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Working with Us Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us. The Director, HRBP for Informatics and Predictive Sciences, and Global Biometric Data Science provides strategic people partnership to senior leaders across our Research and Development organizations. Additionally, this role will serve as the research function lead for change management as well as digital talent strategies and will work in close partnership with counterparts in the Development and Commercialization HR functions as well as the relevant Centers of Expertise (CoEs). This role provides HR leadership in driving the people strategy, workforce planning, organizational design, talent management, team effectiveness, and change management. The client group may be present in multiple BMS locations/geographies/global functions, requiring close alignment with the People Org and function leadership to ensure pull-through of workforce planning and talent strategy. Key Responsibilities: Provides strategic HR Business Partner expertise to Informatics and Predictive Sciences, and Global Biometric Data Science to maximize organizational performance. Leverages business strategy, people strategy, external best practices and organizational insights to deliver bold and innovative organizational and talent solutions, including organizational design, workforce planning, talent management, and culture change. Aligns corporate and functional strategies with BMS people strategy, monitoring the effectiveness of organizational performance programs through metrics and analytics to bring value through the business. Collaborates with Centers of Excellence (COE's) to monitor external environment (e.g., job market, technology, demographic development) and define future workforce requirements (quantitative and qualitative) as well as identifying and articulating the People needs of the business to the COE's and deploys their programs and processes in ways that bring value to the business. Drives the ONE People team across the region and provides guidance and collaborates with therapeutic area HR Business Partners, COEs and People Services leaders for effective global deployment of People activities. Analyzes key data and trends to drive organizational effectiveness and the development of a workforce plan aligned with business strategy and objectives. Supports succession planning, talent retention efforts and pipelining, as necessary, for external talent. Serve as Research Partner Lead for digital enablement, transformation, and change, inclusive of projects such as workforce planning, digital tool development, and culture plans that elevate the role of digital and automation Additional Responsibilities Role Model our BMS Values of Integrity, Innovation, Urgency, Passion, Accountability, and Inclusion. Ensures end-to-end org design, encompassing communication and effective change management. Translate business strategy and organizational needs into contemporary organizational solutions including organizational design, inclusion and diversity, succession & talent management, and culture change. Collaborate across the People OP Model (COE's, People Services) to articulate business needs and partners in delivering solutions in ways that bring value across the enterprise. Applies judgment to data insights and trends to support business talent and organization decisions that drives organizational effectiveness and innovative and robust workforce planning, engagement strategies, and succession management Shape and lead change management efforts to ensure delivery of organizational solutions, programs, and deliverables. Requirements: BA/BS Degree, Advanced Degree preferred, and 10+ years of HR relevant business experience Proven leadership effectiveness in followership, innovation, people program/project management, and executive coaching, demonstrating the ability to inspire and guide teams, foster a culture of creativity and continuous improvement, manage complex projects and programs efficiently, and provide strategic coaching to senior executives to enhance their leadership capabilities. Expertise in talent management, including end-to-end talent acquisition, performance management, engagement, and diversity, equity, and inclusion. Demonstrated experience utilizing data and analytics to drive business and talent decisions, including data analysis, insights generation, data visualization, data integrity, and diagnostic capabilities. Demonstrated behavioral skills in curiosity, learning agility, and growth mindset. Exhibit understanding of regulatory compliance, including the human elements and implications to enterprise and business. Demonstrated strength in strategy and business acumen by influencing and shaping business strategy through people strategy, anticipating external trends, providing context and influence for organizational effectiveness, applying systems thinking, and using a diagnostic mindset to improve talent and business outcomes. Extensive experience in business partnering, including organizational savvy and influence, consulting, performance management, organizational design, change management, and significant leadership skills in building and leading global, diverse teams of People professionals. Extensive experience as an HR business partner with significant leadership skills leading and working across global, diverse teams of HR professionals. Proven success in working effectively at senior management levels to impact and influence decision-making. Experience working with global teams. Experience in leading change management efforts, including defining change and communication plans. Experience in the use of metrics and analytics in a way that drives business performance. Demonstrated experience in applying workforce planning knowledge, engagement strategies, and succession management. Proven experience in working effectively within a matrixed environment and building alignment in a cross-functional and team environment. Knowledge of external trends and factors that influence human behaviors and decision-making at the individual, group, and organizational level. The starting compensation for this job is a range from $188,00-$228,00 , plus incentive cash and stock opportunities (based on eligibility). The starting pay rate takes into account characteristics of the job, such as required skills and where the job is performed. Final, individual compensation will be decided based on demonstrated experience. Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit https://careers.bms.com/life-at-bms/ . Benefit offerings are subject to the terms and conditions of the applicable plans then in effect and may include the following: Medical, pharmacy, dental and vision care. Wellbeing support such as the BMS Living Life Better program and employee assistance programs (EAP). Financial well-being resources and a 401(K). Financial protection benefits such as short- and long-term disability, life insurance, supplemental health insurance, business travel protection and survivor support. Work-life programs include paid national holidays and optional holidays, Global Shutdown Days between Christmas and New Year's holiday, up to 120 hours of paid vacation, up to two (2) paid days to volunteer, sick time off, and summer hours flexibility. Parental, caregiver, bereavement, and military leave. Family care services such as adoption and surrogacy reimbursement, fertility/infertility benefits, support for traveling mothers, and child, elder and pet care resources. Other perks like tuition reimbursement and a recognition program. #LI-Hybrid If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as "Transforming patients' lives through science ", every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. On-site Protocol BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role: Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement. BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters. BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/ Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

Leading the future in luxury electric and mobility At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility. We plan to lead in this new era of luxury electric by returning to the fundamentals of great design - where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience. Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we're providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you. Lucid is seeking a data-driven Data Science Manager, Talent Acquisition to lead a team of Data Analysts, driving innovation and efficiency across our growing global TA Analytics and Data Insights function. You will build and manage the end-to-end recruiting analytics process, ensuring data integrity, optimizing operational efficiencies, and delivering strategic insights to inform recruiting and broader business decisions. This role requires strong data science expertise, knowledge of TA or People functions and processes, as well as the ability to lead teams and align work with business strategy. This is an excellent opportunity for an experienced Data Science Lead or Manager with experience in People Analytics or Recruiting Operations. This is a hybrid role based out of our Headquarters in Newark, CA. You Will: Build and own the end-to-end analytics strategy for global TA, aligning data initiatives with business priorities and workforce planning needs. Lead, grow, and develop the team of Data Analysts driving innovation and measurable impact across the Talent Acquisition lifecycle. Design and operationalize advanced analytics solutions, including predictive models, funnel diagnostics, and automation tools that improve sourcing, selection, and hiring outcomes. Define and evolve TA KPIs, metrics, and success frameworks, ensuring they support business goals, DEI commitments, and operational excellence. Oversee the development and automation of scalable reporting infrastructure using Tableau and other BI tools, enabling real-time insights and self-service analytics for global recruiting teams. Provide executive-level insights and storytelling that influence strategic decisions on headcount planning, talent marketing, and recruiter performance. Ensure end-to-end data integrity across systems by partnering with business owners, IT teams, and external vendors to resolve inconsistencies and drive data governance. Lead cross-functional initiatives with People Analytics, HR Tech, and Talent Operations to scale data-informed recruiting practices and improve stakeholder experience. Establish rigorous QA and data audit processes, proactively surfacing risks, data gaps, and training needs to TA leadership. Champion ethical and responsible use of data, particularly in areas like candidate experience, fairness in AI, and DEI hiring analytics. Research, evaluate and innovate where AI can be utilized to progress TA analytics at Lucid long term You Bring: 8+ years of relevant data science experience in People Analytics, Talent Acquisition Analytics, Business Intelligence, or Recruiting Operations. Proven experience leading data science or analytics teams, ideally within Talent Acquisition, HR, or People. Ideally designing a Talent Analytics ecosystem from the ground up. Deep expertise in statistical analysis, predictive modeling, and machine learning, with a strong ability to translate findings into business impact. Advanced proficiency in Python, SQL, and data visualization tools (e.g., Tableau, Power BI); familiarity with data pipeline tools and cloud platforms (e.g., Airflow, Snowflake, AWS/GCP). Strong understanding of Recruiting metrics, including experience with Applicant Tracking Systems (ATS) such as Greenhouse, SAP SuccessFactors, or LinkedIn Recruiter & Insights (a plus). Demonstrated ability to influence leaders and cross-functional stakeholders and translate complex data into clear, actionable recommendations. Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics or related field. Masters or PhD in related field preferred. Salary Range: The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors. Additional Compensation and Benefits: Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid's equity program and/or a discretionary annual incentive program, subject to the rules governing such programs. (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.) Base Pay Range (Annual) $167,200-$245,190 USD By Submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice. If you are a California resident, please refer to our California Candidate Privacy Notice. To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes.

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Are you a driven graduate student eager to make a real impact at a cutting-edge technology company? Xometry's Summer Internship Program offers a unique opportunity to gain hands-on experience and develop advanced skills in the rapidly evolving world of digital manufacturing. We're looking for a passionate and talented Data Science Intern (Master's/PhD) to join our team! What You'll Do: As a Data Science Intern at Xometry, you'll contribute to projects that leverage advanced analytical techniques to optimize our manufacturing processes, improve customer experience, and drive business decisions. You can expect to work in an environment that encourages innovation and provides hands-on experience in applying cutting-edge data science techniques to real-world challenges.You will: Develop and implement advanced statistical models and machine learning algorithms for tasks such as demand forecasting, predictive maintenance, or supply chain optimization. Conduct in-depth data analysis to identify trends, patterns, and insights from large datasets related to manufacturing operations, customer behavior, and market dynamics. Design and execute experiments to evaluate the effectiveness of different data-driven strategies. Collaborate with engineers, product managers, and business stakeholders to understand business needs and translate them into impactful data science solutions. Contribute to the development of data pipelines and infrastructure for data science applications. Communicate complex technical findings clearly and effectively to both technical and non-technical audiences. Potentially contribute to research and publications related to your work. What We're Looking For: Academic Excellence: Currently enrolled in a Master's or PhD program at an accredited college or university, graduating in December 2025 or May 2026, with a strong academic record. The ideal candidate will be pursuing a Master's or PhD degree in: Data Science, Statistics, Machine Learning, or a related quantitative field. Technical Skills: Strong foundation in statistical modeling, machine learning, and data mining techniques. Proficiency in programming languages (e.g., Python, R) and data visualization tools. Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is highly desirable. Research Experience (PhD candidates): Experience conducting independent research and contributing to publications is a plus. Strong Work Ethic: Ability to work full-time (40 hours/week) during the internship period (June 9 - August 15, 2025). Excellent Communication Skills: Strong verbal and written communication skills, including the ability to explain complex technical concepts clearly and concisely to both technical and non-technical audiences. Problem-Solving Skills: A strong analytical mindset and a passion for problem-solving. Legal Authorization: Ability to provide proof of legal right to work in the United States.Loca tion Requirement: Ability to commute to our Lexington, KY or North Bethesda, MD office to work onsite for at least 3 days a week. Provide Unofficial Transcript #LI-Hybrid Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

We're defining what it means to build and deliver the most extraordinary sports and entertainment experiences. Our global team is trailblazing new markets, developing cutting-edge products, and shaping the future of responsible gaming. Here, "impossible" isn't part of our vocabulary. You'll face some of the toughest but most rewarding challenges of your career. They're worth it. Channeling your inner grit will accelerate your growth, help us win as a team, and create unforgettable moments for our customers. The Crown Is Yours Our team comprises algorithm experts and data science technologists, coming together to develop innovative data products that solve analytically challenging problems at DraftKings. Risk data science at DraftKings directly influences revenue, customer trust, and regulatory compliance. As a Senior Lead Data Science Engineer, Risk on this team, you're not just optimizing metrics-you're enabling safe play at scale. Your contributions will harden our defenses, reduce financial exposure, and support responsible platform growth. What you'll do as a Senior Lead Data Science Engineer, Risk Apply deep statistical reasoning and analytical creativity to detect, model, and counter evolving fraud patterns-where ground truth is ambiguous and adversaries adapt in real time Orchestrate end-to-end ML lifecycle planning across teams, with a focus on deeply analytical modeling approaches-ensuring solutions are mathematically grounded, interpretable, and resilient to adversarial manipulation. Design and implement scalable ML pipelines for real-time and batch environments, including robust testing, statistical validation, and data/application monitoring strategies to detect and mitigate adversarial behaviors such as payment abuse and stolen identities. Lead cross-functional technical strategy in how DraftKings builds, deploys, and maintains machine learning systems for fraud detection, trust, and identity verification, ensuring performance, scalability, and reliability across domains. Set the architectural and technical vision across teams, translating risk detection needs into measurable, production-ready outcomes-while shaping the future technical direction of our ML risk platform in close partnership with Risk Ops, Product, Legal, and Engineering. Drive process innovation in model development and evaluation, including backtesting frameworks, experimentation infrastructure, and system-level reporting to accelerate iteration and reduce model risk. Break down large, ambiguous initiatives into multi-team, technically executable plans, ensuring timely delivery across multiple sprints. Mentor senior engineers and technical leads across domains, setting modeling standards and fostering organizational excellence through scalable design reviews and capability-building. What you'll bring 8+ years of engineering experience, including 5+ years building and operating ML/AI systems at scale in production environments-especially in adversarial domains like fraud, risk, or abuse detection. Deep mastery of applied machine learning and statistical modeling, including the ability to formulate ambiguous problems with mathematical rigor and deliver accurate, interpretable solutions under real-world constraints. Exceptional critical thinking skills and a proven ability to design robust models in adversarial settings, where data is noisy, incomplete, or intentionally deceptive. Expert-level Python skills, with fluency in ML tooling and experience in other languages or frameworks that support scalable deployment. Hands-on experience with modern ML infrastructure and platforms, such as Databricks, Kubernetes, Terraform, Kafka, and MLflow. Track record of mentoring leads and scaling technical rigor across teams, coupled with high autonomy and the ability to drive cross-cutting strategic initiatives. Executive-level communication and influence, capable of aligning technical direction with cross-functional leadership across Legal, Risk Ops, Product, Compliance, and Engineering to deliver platform-wide outcomes. A commitment to continuous learning, with a passion for staying up to date on emerging ML technologies and fraud tactics in evolving risk landscapes. A Master's or PhD in a relevant field such as Computer Science, Statistics, or Mathematics is preferred. Join Our Team We're a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don't worry, we'll guide you through the process if this is relevant to your role. The US base salary range for this full-time position is 160,000.00 USD - 200,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

We are seeking a strategic, collaborative, and technically skilled Director of Data Science to lead and grow our data science team. In this role, you will shape the team's vision, foster an inclusive and high-performing culture, and drive impactful machine learning and advanced analytics initiatives across the organization. You will work closely with cross-functional partners to address complex challenges and embed data science into our core products, services, and operations. The role will report to the VP of Data & Analytics. What You'll Do Leadership & Strategy Define and lead the data science vision, strategy, and roadmap in alignment with business goals and measurable outcomes Act as a strategic advisor and thought leader, championing the adoption and responsible use of AI/ML across the organization Advocate for ethical, transparent, and compliant data use, upholding standards of fairness and accountability in all initiatives Team Development & Management Build, mentor, and lead a high-performing, collaborative team of data scientists Foster a culture of inclusion, innovation, and continuous learning within the team Set clear goals and development plans to support team growth and success Cross-Functional Collaboration Partner closely with Sales, Product, Marketing, Customer Success, Engineering, and other teams to drive impactful data science initiatives Serve as a bridge between technical teams and business units, ensuring alignment on priorities, deliverables, and strategic value Analytical & Communication Excellence Translate complex, ambiguous problems into structured, actionable analytical solutions Deliver clear, compelling insights to both technical and non-technical audiences through storytelling and data visualization Present findings and strategic recommendations to senior and executive stakeholders to influence high-level decisions Model Development & Operations Oversee the full lifecycle of machine learning models, including development, validation, deployment, monitoring, and continuous improvement Collaborate with Data Engineering to design scalable, well-defined data assets, features, and metrics that support evolving analytical and product needs Standards & Best Practices Establish and promote best practices in experimentation, modeling, data governance, and model reproducibility Ensure robust documentation, version control, and transparency across all projects to support sustainability and auditability What You'll Need Minimum Qualifications 8+ years in data science or machine learning roles, including 3+ years in a leadership position Advanced degree (PhD/MS) in a quantitative field such as Computer Science, Statistics, Mathematics, or similar Proven experience deploying machine learning models at scale in production environments Preferred Qualifications Background in SaaS or experience working with B2B business models Strong programming skills in Python and experience with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Deep understanding of statistical modeling, causal inference, and A/B testing Excellent communication and stakeholder management skills Familiarity with modern data stacks: cloud data warehouses (Snowflake, BigQuery), orchestration tools, and MLOps platforms Experience with NLP, recommendation systems, or time-series forecasting. Experience managing and growing technical talent Working Conditions & Travel Requirements Reliable internet access for any period of time working remotely, not in a Workiva office Up to 20% travel How You'll Be Rewarded Salary range in the US: $177,000.00 - $284,000.00 A discretionary bonus typically paid annually Restricted Stock Units granted at time of hire 401(k) match and comprehensive employee benefits package The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors. Workiva is an Equal Employment Opportunity and Affirmative Action Employer. We believe that great minds think differently. We value diversity of backgrounds, beliefs, and interests, and we recognize diversity as an important source of intellectual thought, varied perspective, and innovation. Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression genetic information, marital status, citizenship status or any other protected characteristic. We strongly encourage and welcome people from historically marginalized groups to apply. Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email talentacquisition@workiva.com. Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards. Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment. #LI-LP1

Company Background: Established in 1928, Genuine Parts Company is a leading global service organization specializing in the distribution of automotive and industrial replacement parts. Our Automotive Parts Group operates across the U.S., Canada, Mexico, Australasia, France, the U.K., Ireland, Germany, Poland, the Netherlands, Belgium, Spain and Portugal, while our Industrial Parts Group serves customers in the U.S., Canada, Mexico and Australasia. We keep the world moving with a vast network of over 10,700 locations spanning 17 countries supported by more than 60,000 teammates. Position Purpose: Seeking world-class talent to join the world's leading distributor of automotive and industrial replacement parts and value-added services operating 5,500+ locations and servicing more than 20,000 locations in the U.S and Canada. Specifically, this role will function as the Senior Product Manager in a team working to build next generation product and fitment catalog data management system. Working with this highly talented team, you'll play a key role to build and run one of the world's largest automotive and industrial replacement parts operations. If you are passionate and a seasoned product leader yearning to transform experiences for millions of customers and thousands of passionate associates, we are looking for you to join GPC leadership team as a Senior Product Manager. The Senior Product Manager is responsible for finding and delivering business value to drive sales, improve efficiency, and improve customer satisfaction through the exploration of problems, solutions and the production of quality products. Within their designated enterprise product, the Senior Product Manager focuses on delivering value by leading the strategic vision and product roadmap across the customer journey and ensuring all products within their portfolio are aligned to the vision. The Senior Product Manager identifies and connects interdependencies with other products within the customer journey. They support business reviews, communicate the product vision, and present across all levels of the organization. This Senior Product Manager role will oversee, and direct creation of products leveraging data science to improve Master Data Management in the Product & Catalog domain and in the Product Search domain. Additionally they will be a key stakeholder in the expansion of data science across GPC Technology. They will also orchestrate work addressing customer pain points across the GPC enterprise, and lead teams in the definition, discovery, design, development, and delivery of end-to-end service and experience capabilities leveraging technology, operations, and process. Responsibilities: Strategic Collaborate with engineering to translate business strategy into product strategy Own and maintain product opportunity and delivery roadmaps Maintain knowledge of competitive landscape and technology innovations Drive growth & efficiency for the business by applying domain expertise to provide thought leadership and translate vision into action Ideate and discover where products & technology can drive business value Execution Define and communicate value propositions, OKRs, success metrics, and outcomes Develop deep knowledge of business processes for the domain Drive prioritization of product capabilities Collaborate and drive cross-domain prioritization and sequencing of activities Create/document/track KPIs to measure relevant business goals for the domain Stakeholder Management Represent domain during enterprise planning and discovery Manage stakeholder expectations to ensure scoping, backlog and delivery aligns with product strategy Provide regular updates to product roadmap and outcomes Tactical Represent business throughout technology development process Document requirements (functional and non-functional) via epics, features and user stories Maintain and prioritize product backlog Track releases and communicate delivery roadmap Plan and conduct user showcases and acceptance testing Work with agile practitioners and engineering to improve the overall delivery lifecycle Other duties as assigned Location: GPC has two work locations to choose from, Duluth or Atlanta office. We offer a Flexible Work Policy that permits eligible employees to work a hybrid remote schedule. Desired Qualifications & Experiences: Degree in Computer Science or Engineering fields or equivalent years of experience preferred 10 years' experience in product and/or experience management. 10 years' experience in scrum/agile development methodology. 10 years' experience participating in product backlog prioritization and grooming/refinement 10 years' product ownership and helping drive road-mapping, planning and delivery in an agile environment. 5 years' experience in designing & building data science (ML-Model or AI Based) solutions 3 years' experience designing and setting up experimentation, A/B tests and measure the key KPIs based on the optimization objectives. Experience designing Catalog/Product Data Management and Syndication solutions using MDM Platforms equivalent to or similar to STIBO STEP Experience designing cataloging data management/distribution processes and solutions for the Automotive Aftermarkets domain is a plus. Knowledge of Automotive Aftermarket Industry Catalog Exchange Standards like ACES and PIES is a plus Experience in defining strategy and road map for exposing the product catalog, vehicle, location platform services in the form of necessary APIs and feeds required for the clients and partners. Demonstrated experience with analytical and critical thinking skills; ability to use data to break down complex problems and formulate plans. Experience supporting, mentoring and managing product owners is a plus Experience in the B2B and retail business is a plus Mastery of identifying goals, metrics and analytics to measure product value Proficiency in creating, prioritizing and accepting user stories Proficiency in conducting user research and testing to understand needs Proficiency in conducting competitive research and analysis Proficiency in guiding more junior team members through Product Management fundamentals in a professional setting Not the right fit? Let us know you're interested in a future opportunity by joining our Talent Community on jobs.genpt.com or create an account to set up email alerts as new job postings become available that meet your interest! GPC conducts its business without regard to sex, race, creed, color, religion, marital status, national origin, citizenship status, age, pregnancy, sexual orientation, gender identity or expression, genetic information, disability, military status, status as a veteran, or any other protected characteristic. GPC's policy is to recruit, hire, train, promote, assign, transfer and terminate employees based on their own ability, achievement, experience and conduct and other legitimate business reasons.

We are seeking a strategic, collaborative, and technically skilled Director of Data Science to lead and grow our data science team. In this role, you will shape the team's vision, foster an inclusive and high-performing culture, and drive impactful machine learning and advanced analytics initiatives across the organization. You will work closely with cross-functional partners to address complex challenges and embed data science into our core products, services, and operations. The role will report to the VP of Data & Analytics. What You'll Do Leadership & Strategy Define and lead the data science vision, strategy, and roadmap in alignment with business goals and measurable outcomes Act as a strategic advisor and thought leader, championing the adoption and responsible use of AI/ML across the organization Advocate for ethical, transparent, and compliant data use, upholding standards of fairness and accountability in all initiatives Team Development & Management Build, mentor, and lead a high-performing, collaborative team of data scientists Foster a culture of inclusion, innovation, and continuous learning within the team Set clear goals and development plans to support team growth and success Cross-Functional Collaboration Partner closely with Sales, Product, Marketing, Customer Success, Engineering, and other teams to drive impactful data science initiatives Serve as a bridge between technical teams and business units, ensuring alignment on priorities, deliverables, and strategic value Analytical & Communication Excellence Translate complex, ambiguous problems into structured, actionable analytical solutions Deliver clear, compelling insights to both technical and non-technical audiences through storytelling and data visualization Present findings and strategic recommendations to senior and executive stakeholders to influence high-level decisions Model Development & Operations Oversee the full lifecycle of machine learning models, including development, validation, deployment, monitoring, and continuous improvement Collaborate with Data Engineering to design scalable, well-defined data assets, features, and metrics that support evolving analytical and product needs Standards & Best Practices Establish and promote best practices in experimentation, modeling, data governance, and model reproducibility Ensure robust documentation, version control, and transparency across all projects to support sustainability and auditability What You'll Need Minimum Qualifications 8+ years in data science or machine learning roles, including 3+ years in a leadership position Advanced degree (PhD/MS) in a quantitative field such as Computer Science, Statistics, Mathematics, or similar Proven experience deploying machine learning models at scale in production environments Preferred Qualifications Background in SaaS or experience working with B2B business models Strong programming skills in Python and experience with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Deep understanding of statistical modeling, causal inference, and A/B testing Excellent communication and stakeholder management skills Familiarity with modern data stacks: cloud data warehouses (Snowflake, BigQuery), orchestration tools, and MLOps platforms Experience with NLP, recommendation systems, or time-series forecasting. Experience managing and growing technical talent Working Conditions & Travel Requirements Reliable internet access for any period of time working remotely, not in a Workiva office Up to 20% travel How You'll Be Rewarded Salary range in the US: $177,000.00 - $284,000.00 A discretionary bonus typically paid annually Restricted Stock Units granted at time of hire 401(k) match and comprehensive employee benefits package The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors. Workiva is an Equal Employment Opportunity and Affirmative Action Employer. We believe that great minds think differently. We value diversity of backgrounds, beliefs, and interests, and we recognize diversity as an important source of intellectual thought, varied perspective, and innovation. Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression genetic information, marital status, citizenship status or any other protected characteristic. We strongly encourage and welcome people from historically marginalized groups to apply. Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email talentacquisition@workiva.com. Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards. Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment. #LI-LP1

Benefits: 401(k) 401(k) matching Bonus based on performance Company parties Competitive salary Dental insurance Employee discounts Health insurance Opportunity for advancement Paid time off Parental leave Training & development Vision insurance Wellness resources Job Description: We are looking for a strategic and data-driven thinker to join our dynamic team at a rapidly growing moving and junk hauling company. This pivotal role will leverage data to drive smarter decision-making across various functions, including marketing, operations, pricing, and customer experience. You will lead a small team, producing work yourself while enhancing the team's skills and productivity. The ideal candidate is a curious problem-solver with strong analytical skills, capable of transforming raw data into actionable insights. You will collaborate closely with senior leadership to define key metrics, build predictive models, and identify opportunities for growth and efficiency. Key Responsibilities: Analyze large datasets to uncover trends, patterns, and business opportunities. Develop predictive models to enhance forecasting, pricing, and resource allocation. Collaborate with marketing, sales, operations, product, and finance teams to support data-driven decisions. Create dashboards and reporting tools to monitor key performance indicators (KPIs) across the business. Implement data infrastructure and best practices to ensure scalability. What You'll Do: Strategy & Planning: Partner with stakeholders to define business and system requirements for business intelligence (BI) and analytics. Collaborate with IT on data architecture and data warehousing strategies. Optimize data resource utilization and streamline reporting, dashboards, and analytics. Develop staffing and training plans, leveraging automation and offshore resources. Drive adoption of BI programs and define key success metrics. Implement best practices for high-availability issue resolution and compliance. Operations: Develop short- and long-term BI strategies to align with evolving business needs. Foster a data-driven culture through self-service analytics and data literacy programs. Research and recommend emerging data technologies and innovations. Ensure alignment of change management practices with company policies. Maintain executive and cross-functional communication to enhance data-driven decision-making. Recruit, develop, and retain top talent for BI and analytics initiatives as needed What You Bring: Experience: University degree in data science, computer science, information systems, or business administration, with 5+ years of related work experience, including 2+ years in a senior data leadership role. Experience with forecasting models and methodologies. Experience with AI. Proven experience in BI/data warehousing. Experience with data analytics platforms such as Tableau and Redshift. Proven experience in building and managing virtual teams. Proven experience developing business cases, departmental budgets, forecasting, and predictive modeling. Home service experience, marketing data, and call center data experience preferred. Skills: Highly proficient in data visualization tools (e.g., Tableau, Power BI). Strong statistical knowledge and experience with machine learning models. Strong understanding of project management principles and experience using project management tools. Excellent written, oral, and interpersonal communication skills. Proficient in SQL, Python (preferred). Ability to communicate complex data concepts in business-friendly language Flexible work from home options available.

Job Family: Program Analysis (PAN) Travel Required: Up to 10% Clearance Required: Active Top Secret (TS) What You Will Do: Capture of Data and Information: Use various software applications to best capture and report on desired data elements and information related to criminal activity and client operational accomplishments, including but not limited to cases filed, defendants charged and convicted, trials and outcomes, sentences to imprisonment, monetary sanctions, and estimated reductions in illegal activity as a result of criminal enforcement actions. Design input data collection forms to facilitate and standardize data collection. Review and assesses new software applications to improve efficiency and functionality of case tracking and reporting activities. Convert data for inclusion into databases, spreadsheets, and charting or graphical software presentation programs. Designs and produce output reports, summary tables, graphs and charts from database information. Research and Analysis: o Conduct special studies, research, and evaluation activities to assess and inform managers. Development of Presentations: o Design and produce PowerPoint and other graphics presentations for use by managers. Statistical Work: o Serve as technical expert on federal, state and local crime and caseload statistics, as well as other criminal justice data and policy issues. o Provide assistance to senior analysts on quantitative analysis and research methodologies regarding ongoing research studies, data analysis and program evaluations. o Analyze and interpret data to identify significant findings and trends using statistical or analytical software programs such as SAS, SPSS, Microsoft Access, and/or Excel. What You Will Need: An ACTIVE and MAINTAINED TOP SECRET Federal or DoD security clearance Bachelors degree FIVE (5) years' experience in statistics and data science. Experience in utilizing various types of software, such as Government- developed software, Microsoft Office suite including Word, Excel, and Power Point, conducting research and analysis of data, and reporting of results. Ability to plan and organize work effectively. Knowledge of statistics and quantitative analysis. Ability to communicate effectively, both orally and in writing. Ability to work with individuals and groups at all organizational levels. What Would Be Nice To Have: Advanced Degree Experience working in Law Enforcement or government setting Ability to commute onsite daily The annual salary range for this position is $75,800.00-$113,600.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Razor Group is seeking a highly driven and analytical leader to join our team as the owner and Vice President of the Decision Engine, managing the optimization and automation of pricing, advertising, demand planning, and inventory management. This is a unique opportunity to have a massive impact at a rapidly growing company by directly influencing the profitability and growth of our portfolio of brands. You will build and lead a talented team in developing and implementing the core algorithmic logic that powers our automated decision-making engine, optimizing pricing and advertising strategies for thousands of consumer products. This role offers a high degree of ownership, autonomy, and the chance to shape the future of e-commerce

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft's products and decision-making. As a member of the Rider & Safety team, you will work in a dynamic environment, where we embrace moving quickly to build the world's best transportation. Data Scientists take on a variety of problems ranging from shaping critical business decisions to building algorithms that power our internal and external products. We're looking for passionate, driven Data Scientists and managers to take on some of the most interesting and impactful problems in ridesharing. We're seeking a highly analytical and product-focused leader with strong business intuition, technical expertise, and a collaborative mindset. The ideal candidate is deeply curious, comfortable navigating ambiguity, and passionate about leveraging data to drive product strategy and business outcomes. As the data science manager, you'll help develop the vision, set roadmaps, and lead execution for projects in Rider New Product & Partnerships. These pods are responsible for some of the key strategic initiatives in Rider, with frequent exposure to the company's senior leadership team. You will be reporting to the Senior Data Science Manager leading Lyft's Rider & Safety Data Science & Analytics team. Responsibilities: Lead and grow a high-performing team of data scientists with various backgrounds including analytics, experimentation, machine learning, and causal inference. Lead and coach the team to investigate complex problems and identify key drivers of product performance and customer behavior Be a thought leader and go-to expert for goals, strategy, and long-term vision Develop clear, insight-driven narratives about our users, translating findings into actionable recommendations Influence product roadmaps by forming data-backed perspectives and guiding prioritization decisions Operate effectively at both the strategic and tactical levels, including regular engagement with senior leadership Facilitate and foster a data-driven culture and informed decision making and prioritization Design and implement data frameworks to evaluate and prioritize high-impact product initiatives Experience: Advanced degree in a quantitative field like computer science, statistics, economics, operations research, or engineering; or relevant work experience 6+ years of hands-on technical experience in machine learning, causal inference, or data science 4+ years of management experience building and leading data science teams Strong track record of using machine learning and data science to improve business outcomes Strong track record of guiding teams through unstructured technical problems to deliver business impact Skilled at managing cross-functional relationships and communicating with leadership across multiple teams Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible Subsidized commuter benefits Lyft Pink- Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule- Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the New York City area is $176,000 - $220,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process. Total compensation is dependent on a variety of factors, including qualifications, experience, and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Who We Are Applied Materials is the global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips - the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world - like AI and IoT. If you want to work beyond the cutting-edge, continuously pushing the boundaries of science and engineering to make possible the next generations of technology, join us to Make Possible a Better Future. What We Offer Location: Santa Clara,CA At Applied, we prioritize the well-being of you and your family and encourage you to bring your best self to work. Your happiness, health, and resiliency are at the core of our benefits and wellness programs. Our robust total rewards package makes it easier to take care of your whole self and your whole family. We're committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits. You'll also benefit from a supportive work culture that encourages you to learn, develop and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible-while learning every day in a supportive leading global company. Visit our Careers website to learn more about careers at Applied. Looking for a local Master's level student for this year-round co-op! Position will be full time in the summer and part time during the school year. Role is fully in-person. Applied Materials is the leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale helps our customers - who make smartphones, supercomputers, virtual reality headsets, autonomous vehicles and more - transform their ideas into reality. Our innovations Make Possible a Better Future. Inside our company, we apply the idea of make possible as we work together. We value our people and teams who turn possibilities into reality by advancing our strategy, accomplishing great things and empowering others. We are deeply committed to fostering a Culture of Inclusion where every person knows they belong, feels empowered to bring their whole self to work, and is inspired to grow. Applied Materials' Joint Operations Leadership (JOLT) data science team is searching for an intern to join our team in 2025! JOLT strategies in rebuild customer trust, create agile and resilient supply chain, reshape supply chain/ supplier relationships, drive operational excellence, and maximize profitability using data science and machine learning. The position will entail the following: Works in project teams developing difficult analytical models, algorithms and automated processes, research and develop machine learning models from inception to deployment. Use data mining and machine learning algorithms to provide insights into historical and real-time data for projects such as material forecast, demand forecast, pattern recognition, etc. Interfaces with internal customers for requirements analysis and special requests and schedules; derives insights and works with business units to determine actions and KPI for those actions. Interacts with product and service teams to identify questions and issues for data analysis and experiments; Supports the timely development of products for manufacturing and process information by applying sophisticated data analytics, based on a very good knowledge of the business processes and needs. Works in project teams as subject matter expert to design and development of program methods, processes, and systems to consolidate and analyze structured and unstructured, diverse "big data" sources. Requirements: In school to obtain Master's degree in Data Science, Data Analytics, Computer Science, Statistics, Mathematics, or a related field Preferred skills: Python, SQL, Tableau, HTML Additional Information Time Type: Full time Employee Type: Intern / Student Travel: Relocation Eligible: No The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable. For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement. Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law. In addition, Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at Accommodations_Program@amat.com, or by calling our HR Direct Help Line at 877-612-7547, option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.

Job Description: Data Science Manager - Derivatives Products Building trusted markets -powered by our people. Company Overview At Cboe Global Markets, we inspire our people to solve complex challenges together because what we do matters. We provide the financial infrastructure that powers the global economy. As a leading provider of market infrastructure and tradable products, Cboe delivers cutting-edge trading, clearing and investment solutions to market participants around the world. We're building inclusive ways to support professional and personal development while strengthening the trust we've earned as a global market leader. Our teams are empowered to share ideas, actively pursue them and bring on a challenge. As champions of internal mobility and access to opportunity, we encourage our people to "go for it" and equip our managers with the training to coach their teams to the next level. Our Associate Resource Groups champion diversity, equity and inclusion, giving associates a safe space to network, share ideas and create opportunities. The Cboe Data Vantage group seeks a Data Science Manager to join our team. Data Vantage provides derivatives valuation, risk analytics, and margin services that enable institutional clients to manage derivatives risk and enhance and support investment strategies. This role will focus on our global real-time option model fitting processes that apply models including binomial, SABR, and MJD and use machine learning for real-time calibration. This is an opportunity to advance one's knowledge of the derivatives markets, gain hands on exposure to a uniquely vast amount of analytic data, and to work within a team with deep experience in financial markets and computer science who are committed to improving information in the financial markets. Location: NYC or Chicago (flex hybrid) Responsibilities Apply statistics including use of predictive analytic methods to assess the integrity, stability, and reliability of the model results over time. Propose and develop new metrics and data views that can help us maintain and improve the fitness of our derivatives risk analytics and supporting data processes. Collaborate with Development teams to help create Quality Engineering tooling and frameworks. This includes providing R&D results along with specifications and prototypes. Qualifications The candidate will have a strong understanding of statistical concepts and data science methods. Masters degree required in a quantitative discipline such as Statistics, Operations Research, Engineering, Physics, Math, or Computer Science. Academic and/or industry experience with statistical modeling and predictive analytics 5+ years of experience, ideally in financial industry with exposure to financial products (e.g. equities and options, fixed income) and could include experience with option pricing models such as Black Scholes, or rates curve bootstrapping and models such as Nelson Siegel. Strong proficiency in programming/scripting languages such as Python or R, and SQL is a requirement. Ability to write code and analyze large data sets. Familiarity with Java is a plus. Experience with optimization approaches is a plus. Communication skills to work effectively with both technical and business side team participants. Benefits and Perks of working for Cboe Global Markets We value the total wellbeing of our people - including health, financial, personal and social wellness. We believe standard benefits like health insurance and fair pay are a given at any organization. Still, you should know we offer: Medical Coverage Prescription Drug Coverage Additional Medical Benefit Dental Coverage Vision Coverage Spending Accounts Life and AD&D Insurance Retirement Savings Plan Employee Stock Purchase Plan (ESPP) Voluntary & Additional Benefits Paid Time Off More About Cboe Europe We're reimagining the future of the workplace by focusing on what matters most, our people. Our journey is an inclusive one. We're investing deeply in leadership programs and career development initiatives that ensure everyone has an equal chance to succeed. We celebrate the diversity in our communities, inside and out, and welcome new perspectives with equity, inclusion and belonging. We work with purpose, solving problems with ingenuity, collaboration, and a lot of passion. We're an engaged and excited team connecting markets across borders and embracing growth in all its forms to achieve incredible outcomes. Learn more about life at Cboe on our website and LinkedIn. Equal Employment Opportunity We're proud to be an equal opportunity employer - and celebrate our associates' differences, including race, religion, sex, sexual orientation, gender identity, national origin, age and disability #LI-JS1 #LI-HYBRID Our pay ranges are determined by a number of factors, including, but not limited to, role, experience, level, and location. The national new hire base pay range for this job in the United States is $125,800-$155,400. This range represents the minimum and maximum base pay the company expects to offer for new hires working in the position full time. If you live in one of the following areas or if you work in a Cboe office in the following areas, the range may be higher according to the geographic differentials listed below: US Geographic Differentials: 110%: Austin TX, Chicago IL, Denver CO, San Diego CA 115%: Los Angeles CA, Seattle WA 120%: Boston MA, Washington DC 125%: New York City NY 130%: San Francisco CA Within the range, individual pay is determined by a number of factors, including, but not limited to, work location, job-related skills, experience, and relevant education or training. In addition to base pay, our total rewards program includes an annual variable pay program and benefits including healthcare (medical, dental and vision), 401 (k) with a generous company match, life and disability insurance, paid time off, market-leading tuition assistance, and much more! Your recruiter will provide more details about the total compensation package, including variable pay and benefits, during the hiring process. For further information on our total rewards program, visit TOTAL REWARDS @CBOE. Any communication from Cboe regarding this position will only come from a Cboe recruiter who has a @cboe.com email or via LinkedIn Recruiter. Cboe does not use any other third party communication tools for recruiting purposes.

ROLE SUMMARY Global Commercial Analytics (GCA) harnesses the power of data to drive robust analytical insights that inform some of Pfizer's most critical business questions. With colleagues across the globe, GCAs rigorous analytical expertise is depended on as the compass and decision support for the enterprise. Our dynamic, exciting team of subject-matter experts comes from diverse backgrounds and experiences, including market research, data science, digital analytics, finance, and consulting. As a team, we partner to turn data into meaningful insights that will have a direct impact on patient's lives and the future of Pfizer as a data-driven organization. The Director, Data Science is accountable for delivering data science driven strategic and tactical support for multiple brands. As a strategic partner to the US Commercial team, this person will develop and implement models and data-science derived insights that drive brands' strategic priorities. This will include driving the execution and interpretation AI/ML models, framing problems, and shaping solutions. Also, this person will help shape the brands' strategies and tactics by interfacing closely with Data Science Solutions team to develop bespoke AI/ML models to meet evolving needs and will also interface closely with sales-operations to drive execution. This role is dynamic, fast-paced, highly collaborative, and covers a broad range of strategic topics that are critical to our business. The successful candidate will join GCA colleagues worldwide that are constantly supporting business transformation through their proactive thought leadership, innovative analytical capabilities, and their ability to communicate highly complex and dynamic information in new and creative ways. ROLE RESPONSIBILITIES Role definition and key accountabilities include, but are not limited to: Commercial Data Science and Insights Provide data science and insights to US Commercial teams to drive brand tactic decisions Act as strategic partner to frame, investigate, translate complex data related models, and answer key business questions related to the identification and evaluation of Commercial brand strategies and tactics Connect machine learning models and insights together to identify Commercial brand opportunities and tactics to execute Guide stakeholders via compelling and persuasive story Strengthen the Brand and Sales teams understanding of marketplace performance and opportunities by analyzing impacts of brand strategies and tactics and partnering on data product solutions. Collaboration with other GCA and Analytics teams Partner with GCA IIS leads to incorporate data science capabilities and insights into analytics plans and recommendations Ensure alignment across GCA Data Science teams and Data Science Solutions teams to ensure cohesive activities with our stakeholders Partner with other analytic functions to advance the use of novel data sources, including RWD PROFESSIONAL CHARACTERISTICS Analytical Thinker: Understands how to synthesize facts and information from varied data sources, both new and pre-existing, into discernable insights and perspectives; takes a problem-solving approach by connecting analytical thinking with an understanding of business drivers and how GCA can provide value to the organization Data and Information Manager: Understands and uses analytical skills/tools to produce data in a clean, organized way to drive objective insights Communicator: Can understand, translate, and distill the complex, technical findings of the data science team into commentary that facilitates effective decision making; can readily align interpersonal style with the individual needs of others Highly Collaborative: Manages projects with and through others; shares responsibility and credit; develops self and others through teamwork Project Manager: Articulates scope and deliverables of projects and delivers analyses within timelines Self-Starter: Eager to take on new responsibilities and opportunities Technical Skills Fluent in English (written and spoken) Strong MS Excel and PowerPoint skills Experience with machine learning technology, such as: big data stack, Python, R, and visualization techniques Experience in understanding brand content, strategy, and tactics Ability to effectively utilize dashboards and data products to derive insights Understands quantitative and qualitative research methodologies Experience in management of secondary data with application of real-world data Ability to partner with cross-functional teams (Commercial, Sales, Operations) to execute brand tactics Ability to connect, integrate and synthesize analysis and data into a meaningful 'so what' to drive concrete strategic recommendations for brand tactics. Capable of describing relevant caveats in data or in a model and how they relate to business question Education and Experience Bachelor's degree required, ideally in quantitative discipline like engineering or data science and 8+ years of work experience Or PhD Degree in a relevant field with good publication/research record and 5+ years of work experience 7+ years' experience in business analytics function, country strategy and/or strategic consulting Experience using data science models to solve problems in a business environment setting Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact. Other Job Details: Work location: Flexible; 2-3 days onsite/week Last Day to Apply: June 9, 2025 The annual base salary for this position ranges from $156,600.00 to $261,000.00. In addition, this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 20.0% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life's moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site - U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. Relocation assistance may be available based on business needs and/or eligibility. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider's name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Marketing and Market Research

As a part of a diverse community of faculty and staff who represent many faith systems and worldviews, the Department of Mathematical and Computational Sciences at Marian University in Indianapolis, IN seeks interested Adjunct Faculty in Computer Science to promote our Catholic Franciscan mission and identity by demonstrating academic excellence and the potential for distinctive contributions to the holistic development of students. Applicants with any level of Computer Science education will be considered. Graduate coursework and a passion for undergraduate experience are preferred. Area of specialization is open, but candidates should be able to assist the department in one or more of the following areas: Data Structures and Algorithms, Computer Graphics, Operating Systems, Programming Languages, Computer Architecture, Information Technology, and Database Systems. Appointments may begin as early as January 2024. Specific courses and academic terms to be determined by the Chair of Mathematical and Computational Sciences based on instructional need. The Department of Mathematical and Computational Science at Marian University is a collaborative academic community committed to fostering student engagement, problem solving, and communication. The department offers degrees in both Mathematics and Computer Science in order to develop transformative leaders for service to the world in a variety of areas of business, government, and education. The department recognizes the breadth of people, thought, and experience that contribute to research, education, and related professions in the mathematical sciences. We welcome everyone interested in mathematics, statistics, computer science, and related fields as we work to build a community that is diverse, respectful, accessible, and inclusive. We are committed to ensuring equitable access to opportunities and resources for people of any race, ethnicity, religious belief, gender identity, age, economic background, disability status, or any other social or physical component of their identity. Through our curriculum, our classrooms, our scholarship, our outreach to the community, and ourselves, we seek to acknowledge and carefully address existing biases, barriers, and uses and abuses of power and privilege. This commitment to reducing discrimination and promoting diversity and inclusion is rooted in the Franciscan Values of Marian University, which make social justice an indispensable part of our calling. Essential Duties and Responsibilities: Actively engage the Catholic Franciscan mission and identity of Marian University by modeling the Franciscan Sponsorship Values and honoring the legacy of the founding congregation through transformative education, unity in diversity, leadership through service, integrating faith and life, and institutional policies. Teach one or more course(s) per semester by arrangement with the Chair of Mathematical and Computational Sciences and the Computer Science faculty. Collaborate closely with the Center for Academic Success and Engagement, Counseling Center, Campus Security and Support, Dining Services, Student Activities and Orientation, the Exchange, Athletics, Student Health Center and Campus Ministry to connect residents to on-campus resources and provide residents with support. Demonstrate cultural competence in race, ethnicity, gender, gender identity expression, sexual orientation, socioeconomic status, ability, ideology, religion, national origin, and other areas of diversity. Required Qualifications: A Bachelor's Degree or higher in Computer Science. Enthusiasm for experiential undergraduate education A commitment to diversity, equity, and inclusion that ensures all types of students can succeed. Review of applications will begin immediately and continue until the position is filled. For Consideration All Applications Require: Cover Letter Current resume or CV Contact information of two professional references. The reference contact information must be entered after the application is submitted in the "My Presence" section of the applicant profile. Responses to the supplementary mission & identity questions. Please Review Marian University's Mission & Identity Statement before responding to the supplementary questions on your application: https://www.marian.edu/faith Marian University is an Equal Opportunity Employer. All individuals, including minorities, women, individuals with disabilities, and veterans are encouraged to apply.

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai's human health care (hhc) mission. We're a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer's disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you. Summary: The MSL (Senior Medical Science Liaison or Principal Medical Science Liaison) is a field-facing representative of US Medical Affairs with a primary responsibility of engaging in the exchange of scientific data and other medical and/or scientific information with external customers (Health Care Providers, researchers, professional organization leadership, and population-based decision makers), including top echelon healthcare leadership, in the areas of Eisai's interest. The person in this position will demonstrate a thorough understanding of the customer's needs, issues and priorities as they relate to Eisai's strategic business plan and is able to 'connect the dots' and see the 'big picture' as it relates to the business. The Senior/Principal MSL brings relevant insights from the field on research developments, treatment landscape and new concepts in medical treatment. The incumbent will also identify patterns and trends in KOL mindset and practices across geographies based on insights. The Senior/Principal MSL will assume a leadership role by coaching and mentoring other MSLs and by assuming responsibility for special projects as they arise. The impact that a Sr MSL/Principal MSL will have on the organization includes the following: Communicating key information about Eisai, the company and it's hhc mission, and key scientific/clinical information about Eisai's products, demonstrating a pattern of good judgment, emotional intelligence, business acumen and therapeutic knowledge. Effectively communicating relevant and fair balanced scientific and clinical information on Eisai products, seeking feedback from decision makers and health care practitioners to ensure patients' needs are being met; leveraging a variety of communication channels to serve as a conduit between Eisai and the medical community in order to share ideas about future collaborative research with Eisai products. Bringing relevant insights from the field on research developments, treatment landscape and new concepts in medical treatment. Providing corporate value through demonstrated leadership and participation in strategic thinking Responsibilities: Senior Medical Science Liaison Responsibilities: Act as the primary clinical/scientific resource to HCPs in the territory for information on disease state and Eisai's product(s) to ensure awareness and understanding. Lead assigned professional congresses in accordance with MSL plan by leading congress coverage efforts, including coordination of all MSL activities, as required. Present clinical, scientific and economic data on Eisai's products and relevant therapeutic areas to population-based decision-makers. Lead projects as appropriate. Establish, foster, cultivate and maintain peer relationships with KOLs in the therapeutic areas in which Eisai has current and future interests. Serve as primary contact to external investigators who submit IISs to provide recommendations for site selection and scientific expertise to Investigators involved in company-sponsored post-marketing studies. Provide mentoring, guidance and training to new hires/ less experienced colleagues; assist with supervision/performance evaluation; assume responsibility for special projects. Provide inputs to strategic planning, work processes and escalate any deviations. Principal Medical Science Liaison Responsibilities: Build advocacy leading to a strong franchise and serve as a conduit for accurate and updated clinical, scientific and medical information between KOLs, other investigators and the company's Medical Affairs and R&D groups. Propose strategic solutions to competitive and clinical practice issues that may be uncovered as part of a field insights observation and analysis. Actively participate in executing Eisai's strategy at scientific meetings, coordinate MSL meeting/booth coverage, and proactively facilitate KOL interactions with Eisai stakeholders. Manage complex projects in parallel, often at a National scope by executing activities within a given area of expertise and providing lateral/indirect leadership and strategic direction to MSLs. Provide field perspective and insight into developing new resources and strategies through industry and scientific acumen. Provide inputs to overall development of strategy, budget and resources including talent pool and address deviations. Provide guidance and training to new hires/ less experienced colleagues. Qualifications: Requires an advanced, terminal Doctorate level (D-level) degree in medical or health sciences (e.g. MD, PhD, PharmD, DPH, EdD). For Sr. MSL,1.5-3+ years of experience in the pharma/biotech industry; previous experience as an MSL preferably in Oncology OR a combination of equivalent education and experience. For Principal MSL, 8+ years of overall experience in Oncology with relevant combination industry/ clinical/ research/ academia; at least 5 years as an MSL in Oncology OR a combination of equivalent education and experience. Experience teaching, coaching, and mentoring new hires and/or less experienced MSLs. Knowledge of disease state management in oncology therapeutic areas along with strong broad-based scientific and pharmaceutical knowledge. Presentation skills, teaching skills, and confidence in discussing drug information/ disease state management. Prior experience in clinical research, drug development and/or clinical pharmacy and a basic understanding of commercial operations, including marketing and sales strategies. Proven performance in earlier role. Established relationships with KOLs in Oncology/Hematology preferred. Possesses an understanding of the pharmaceutical corporate environment and appreciation for commercial operations, including marketing and sales strategies. For Principal MSL, must have prior experience designing strategic solutions to competitive and clinical practice issues. Capable of engaging in frequent business travel (approximately 60% of time), including air travel, ability to travel overnight and occasionally on weekends. Domestic and international travel may include spending time at cancer trial sites/institutions, conference center, offices and hotels. Possesses and maintains a valid driver's license. This is a field-based position. The employee is required to set up a home-based office. Salary range for Sr. MSL is $160,100.00 - $210,100 USD Annual Salary range for Principal MSL is $182,200.00 - $239,085 Annual #LI-MI1 As a condition of employment and an essential function of this field-based position, applicants must be able to engage in person with HCPs and other third parties at their offices, institutions and other appropriate locations on a regular basis. In order to gain in-person access, applicants selected for the position may be required to complete third parties' credentialing and/or entry requirements, which often include an attestation to and/or providing proof of having received certain vaccinations, including but not limited to the COVID-19 or flu vaccines. To the extent you are unable to meet certain requirements for qualifying medical (including pregnancy-related) or religious reasons, applicants must request a reasonable accommodation by contacting the Human Resources Department.Skills:Communication & Cross-functional Influence, Critical Thinking & Agility, Healthcare Environment Dynamics, KOL/ HCP Engagement, Medical Data and Insights, Mentoring, Resource Planning & Management, Territory Management (MSL) Eisai Salary Transparency Language: The base salary range for the Senior Medical Science Liaison (Sr. MSL) / Principal Medical Science Liaison (Principal MSL) Oncology - Northern CA and Los Angeles is from :160,100-210,100 Under current guidelines, this position is eligible to participate in : Eisai Inc. Annual Incentive Plan & Eisai Inc. Long Term Incentive Plan. Final pay determinations will depend on various factors including but not limited to experience level, education, knowledge, and skills. Employees are eligible to participate in Company employee benefit programs. For additional information on Company employee benefits programs, visit https://us.eisai.com/careers-at-eisai/benefits . Certain other benefits may be available for this position, please discuss any questions with your recruiter. Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans. Eisai Inc. participates in E-Verify. E-Verify is an Internet based system operated by the Department of Homeland Security in partnership with the Social Security Administration that allows participating employers to electronically verify the employment eligibility of all new hires in the United States. Please click on the following link for more information: Right To Work E-Verify Participation

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai's human health care (hhc) mission. We're a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer's disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you. Summary: The MSL (Senior Medical Science Liaison or Principal Medical Science Liaison) is a field-facing representative of US Medical Affairs with a primary responsibility of engaging in the exchange of scientific data and other medical and/or scientific information with external customers (Health Care Providers, researchers, professional organization leadership, and population-based decision makers), including top echelon healthcare leadership, in the areas of Eisai's interest. The person in this position will demonstrate a thorough understanding of the customer's needs, issues and priorities as they relate to Eisai's strategic business plan and is able to 'connect the dots' and see the 'big picture' as it relates to the business. The Senior/Principal MSL brings relevant insights from the field on research developments, treatment landscape and new concepts in medical treatment. The incumbent will also identify patterns and trends in KOL mindset and practices across geographies based on insights. The Senior/Principal MSL will assume a leadership role by coaching and mentoring other MSLs and by assuming responsibility for special projects as they arise. The impact that a Sr MSL/Principal MSL will have on the organization includes the following: Communicating key information about Eisai, the company and it's hhc mission, and key scientific/clinical information about Eisai's products, demonstrating a pattern of good judgment, emotional intelligence, business acumen and therapeutic knowledge. Effectively communicating relevant and fair balanced scientific and clinical information on Eisai products, seeking feedback from decision makers and health care practitioners to ensure patients' needs are being met; leveraging a variety of communication channels to serve as a conduit between Eisai and the medical community in order to share ideas about future collaborative research with Eisai products. Bringing relevant insights from the field on research developments, treatment landscape and new concepts in medical treatment. Providing corporate value through demonstrated leadership and participation in strategic thinking Responsibilities: Senior Medical Science Liaison Responsibilities: Act as the primary clinical/scientific resource to HCPs in the territory for information on disease state and Eisai's product(s) to ensure awareness and understanding. Lead assigned professional congresses in accordance with MSL plan by leading congress coverage efforts, including coordination of all MSL activities, as required. Present clinical, scientific and economic data on Eisai's products and relevant therapeutic areas to population-based decision-makers. Lead projects as appropriate. Establish, foster, cultivate and maintain peer relationships with KOLs in the therapeutic areas in which Eisai has current and future interests. Serve as primary contact to external investigators who submit IISs to provide recommendations for site selection and scientific expertise to Investigators involved in company-sponsored post-marketing studies. Provide mentoring, guidance and training to new hires/ less experienced colleagues; assist with supervision/performance evaluation; assume responsibility for special projects. Provide inputs to strategic planning, work processes and escalate any deviations. Principal Medical Science Liaison Responsibilities: Build advocacy leading to a strong franchise and serve as a conduit for accurate and updated clinical, scientific and medical information between KOLs, other investigators and the company's Medical Affairs and R&D groups. Propose strategic solutions to competitive and clinical practice issues that may be uncovered as part of a field insights observation and analysis. Actively participate in executing Eisai's strategy at scientific meetings, coordinate MSL meeting/booth coverage, and proactively facilitate KOL interactions with Eisai stakeholders. Manage complex projects in parallel, often at a National scope by executing activities within a given area of expertise and providing lateral/indirect leadership and strategic direction to MSLs. Provide field perspective and insight into developing new resources and strategies through industry and scientific acumen. Provide inputs to overall development of strategy, budget and resources including talent pool and address deviations. Provide guidance and training to new hires/ less experienced colleagues. Qualifications: Requires an advanced, terminal Doctorate level (D-level) degree in medical or health sciences (e.g. MD, PhD, PharmD, DPH, EdD). For Sr. MSL,1.5-3+ years of experience in the pharma/biotech industry; previous experience as an MSL preferably in Oncology OR a combination of equivalent education and experience. For Principal MSL, 8+ years of overall experience in Oncology with relevant combination industry/ clinical/ research/ academia; at least 5 years as an MSL in Oncology OR a combination of equivalent education and experience. Experience teaching, coaching, and mentoring new hires and/or less experienced MSLs. Knowledge of disease state management in oncology therapeutic areas along with strong broad-based scientific and pharmaceutical knowledge. Presentation skills, teaching skills, and confidence in discussing drug information/ disease state management. Prior experience in clinical research, drug development and/or clinical pharmacy and a basic understanding of commercial operations, including marketing and sales strategies. Proven performance in earlier role. Established relationships with KOLs in Oncology/Hematology preferred. Possesses an understanding of the pharmaceutical corporate environment and appreciation for commercial operations, including marketing and sales strategies. For Principal MSL, must have prior experience designing strategic solutions to competitive and clinical practice issues. Capable of engaging in frequent business travel (approximately 60% of time), including air travel, ability to travel overnight and occasionally on weekends. Domestic and international travel may include spending time at cancer trial sites/institutions, conference center, offices and hotels. Possesses and maintains a valid driver's license. This is a field-based position. The employee is required to set up a home-based office. Salary range for Sr. MSL is $160,100.00 - $210,100 USD Annual Salary range for Principal MSL is $182,200.00 - $239,085 Annual #LI-MI1 As a condition of employment and an essential function of this field-based position, applicants must be able to engage in person with HCPs and other third parties at their offices, institutions and other appropriate locations on a regular basis. In order to gain in-person access, applicants selected for the position may be required to complete third parties' credentialing and/or entry requirements, which often include an attestation to and/or providing proof of having received certain vaccinations, including but not limited to the COVID-19 or flu vaccines. To the extent you are unable to meet certain requirements for qualifying medical (including pregnancy-related) or religious reasons, applicants must request a reasonable accommodation by contacting the Human Resources Department.Skills:Communication & Cross-functional Influence, Critical Thinking & Agility, Healthcare Environment Dynamics, KOL/ HCP Engagement, Medical Data and Insights, Mentoring, Resource Planning & Management, Territory Management (MSL) Eisai Salary Transparency Language: The base salary range for the Senior Medical Science Liaison (Sr. MSL) / Principal Medical Science Liaison (Principal MSL) Oncology - AZ, NM, UT (Open) is from :160,100-210,100 Under current guidelines, this position is eligible to participate in : Eisai Inc. Annual Incentive Plan & Eisai Inc. Long Term Incentive Plan. Final pay determinations will depend on various factors including but not limited to experience level, education, knowledge, and skills. Employees are eligible to participate in Company employee benefit programs. For additional information on Company employee benefits programs, visit https://us.eisai.com/careers-at-eisai/benefits . Certain other benefits may be available for this position, please discuss any questions with your recruiter. Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans. Eisai Inc. participates in E-Verify. E-Verify is an Internet based system operated by the Department of Homeland Security in partnership with the Social Security Administration that allows participating employers to electronically verify the employment eligibility of all new hires in the United States. Please click on the following link for more information: Right To Work E-Verify Participation

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai's human health care (hhc) mission. We're a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer's disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you. Summary: The MSL (Senior Medical Science Liaison or Principal Medical Science Liaison) is a field-facing representative of US Medical Affairs with a primary responsibility of engaging in the exchange of scientific data and other medical and/or scientific information with external customers (Health Care Providers, researchers, professional organization leadership, and population-based decision makers), including top echelon healthcare leadership, in the areas of Eisai's interest. The person in this position will demonstrate a thorough understanding of the customer's needs, issues and priorities as they relate to Eisai's strategic business plan and is able to 'connect the dots' and see the 'big picture' as it relates to the business. The Senior/Principal MSL brings relevant insights from the field on research developments, treatment landscape and new concepts in medical treatment. The incumbent will also identify patterns and trends in KOL mindset and practices across geographies based on insights. The Senior/Principal MSL will assume a leadership role by coaching and mentoring other MSLs and by assuming responsibility for special projects as they arise. The impact that a Sr MSL/Principal MSL will have on the organization includes the following: Communicating key information about Eisai, the company and it's hhc mission, and key scientific/clinical information about Eisai's products, demonstrating a pattern of good judgment, emotional intelligence, business acumen and therapeutic knowledge. Effectively communicating relevant and fair balanced scientific and clinical information on Eisai products, seeking feedback from decision makers and health care practitioners to ensure patients' needs are being met; leveraging a variety of communication channels to serve as a conduit between Eisai and the medical community in order to share ideas about future collaborative research with Eisai products. Bringing relevant insights from the field on research developments, treatment landscape and new concepts in medical treatment. Providing corporate value through demonstrated leadership and participation in strategic thinking Responsibilities: Senior Medical Science Liaison Responsibilities: Act as the primary clinical/scientific resource to HCPs in the territory for information on disease state and Eisai's product(s) to ensure awareness and understanding. Lead assigned professional congresses in accordance with MSL plan by leading congress coverage efforts, including coordination of all MSL activities, as required. Present clinical, scientific and economic data on Eisai's products and relevant therapeutic areas to population-based decision-makers. Lead projects as appropriate. Establish, foster, cultivate and maintain peer relationships with KOLs in the therapeutic areas in which Eisai has current and future interests. Serve as primary contact to external investigators who submit IISs to provide recommendations for site selection and scientific expertise to Investigators involved in company-sponsored post-marketing studies. Provide mentoring, guidance and training to new hires/ less experienced colleagues; assist with supervision/performance evaluation; assume responsibility for special projects. Provide inputs to strategic planning, work processes and escalate any deviations. Principal Medical Science Liaison Responsibilities: Build advocacy leading to a strong franchise and serve as a conduit for accurate and updated clinical, scientific and medical information between KOLs, other investigators and the company's Medical Affairs and R&D groups. Propose strategic solutions to competitive and clinical practice issues that may be uncovered as part of a field insights observation and analysis. Actively participate in executing Eisai's strategy at scientific meetings, coordinate MSL meeting/booth coverage, and proactively facilitate KOL interactions with Eisai stakeholders. Manage complex projects in parallel, often at a National scope by executing activities within a given area of expertise and providing lateral/indirect leadership and strategic direction to MSLs. Provide field perspective and insight into developing new resources and strategies through industry and scientific acumen. Provide inputs to overall development of strategy, budget and resources including talent pool and address deviations. Provide guidance and training to new hires/ less experienced colleagues. Qualifications: Requires an advanced, terminal Doctorate level (D-level) degree in medical or health sciences (e.g. MD, PhD, PharmD, DPH, EdD). For Sr. MSL,1.5-3+ years of experience in the pharma/biotech industry; previous experience as an MSL preferably in Oncology OR a combination of equivalent education and experience. For Principal MSL, 8+ years of overall experience in Oncology with relevant combination industry/ clinical/ research/ academia; at least 5 years as an MSL in Oncology OR a combination of equivalent education and experience. Experience teaching, coaching, and mentoring new hires and/or less experienced MSLs. Knowledge of disease state management in oncology therapeutic areas along with strong broad-based scientific and pharmaceutical knowledge. Presentation skills, teaching skills, and confidence in discussing drug information/ disease state management. Prior experience in clinical research, drug development and/or clinical pharmacy and a basic understanding of commercial operations, including marketing and sales strategies. Proven performance in earlier role. Established relationships with KOLs in Oncology/Hematology preferred. Possesses an understanding of the pharmaceutical corporate environment and appreciation for commercial operations, including marketing and sales strategies. For Principal MSL, must have prior experience designing strategic solutions to competitive and clinical practice issues. Capable of engaging in frequent business travel (approximately 60% of time), including air travel, ability to travel overnight and occasionally on weekends. Domestic and international travel may include spending time at cancer trial sites/institutions, conference center, offices and hotels. Possesses and maintains a valid driver's license. This is a field-based position. The employee is required to set up a home-based office. Salary range for Sr. MSL is $160,100.00 - $210,100 USD Annual Salary range for Principal MSL is $182,200.00 - $239,085 Annual #LI-MI1 As a condition of employment and an essential function of this field-based position, applicants must be able to engage in person with HCPs and other third parties at their offices, institutions and other appropriate locations on a regular basis. In order to gain in-person access, applicants selected for the position may be required to complete third parties' credentialing and/or entry requirements, which often include an attestation to and/or providing proof of having received certain vaccinations, including but not limited to the COVID-19 or flu vaccines. To the extent you are unable to meet certain requirements for qualifying medical (including pregnancy-related) or religious reasons, applicants must request a reasonable accommodation by contacting the Human Resources Department.Skills:Communication & Cross-functional Influence, Critical Thinking & Agility, Healthcare Environment Dynamics, KOL/ HCP Engagement, Medical Data and Insights, Mentoring, Resource Planning & Management, Territory Management (MSL) Eisai Salary Transparency Language: The base salary range for the Senior Medical Science Liaison (Sr. MSL) / Principal Medical Science Liaison (Principal MSL) Oncology - PA is from :160,100-210,100 Under current guidelines, this position is eligible to participate in : Eisai Inc. Annual Incentive Plan & Eisai Inc. Long Term Incentive Plan. Final pay determinations will depend on various factors including but not limited to experience level, education, knowledge, and skills. Employees are eligible to participate in Company employee benefit programs. For additional information on Company employee benefits programs, visit https://us.eisai.com/careers-at-eisai/benefits . Certain other benefits may be available for this position, please discuss any questions with your recruiter. Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans. Eisai Inc. participates in E-Verify. E-Verify is an Internet based system operated by the Department of Homeland Security in partnership with the Social Security Administration that allows participating employers to electronically verify the employment eligibility of all new hires in the United States. Please click on the following link for more information: Right To Work E-Verify Participation

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai's human health care (hhc) mission. We're a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer's disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you. Summary: The MSL (Senior Medical Science Liaison or Principal Medical Science Liaison) is a field-facing representative of US Medical Affairs with a primary responsibility of engaging in the exchange of scientific data and other medical and/or scientific information with external customers (Health Care Providers, researchers, professional organization leadership, and population-based decision makers), including top echelon healthcare leadership, in the areas of Eisai's interest. The person in this position will demonstrate a thorough understanding of the customer's needs, issues and priorities as they relate to Eisai's strategic business plan and is able to 'connect the dots' and see the 'big picture' as it relates to the business. The Senior/Principal MSL brings relevant insights from the field on research developments, treatment landscape and new concepts in medical treatment. The incumbent will also identify patterns and trends in KOL mindset and practices across geographies based on insights. The Senior/Principal MSL will assume a leadership role by coaching and mentoring other MSLs and by assuming responsibility for special projects as they arise. The impact that a Sr MSL/Principal MSL will have on the organization includes the following: Communicating key information about Eisai, the company and it's hhc mission, and key scientific/clinical information about Eisai's products, demonstrating a pattern of good judgment, emotional intelligence, business acumen and therapeutic knowledge. Effectively communicating relevant and fair balanced scientific and clinical information on Eisai products, seeking feedback from decision makers and health care practitioners to ensure patients' needs are being met; leveraging a variety of communication channels to serve as a conduit between Eisai and the medical community in order to share ideas about future collaborative research with Eisai products. Bringing relevant insights from the field on research developments, treatment landscape and new concepts in medical treatment. Providing corporate value through demonstrated leadership and participation in strategic thinking Responsibilities: Senior Medical Science Liaison Responsibilities: Act as the primary clinical/scientific resource to HCPs in the territory for information on disease state and Eisai's product(s) to ensure awareness and understanding. Lead assigned professional congresses in accordance with MSL plan by leading congress coverage efforts, including coordination of all MSL activities, as required. Present clinical, scientific and economic data on Eisai's products and relevant therapeutic areas to population-based decision-makers. Lead projects as appropriate. Establish, foster, cultivate and maintain peer relationships with KOLs in the therapeutic areas in which Eisai has current and future interests. Serve as primary contact to external investigators who submit IISs to provide recommendations for site selection and scientific expertise to Investigators involved in company-sponsored post-marketing studies. Provide mentoring, guidance and training to new hires/ less experienced colleagues; assist with supervision/performance evaluation; assume responsibility for special projects. Provide inputs to strategic planning, work processes and escalate any deviations. Principal Medical Science Liaison Responsibilities: Build advocacy leading to a strong franchise and serve as a conduit for accurate and updated clinical, scientific and medical information between KOLs, other investigators and the company's Medical Affairs and R&D groups. Propose strategic solutions to competitive and clinical practice issues that may be uncovered as part of a field insights observation and analysis. Actively participate in executing Eisai's strategy at scientific meetings, coordinate MSL meeting/booth coverage, and proactively facilitate KOL interactions with Eisai stakeholders. Manage complex projects in parallel, often at a National scope by executing activities within a given area of expertise and providing lateral/indirect leadership and strategic direction to MSLs. Provide field perspective and insight into developing new resources and strategies through industry and scientific acumen. Provide inputs to overall development of strategy, budget and resources including talent pool and address deviations. Provide guidance and training to new hires/ less experienced colleagues. Qualifications: Requires an advanced, terminal Doctorate level (D-level) degree in medical or health sciences (e.g. MD, PhD, PharmD, DPH, EdD). For Sr. MSL,1.5-3+ years of experience in the pharma/biotech industry; previous experience as an MSL preferably in Oncology OR a combination of equivalent education and experience. For Principal MSL, 8+ years of overall experience in Oncology with relevant combination industry/ clinical/ research/ academia; at least 5 years as an MSL in Oncology OR a combination of equivalent education and experience. Experience teaching, coaching, and mentoring new hires and/or less experienced MSLs. Knowledge of disease state management in oncology therapeutic areas along with strong broad-based scientific and pharmaceutical knowledge. Presentation skills, teaching skills, and confidence in discussing drug information/ disease state management. Prior experience in clinical research, drug development and/or clinical pharmacy and a basic understanding of commercial operations, including marketing and sales strategies. Proven performance in earlier role. Established relationships with KOLs in Oncology/Hematology preferred. Possesses an understanding of the pharmaceutical corporate environment and appreciation for commercial operations, including marketing and sales strategies. For Principal MSL, must have prior experience designing strategic solutions to competitive and clinical practice issues. Capable of engaging in frequent business travel (approximately 60% of time), including air travel, ability to travel overnight and occasionally on weekends. Domestic and international travel may include spending time at cancer trial sites/institutions, conference center, offices and hotels. Possesses and maintains a valid driver's license. This is a field-based position. The employee is required to set up a home-based office. Salary range for Sr. MSL is $160,100.00 - $210,100 USD Annual Salary range for Principal MSL is $182,200.00 - $239,085 Annual #LI-MI1 As a condition of employment and an essential function of this field-based position, applicants must be able to engage in person with HCPs and other third parties at their offices, institutions and other appropriate locations on a regular basis. In order to gain in-person access, applicants selected for the position may be required to complete third parties' credentialing and/or entry requirements, which often include an attestation to and/or providing proof of having received certain vaccinations, including but not limited to the COVID-19 or flu vaccines. To the extent you are unable to meet certain requirements for qualifying medical (including pregnancy-related) or religious reasons, applicants must request a reasonable accommodation by contacting the Human Resources Department.Skills:Communication & Cross-functional Influence, Critical Thinking & Agility, Healthcare Environment Dynamics, KOL/ HCP Engagement, Medical Data and Insights, Mentoring, Resource Planning & Management, Territory Management (MSL) Eisai Salary Transparency Language: The base salary range for the Senior Medical Science Liaison (Sr. MSL) / Principal Medical Science Liaison (Principal MSL) Oncology - Massachusetts, New Hampshire and Maine is from :160,100-210,100 Under current guidelines, this position is eligible to participate in : Eisai Inc. Annual Incentive Plan & Eisai Inc. Long Term Incentive Plan. Final pay determinations will depend on various factors including but not limited to experience level, education, knowledge, and skills. Employees are eligible to participate in Company employee benefit programs. For additional information on Company employee benefits programs, visit https://us.eisai.com/careers-at-eisai/benefits . Certain other benefits may be available for this position, please discuss any questions with your recruiter. Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans. Eisai Inc. participates in E-Verify. E-Verify is an Internet based system operated by the Department of Homeland Security in partnership with the Social Security Administration that allows participating employers to electronically verify the employment eligibility of all new hires in the United States. Please click on the following link for more information: Right To Work E-Verify Participation