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🚀 About Lila Sciences Lila Sciences is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method. We are introducing scientific superintelligence to solve humankind's greatest challenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at www.lila.ai At Lila, we are uniquely cross-functional and collaborative. We are actively reimagining the way teams work together and communicate. Therefore, we seek individuals with an inclusive mindset and a diversity of thought. Our teams thrive in unstructured and creative environments. All voices are heard because we know that experience comes in many forms, skills are transferable, and passion goes a long way. If this sounds like an environment you’d love to work in, even if you only have some of the experience listed below, please apply. 🌟 Your Impact at Lila Lila Sciences is seeking a Director of Data Science to join our Life Science Research department and serve as a strategic, hands-on leader supporting teams of wetlab biologists, AI researchers, and automation engineers. In this role, your primary responsibility will be for enabling the construction of Lila’s Scientific Superintelligence platform through leadership in statistical methods, experiment design, establishment of best practices for wetlab-drylab integration, and bioinformatic/cheminformatic data engineering. You will recruit and manage a group of data scientists and engineers that work hand in hand with wetlab-based scientists and engineers. You will be accountable for delivering robust, productionized methods for performing molecular design and studying new biology within Lila’s platform. 🛠️ What You'll Be Building Establish, lead, build, and mentor a group of data science and bioinformatics scientists and engineers dedicated to integration with wetlab-based scientists and engineers Companywide leadership in statistical methods for biological experiment design and analysis Establishment of best practices for wetlab-drylab integration Leadership of bioinformatic and cheminformatic data engineering 🧰 What You’ll Need to Succeed 10+ years of experience in bioinformatics and/or biological data science Ph.D. or equivalent early career experience in a relevant field 2+ years leading a team as a people manager or program leader Enthusiasm and passion for integrating computational and wetlab scientists Expertise in the application of AI/ML approaches to biomolecule design and/or experimental design Deep technical knowledge of one or more of the following: Protein design, nucleic acid therapeutics design, small molecule drug design, macrocyclic peptide drug design, cell therapy design 🌈 We’re All In Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. 🤝 A Note to Agencies Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.

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.   

Description Position at CFO Services *** DO NOT APPLY! THIS IS A TEST JOB POSTING Data Scientist Job Responsibilities: Coordinates research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data. Experiments against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges. Lead data experiments tasked by the Data Science Team. Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts. Develop and implement statistical models. Work with Machine Learning engineering team to implement model. Analyzes problems and determines root causes. Helps identify company data assets and assists in defining data models. Works closely with all business units and engineering teams to develop strategy for long term data platform architecture. Qualifications / Skills: Machine learning, regression analysis, statistical testing Feature engineering and data cleansing Advanced analytical knowledge of data Conducting big data analysis Data conditioning Programming advanced computing Developing algorithms Developing software and data models Executing predictive analytics Education, Experience, and Licensing Requirements: 5+ years of professional experience Proficient with one or more programming languages (Python, R, Java, C++, etc.) Experience working with TensorFlow, SciKit Learn, NumPy, SciPy Experience working with NLP and BERT Experience implementing deep learning Specific examples using LSTM, RNN, and SVM a plus Git experience and Kubernetes a plus Experience working in AWS or Azure Demonstrated experience applying data science methods Experience implementing agile approach to artificial intelligence algorithm development "Neque porro quisquam est qui dolorem ipsum quia dolor sit amet, consectetur, adipisci velit..."

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.

Overview Black Canyon Consulting (BCC)  is actively looking for Senior Scientific Expert - Biomedical Informatics and Data Science to support the Office of the Director, Division of Extramural Programs (EP), at the National Library of Medicine (NLM).  This opportunity is part time consultant opportunity and offers a hybrid work option.  The Division of Extramural Programs provides policy guidance, program development, evaluation, coordination, and overall operational and administrative management for extramural programs provided by the National Library of Medicine.  Extramural Programs consists of the following organizational units: Office of the Director, Administration, Grants Management, Scientific Review, Program Management, and Committee Management. The Division’s activities have national and international impact on the extramural library and informatics community through grants and contract support of biomedical computing and information projects, including informatics/biomedical informatics research, resource grants (databases, information networks, internet connections, enterprise information systems, including the National Network of Libraries of Medicine), national programs in training for research in bioinformatics and data science, clinical informatics, health informatics, support of conferences, and Small Business Innovative Research grants; also supported are publication grants, primarily in the field of medical history. The Senior Scientific Expert in Biomedical Informatics and Data Science holds independent responsibility for strategic planning and science visioning within the Division of Extramural Programs, encompassing biomedical informatics and data science. Key duties include: Strategic Research Program Planning: Initiates, designs, and updates processes to identify research priorities aligned with NLM and NIH strategic goals. Leads analyses of biomedical informatics policy issues to shape research agendas and influence strategic plans. Conducts and analyzes Requests for Information (RFI) to identify research priorities outlined by scientific stakeholders. Manages portfolio analysis and summarizes grant investments to inform strategic decision-making. Prepares a strategic plan aligned with a ONE-NLM vision. Advisory and Representational Responsibilities: Briefs Division and NLM leadership on scientific research and policy issues, prepares for high-level meetings, and develops strategic briefing materials. Prepares recurring and special documents containing substantive scientific information, fiscal data, and policy options. Qualifications: Advanced degree (Ph.D., M.D., or equivalent) with experience in biomedical informatics, health sciences, social/behavioral sciences, or related fields. Expertise in strategic planning, science visioning, and policy analysis within biomedical informatics or related disciplines. Knowledge of NIH grant funding mechanisms and experience in portfolio analysis. Proven ability to lead complex analyses, influence policy development, and communicate effectively with diverse stakeholders. Experience in managing interdisciplinary projects and collaborating across NLM units and with external partners. Strong analytical skills with proficiency in data interpretation and reporting. Salary We offer a competitive salary commensurate with experience and location. If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!

Blue Yonder Job Title: Sr Director, Data Science Location: US- Remote Blue Yonder is a global leader in digital supply chain and omni-channel commerce fulfillment. We empower businesses to optimize their supply chains with AI-driven insights and innovative solutions. Join us to shape the future of supply chain management! Overview: We are seeking a Senior Director of Data Science to lead and innovate within our data science organization. This role will drive thought leadership, customer engagement, and cutting-edge AI/ML solutions while collaborating with cross-functional teams to deliver measurable business impact. The ideal candidate will have a strong background in data science, supply chain expertise, and a passion for solving complex problems through innovative approaches. What You'll Do: Roadmap Input & New Data Science Approaches (10%) Provide strategic input into the data science roadmap to align with Blue Yonder's long-term goals. Explore and implement new data science methodologies and generative AI techniques to enhance product offerings. Thought Leadership Collateral (20%) Develop whitepapers, case studies, and presentations showcasing Blue Yonder's data science capabilities. Represent Blue Yonder at conferences, webinars, and industry events to establish thought leadership in AI/ML for supply chain management. Sales, Customer Retention & Proof of Concepts (POCs) (40%) Partner with sales teams to demonstrate the value of Blue Yonder's solutions to prospective clients through POCs and technical deep dives. Collaborate with customers to ensure retention by delivering impactful AI/ML-driven insights and solutions tailored to their needs. Act as a trusted advisor for customers, ensuring alignment between their business objectives and our data science strategies. Data Science Projects (30%) Lead the execution of high-impact data science projects from ideation to deployment, ensuring alignment with business objectives. Oversee the development of scalable AI/ML models and prototypes that enhance operational efficiency and decision-making for customers. Mentor and guide a team of data scientists to achieve technical excellence and foster innovation. What we are looking for: Education: Masters Degree in Data Science, Artificial Intelligence, Computer Science, Engineering, or a related field is required. PhD preferred. Experience: Proven experience applying machine learning, deep learning, and data analysis within the supply chain domain. Technical Skills: Hands-on expertise in Generative AI techniques, prototyping, SQL, R, and Python for statistical analysis and programming. Customer-Facing Skills: Strong ability to engage with customers, understand their needs, and deliver tailored solutions that drive business outcomes. Communication: Exceptional written and verbal communication skills to effectively convey complex concepts to diverse audiences. Leadership: Demonstrated ability to lead cross-functional teams and manage multiple high-priority projects simultaneously. #US-REMOTE ------------------------------------------ The salary range for this position is $168,876.00 to $219,124.00 USD The salary range information provided, reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual salary will be commensurate with skills, experience, certifications or licenses and other relevant factors. In addition, this role will be eligible to participate in either the annual performance bonus or commission program, determined by the nature of the position. At Blue Yonder, we care about the wellbeing of our employees and those most important to them. This is reflected in our robust benefits package and options that includes: Comprehensive Medical, Dental and Vision 401K with Matching Flexible Time Off Corporate Fitness Program A variety of voluntary benefits such as; Legal Plans, Accident and Hospital Indemnity, Pet Insurance and much more At Blue Yonder, we are committed to a workplace that genuinely fosters inclusion and belonging in which everyone can share their unique voices and talents in a safe space. We continue to be guided by our core values and are proud of our diverse culture as an equal opportunity employer. We understand that your career search may look different than others, and embrace the professional, personal, educational, and volunteer opportunities through which people gain experience. Our Values If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success - and the success of our customers. Does your heart beat like ours? Find out here: Core Values All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

The Core Data Science team owns a suite of products that provide actionable insights to the on-vehicle software teams. In particular, our scenario search tools are used by teams developing and validating Zoox's on-vehicle AI stack to estimate and analyze event rates at scale, enabling the launch of an autonomous mobility service. Our team also works closely with dedicated Data Science teams to develop key driving behavior metrics and direct new feature development, using large scale data from our autonomous driving fleet and simulations. You are a good fit for our team if you are a software engineer with a propensity for big data analysis, or a data engineer / scientist with an understanding of and enthusiasm for sound software engineering practices. You will join a diverse, experienced team with rapidly growing scope and responsibility while also having access to a uniquely valuable data set in the autonomous vehicle industry. In this role, you will: Collaborate with our software and systems engineering teams to build and support core scenario search capabilities for Zoox Work alongside our data engineering and data science teams to develop and use robust large scale data solutions Identify key areas of investment for our vehicle software teams Establish best practices and processes around data-driven decision-making Qualifications Extensive experience with large-scale data processing frameworks, with preference for Spark or Hadoop Software development experience in a production environment, with preference for Scala, Python, or Java; or demonstrated experience learning new programming languages Familiarity with any version control system, with preference for Git Experience designing metrics and building mechanisms that deliver robust, actionable insights Good communication and collaboration skills Bonus Qualifications Experience training and deploying ML models to large scale production use cases Basic familiarity with C++ Experience with geospatial data analysis Familiarity with or exposure to experimentation platforms Basic familiarity with any autonomous vehicle competency, e.g. perception, localization, prediction, planning, or controls Compensation: There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $192,000 to $273,000. A sign-on bonus may be offered as part of the compensation package. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

Primary Office Location: 626 Washington Place. Pittsburgh, Pennsylvania. 15219. Join our team. Make a difference - for us and for your future. Position Title: Director of Data Science Business Unit: Marketing Reports to: Chief Marketing Officer P osition Overview: Hands-on leadership position (player/coach) responsible for supporting various internal customers by analyzing complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques. In addition to advanced analytical and modeling skills, this role is also proficient at integrating and preparing large, varied datasets and communicating results. Works closely with internal clients and other IT teams to turn data into critical information and knowledge that can be used to make sound organizational decisions. Primary Responsibilities: Set the department strategy and manage a team of Data Scientists focused on marketing, credit, regulatory and risk management: planning department workflow, assigning tasks, training and performance reviews. Develops and applies expertise in areas such as machine learning, optimization, data mining, statistical and mathematical analysis. Performs undirected research and tackles open-ended problems and questions, as well as develops and tests algorithms to aid in analysis of such problems and questions. Conducts statistical analysis and communicates results to relevant parties, authors reports containing actionable recommendations based on employed techniques, educates and trains others regarding quantitative techniques, sampling techniques and analytical methods and evaluates sources of information in order to determine any limitations in terms of reliability or usability. Works in a cross-function capacity to identify opportunities to enhance analytics in key business units throughout the Bank. Participates in the development of the Bank's analytics framework and data culture. Advises internal customers regarding the appropriateness of available quantitative methods to solve business and research problems. Manipulates and analyzes complex data gathered from multiple, structured and unstructured data sources. Identifies specific areas of weakness in data mining and interpretation processes and recommends appropriate methods to improve organizational understanding and analysis. Evaluates and recommends third party statistical software and programs for use within the company as deemed necessary to accommodate the unique needs of end users. Plans and executes data collection methods for specific projects and determines the types and sizes of sample groups to be used. Provide guidance on data sourcing and storage. Provide thought leadership on all things data science including technologies, services and processes. Supports predictive modeling needs, including development, production, maintenance and documentation of results and methodologies. Provides on-going tracking and monitoring of performance of decision systems and statistical models. Performs other related duties and projects as assigned. All employees have the responsibility and the accountability to serve as risk managers for their businesses by understanding, reporting, responding to, managing and monitoring the risk they encounter daily as required by F.N.B. Corporation's risk management program. F.N.B. Corporation is committed to achieving superior levels of compliance by adhering to regulatory laws and guidelines. Compliance with regulatory laws and company procedures is a required component of all position descriptions. Minimum Level of Education Required to Perform the Primary Responsibilities of this Position: MA or MS Minimum#### of Years of Job Related Experience Required to Perform the Primary Responsibilities of this Position: 7 Skills Required to Perform the Primary Responsibilities of this Position: Excellent project management skills Excellent communication skills, both written and verbal Excellent organizational, analytical and interpersonal skills Excellent customer service skills Ability to use a personal computer and job-related software MS Word- Intermediate Level MS Excel- Intermediate Level MS PowerPoint- Intermediate Level Proficient with LaTeX, SAS, R, Python, Scala, Statistical Learning and Machine Learning, relational and non-relational databases and Big Data technologies Expert in statistics and predictive modeling Licensures/Certifications Required to Perform the Primary Responsibilities of this Position: N/A Physical Requirements or Work Conditions Beyond Traditional Office Work: N/A Equal Employment Opportunity (EEO): It is the policy of F.N.B. Corporation (FNB) and its affiliates not to discriminate against any employee or applicant for employment because of age, race, color, religion, sex, national origin, disability, veteran status or any other category protected by law. It is also the policy of FNB and its affiliates to employ and advance in employment all persons regardless of their status as individuals with disabilities or veterans, and to base all employment decisions only on valid job requirements. FNB provides all applicants and employees a discrimination and harassment free workplace.

About CookUnity Food has lost its soul to modern convenience. And with it, has lost the power to nourish, inspire, and connect us. So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs. Today, CookUnity delivers 35 million meals a year from the industry's best chefs to homes all over the country. Fresh. Ready-to-eat. And crafted with the passion that nourishes body and soul. Unwilling to stop there, CookUnity is expanding beyond delivery to become an ever-innovating marketplace focused on our singular mission: empower Chefs to nourish the world. If that mission has you hungry in more ways than one, you've found the right job posting. About the Role Managers at CookUnity partner with other leaders across the organization to build teams, develop individuals, and bring analytical excellence to help drive the iterative product lifecycle. They're also experts in their areas, using their knowledge and experience to create the space for others to succeed whilst maintaining 70/30 hands-on to contribute directly to our learning and growth. They embed within teams they support, achieving a marriage of minds with their stakeholders and an integration of objectives and workflows of. They work across the team with business, product, and marketing managers, to create data about user behaviors, discover unmet needs, set metrics that measure performance, and design & execute experiments to generate learnings and evidence their success. Where needed, they leverage machine learning methods as the basis of even deeper insights, uncovering patterns in user behavior that the human mind simply cannot process (e.g. through unsupervised learning). We're looking for a Manager, Growth Data Science & Analytics, with a focus on growth, eater activation, and resurrection to join our team. As a result of your guidance and strategic direction, you'll help advance our Growth team's capabilities, applying scientific rigor to inform, strategize, and optimize our already steep growth trajectory. What you'll do Lead and mentor a high-performing team of Marketing analysts, fostering their professional development, collaboration, and analytical expertise Conduct in-depth analysis of marketing data from diverse sources, including digital, offline, social media, CRM, and brand, to identify actionable insights and trends Develop and implement sophisticated statistical models and forecasting techniques to evaluate marketing performance, predict outcomes, and optimize marketing investments Collaborate closely with Marketing partners on leveraging advanced analytics solutions, including MMM, MTA, and LTV optimization, ensuring data-driven decision-making across marketing initiatives Communicate complex insights clearly and persuasively to senior leadership, providing data-driven recommendations to improve business performance and collaborating with Marketing leads to develop growth strategies Core Competencies Experience developing and working with marketing measurement solutions, including MMM and MTA models, causal inference, forecasting, LTV, churn, and segmentation Experience across Brand and Performance Marketing measurement High autonomy in partnering with non-technical stakeholders with strong communication skills at various levels High autonomy in executing to produce insights using data with expert proficiency in SQL, Python/R, and Tableau/Looker High agency and growth mindset Year of experience 5+ years of experience in Marketing Analytics managing complex analytics projects At least 2 years managing teams of analysts and data scientists At least 2 years in a growth team (in any capacity) Benefits Health Insurance coverage 401k Plan We grow, you grow: Stock Options Plan granted on Day 1 Eligible for a bi-annual performance bonus Unlimited PTO ️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical Family leave: 12 weeks for primary caregiver and 6 weeks for secondary caregiver, fully paid Compassionate Leave: 3-5 days each time the need arises A generous amount of CookUnity credits to enjoy our amazing meals, added to your account, monthly ️ Wellness perks: access to a nutritional coach and fitness subsidies to build a healthy lifestyle Personalized Spanish coach Awesome opportunity to join a company that is looking to change how we eat and how chefs work! Compensation All final pay rates will be determined by candidates experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data. Pay Range for this position $190,000-$200,000 USD If you're interested in this role, please submit your application and if we think you might be a fit, we'll get in touch with you. Thank you for your time! CookUnity is an Equal Opportunity Employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.

Assistant Professor Data Science-Mathematical Sciences Non-Tenure Track Montana Technological University provides a comprehensive benefits package for all eligible positions that includes health, dental and vision insurance, mandatory retirement plan with employer contribution, partial tuition waiver, and a wellness program. The University is NOT able to support Visa applications for this position. Applicants must already be eligible to work and have the ability to arrive in the United States without the University's support to be considered for this position. Applications received by March 16, 2025 will be guaranteed full review and consideration. Applications received after that date may be considered until an adequate applicant pool has been established. The Department of Mathematical Sciences at Montana Tech is pleased to announce an opening for an Assistant Professor (non-Tenure track) with Data Science expertise and/or research interests. This position is contingent on funding. Montana Technological University, a regionally accredited college in the heart of the Rocky Mountains, primarily offers degrees in the sciences and engineering. The Mathematical Sciences Department offers undergraduate majors in Mathematics (with options in applied mathematics and statistics) and Data Science. The normal teaching load for this position is 3-6 credits per semester with a maximum of 9 credits per year. The primary responsibilities will include conducting research with members of the INBRE network and running professional development workshops related to Data Science techniques. Additional responsibilities could include, but are not limited to, advising Data Science majors, overseeing capstone projects, and designing courses and curriculum for the Data Science program. Duties: The normal teaching load is 3-6 credits per semester with a maximum of 9 credits per year. The primary responsibilities will include conducting research with members of the INBRE network and running professional development workshops related to Data Science techniques. Additional responsibilities could include, but are not limited to, advising Data Science majors, overseeing capstone projects, and designing courses and curriculum for the Data Science program. Required Qualifications: PhD in Data Science, Mathematics, Statistics or related field awarded by start date Demonstrated research expertise in data science areas such as: Machine/deep learning, big data mining and analytics, topological data analysis, data driven modeling and prediction, rich media data processing, database systems for analytics, quantitative social science, statistical learning, etc. Effective oral and written communication skills Ability to teach courses using Python and R Preferred Qualifications: Previous teaching experience at the college level in mathematics, statistics, and/or Data Science Experience working with health related data You are required to upload the following documents in your application: One page statement of current research interests List of courses taught in the past three years Copies of graduate transcripts, unofficial transcripts are acceptable. For full consideration application materials must be complete. Please include: Cover letter addressing qualifications, Resume Contact information for 3 professional references. One page statement of current research interests List of courses taught in the past three years Copies of graduate transcripts, unofficial transcripts are acceptable. For full consideration application materials must be complete. Any offer of employment is contingent upon a satisfactory criminal background check. Montana Tech is committed to providing a working and learning environment free from discrimination. As such, the University does not discriminate in the admission, access to or conduct of its educational programs and activities nor in its employment policies and practices on the basis of race, color, religion, national origin, ethnicity, creed, service in the uniformed services (as defined in state and federal law), veteran status, gender, age, political beliefs, marital or family status, pregnancy, physical or mental disability, genetic information, gender identity, gender expression, or sexual orientation or preference. In support of the University's mission to be inclusive and diverse, applications from qualified minorities, women, veterans and persons with disabilities are highly encouraged. Montana Tech makes accommodation for any known disability that may interfere with an applicant's ability to compete in the hiring process or an employee's ability to perform the duties of the job. In compliance with the Montana Veteran's Employment Preference Act, Montana Tech provides preference in employment to veterans, disabled veterans, and certain eligible relatives of veterans. To claim veteran's preference please complete the employment (veteran's) preference form located on the employment page and email to humanresources@mtech.edu. You must include the job title of the position in which you are applying. Employment (veteran's) preference form To request an accommodation for the application or interview, please contact Cathy Isakson 406-496-4380; cisakson@mtech.edu Why Work at Tech? Help meet the changing needs of society by providing a transformative student experience by helping develop leaders for tomorrow by advancing science, engineering and technology. In addition, Montana Tech offers an attractive benefits package* which includes: Medical, Dental, and Vision Insurance with low deductibles and comprehensive coverage. Generous employer contribution toward monthly health care benefits worth $6.08 per hour. 5.9% retirement employer contribution for eligible employees 11 Holidays per year 3 weeks of Annual Leave to start Generous sick leave policy that can be used for sick children, doctor and dentist appointments as well as bereavement. 6 credits of coursework free per year (fees not included) Life and Disability Insurance Reduced tuition for dependents after 4 months of employment for eligible employees Employee Assistance and a Wellness Program Optional Retirement Plan for eligible employees Possible remote work days with supervisor approval and eligible positions. Benefits are dependent on position type and terms and conditions of eligibility. Montana Technological University, Butte Montana, is nestled in the Heart of the Rocky Mountains along the Continental Divide, where I-15 and I-90 intersect. We are home to the largest National Historic District in the country. Montana Tech is a special focus institution with a reputation for excellence and value. Montana Tech is ranked #1 in the nation by CollegeNET.

About Sony Music Entertainment At Sony Music Entertainment, we fuel the creative journey. We've played a pioneering role in music history, from the first-ever music label to the invention of the flat disc record. We've nurtured some of music's most iconic artists and produced some of the most influential recordings of all time. Today, we work in more than 70 countries, supporting a diverse roster of international superstars, developing and independent artists, and visionary creators. From our position at the intersection of music, entertainment, and technology, we bring imagination and expertise to the newest products and platforms, embrace new business models, employ breakthrough tools, and provide powerful insights that help our artists push creative boundaries and reach new audiences. In everything we do, we're committed to artistic integrity, transparency, and entrepreneurship. Sony Music Entertainment is a member of the Sony family of global companies. Sony Music Entertainment (SME) is seeking a Director of Data Science to join the Data Science & Analytics team. As a member of this team, you will provide business-focused machine learning and experimentation tools and services to our teammates throughout Sony Music. In this role, you will be at the forefront of SME's efforts to combat streaming fraud. You will develop and implement advanced strategies to detect and prevent fraudulent activities, leveraging your expertise in machine learning and anomaly detection. We are looking for a candidate who is passionate about music and technology and has a strong background in data science. What you'll do: Lead and develop SME's global content protection program to prevent streaming fraud. Coordinate with commercial partners, vendors, and industry bodies to implement best practice solutions for tackling fraud and intellectual property-related issues. Evaluate and research technologies incorporating machine learning, artificial intelligence, and automated content recognition. Research and develop predictive models, statistical methods, and machine learning algorithms to solve business problems. Prepare and analyze large datasets to identify patterns, trends, and insights to inform business decisions. Communicate effectively with cross-functional teams, including creative, business, legal, and engineering-focused teammates, to support business objectives. Deliver actionable insights to stakeholders and senior leadership to support decision-making processes. Who you are: Must possess B.S. in Computer Science, Mathematics, or related field. A master's degree is preferred. Minimum of 5+ years of experience working in machine learning, data analysis, or a related field. Proven experience in fraud detection. Knowledgeable about artificial intelligence. Proficiency in modern programming languages such as Python and Java. Possess strong analytical and problem-solving skills. Maintain a positive outlook and eagerness to tackle complex challenges What we give you: You join an inclusive, collaborative and global community where you have the opportunity to channel your passion every day A modern office environment designed to foster productivity, creativity, and teamwork empowering you to bring your best An attractive and comprehensive benefits package including medical, dental, vision, life & disability coverage, and 401K + employer matching Voluntary benefits like company-paid identity theft protection and resources for pets, mental health and meditation resources, industry-leading fertility coverage, fully paid leave for childbirth or bonding, fully paid leave for caregivers, programs for loved ones with developmental disabilities and neurodiversity, subsidized back-up child and elder care, and reimbursement for adoption, surrogacy, tuition, and student loans Investment in your professional growth and development enabling you to thrive in our vibrant community. The space to accelerate progress, positively disrupt, and create what happens next Time off for a winter recess Sony Music is committed to providing equal employment opportunity for all persons regardless of age, disability, national origin, race, color, religion, sex, sexual orientation, gender, gender identity or expression, pregnancy, veteran or military status, marital and civil partnership/union status, alienage or citizenship status, creed, genetic information or any other status protected by applicable federal, state, or local law.

Job Description WhoWe Are: Night Market's, the commerce affiliate of Horizon Media, is a technology driven organization that helps advertisers gain a better understanding of the changing eCommerce landscape and ignite innovation around ways to plan, manage, and optimize eCommerce media, providing data-driven insights that inform brands' entire eCommerce strategy to drive desired business outcomes. Our end-to-end optimization platform, NEON, uses an ensemble of advanced models to provide macro (budget rebalancing across channel-tactic level) and micro (in-tactic detailed maximization using proprietary methods) optimizations to holistically improve performance. This fulltime opportunity is for a talented data scientist to work on client-related services in the area of creative experience analytics, eventually transitioning these capabilities into the NEON product. Job Summary: Prior experience working at a marketing agency and/or a consulting firm on a marketing data science, advanced analytics development, and/or user behavior or engagement team is required. Role will require editing and creation of smart models for client deliverables and within the NEON platform. In this role, the candidate will work with other Commerce Experience (CX) and NEON team members across client success, engineering, product, and data engineering. Role will require hands-on programming skills. The projects this position will work on include (but are not limited to) a range of creative artificial intelligence (AI) use cases such as: creative trend projection, multivariate creative and A/B testing, creative copy optimization, conversion rate optimization, creative asset management/versioning, image/video classification and object detection, custom audience segmentation, predictive scoring using categorical or labelled datasets, and targeting strategies. This level of the position and the rate for this position will be commensurate with experience. What You'll Do / Responsibilities Create and elevate current analytics methodology, build a replicable statistical framework, within the constructs of a composable analytics framework and the NEON platform Model outputs and inputs, working with the Data Engineering team to assure data processes are automated and efficient Work alongside product leads, business leads, data scientists, data engineers, front-end developers, and designers Incorporate multiple 3rd party APIs & other datasets from different sources, into one (or more) custom-developed measurement and display systems. Demonstrated ability to extract business insights from large datasets and use them to drive business change Mine, aggregate and analyze data from databases to drive optimization and improvement Familiarity of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, computer vision techniques, etc.) and their real-world advantages/drawbacks. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. Help build and validate requirements and use cases between the core NEON team and the CX team. Evaluate external AI solutions for their modeling and predictive strength, that may be pertinent to the CX use cases to complement NEON featureset in addition to ones being built in the ensemble of models. Who You Are: At least 7 years experience in Machine Learning client analytics role Experience in working with client services teams and communicating technical findings directly with client technical team members. Domain expertise in the area of creative analytics and creative and/or conversion rate optimization strategies Deep expertise in Python (and libraries), R, SQL Ability to operate in Snowflake, AWS infrastructure of S3/EC2, etc Proven experience to interact in a collaborative fashion with Product Management from analytic conceptualization, through hands on exploratory data analysis (EDA), piloting and production rollout within performant backend APIs Independently motivated to conceptualize and execute proactive client analysis Existing skill sets in machine learning, computer vision and product development Communication skills and an ability to collaborate with clients Hold an undergraduate degree in math, statistics, computer science or other technical degree Superb problem synthesis and communication skills Keen attention to detail and data integrity The statements herein are intended to describe the general nature and level of work being performed by employees and are not to be construed as an exhaustive list of responsibilities, duties and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of the employer. #LI-HYBRID #LI-KG1 #HMNM Horizon Media is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Salary Range $170,000.00 - $200,000.00 A successful applicant's actual base salary may vary based on factors such as individual's skill sets, experience, training, education, licensure/certifications, and qualifications for the role. As an organization, we take an aptitude and competency-based hiring approach. We provide a competitive total rewards package including a discretionary bonus and a variety of benefits including health insurance coverage, life and disability insurance, retirement savings plans, company paid holidays and unlimited paid time off (PTO), mental health and wellness resources, pet insurance, childcare resources, identity theft insurance, fertility assistance programs, and fitness reimbursement.

Job Description Job Summary Advance Auto Parts is seeking a strategic and visionary Director of Data Science to lead and scale our Data Science practice. In this high-impact leadership role, you will drive data-driven decision-making across the organization, unlock new business opportunities, and deliver measurable value by leveraging advanced analytics, machine learning, AI and Gen AI. Reporting directly to the Chief Data and Analytics Officer (CDAO), you will play a critical role in shaping the company's data strategy, fostering innovation, and ensuring our data science initiatives align with broader business objectives. The ideal candidate is an experienced leader with a deep understanding of data science methodologies, a proven track record of building and leading high-performing teams, and the ability to collaborate effectively across technical and non-technical stakeholders. This position is part of a Hybrid work arrangement requiring four days a week in-office at the Advance Auto Parts headquarters in Raleigh, NC. Essential Duties and Responsibilities include the following; other duties may be assigned: Leadership & Strategy Build, lead, and mentor a high-performing Data Science team, fostering a culture of innovation, collaboration, and continuous learning. Define and execute the strategic vision for the Data Science practice, aligning with the company's overall data and analytics strategy and business goals. Act as a thought leader and advisor to the Chief Data and Analytics Officer, senior leadership, and cross-functional teams on opportunities to leverage data science to drive business value. Stay abreast of emerging trends, technologies, and best practices in data science, machine learning, and AI, and identify opportunities for their adoption at Advance Auto Parts. Data Science Practice Development Develop and implement scalable data science frameworks, tools, and methodologies to deliver predictive and prescriptive insights. Lead the design, development, and deployment of machine learning models and AI solutions to solve complex business problems, such as demand forecasting, pricing optimization, labor forecast engine, and supply chain network optimization. Establish best practices for model development, validation, deployment, and monitoring to ensure robustness, scalability, and business impact. Advocate for data-driven decision-making across the organization by translating complex analytics into actionable insights and storytelling. Collaboration & Stakeholder Engagement Partner closely with cross-functional teams, including IT, Product Management, Field, Merchandising, supply chain, and finance, to identify high-impact use cases and prioritize data science initiatives. Work with data engineering and analytics teams to ensure the availability of clean, reliable, and scalable data pipelines and infrastructure. Foster strong relationships with business leaders to ensure alignment between data science initiatives and organizational objectives. Operational Excellence Establish KPIs and metrics to measure the success and ROI of data science projects and initiatives. Ensure compliance with data privacy, security, and ethical standards when designing and deploying machine learning models. Identify and mitigate risks associated with data science projects and the use of AI technologies. QUALIFICATIONS: Skills Deep expertise in statistical modeling, machine learning, and artificial intelligence techniques, as well as hands-on experience with tools and frameworks such as Python, R, TensorFlow, PyTorch, or similar. Strong understanding of data engineering principles Strong understanding of data engineering principles, including ETL pipelines, data warehousing, and cloud platforms such as AWS, Azure, or Google Cloud. Exceptional problem-solving skills, with the ability to break down complex challenges into actionable solutions. Excellent communication and storytelling skills, with the ability to convey technical concepts to non-technical stakeholders and influence decision-making at all levels of the organization. Demonstrated ability to manage competing priorities, navigate ambiguity, and deliver results in a fast-paced environment Leadership Qualities Visionary leadership with a passion for fostering a data-driven culture. Strong team-building skills, with the ability to recruit, develop, and retain top talent in data science. Collaborative mindset and an ability to build strong partnerships across technical and business teams. Commitment to ethical AI practices and responsible use of data, ensuring fairness, transparency, and accountability in all data science initiatives. EDUCATION AND EXPERIENCE REQUIREMENTS: Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field. 10+ years of experience in data science, advanced analytics, or a related field, with at least 4 years in a leadership role. Proven track record of delivering successful data science solutions that drive measurable business outcomes in a fast-paced, complex environment. Experience leading large-scale machine learning and AI initiatives, from ideation to deployment and monitoring. Strong familiarity with retail, e-commerce, or supply chain domains (preferred). California Residents click below for Privacy Notice: https://jobs.advanceautoparts.com/us/en/disclosures

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 Sports Modeling team comprises sports modeling experts and data science technologists, coming together to develop innovative products that deliver incremental value across our Sportsbook platform. As a Senior Data Scientist on the Sports Modeling team, you will develop models and data-driven solutions that enhance the Sportsbook experience for our users. In this role, you will work on implementing advanced sports models, refining data assets, and ensuring seamless integration into applications. What you'll do as a Senior Data Scientist, Hockey Create statistical and machine learning models and integrate them into data science applications. Collect and engineer sports data assets to assist in model development. Implement the sports models and pricing engines in Python. Create automatic tests to ensure model and pricing engine accuracy. Collaborate closely with Trading, Product, Engineering, and QA teams to move projects from ideation to deployment. Test data flows and model integration in a larger business context. Coach and support more junior data scientists within the team. What you'll bring Demonstrated passion for sports and a strong understanding of relevant leagues and their dynamics. A college degree in Statistics, Data Science, Mathematics, Computer Science, Engineering, or another related field. Proficiency in Python, with experience building statistical or machine learning models across various sports. Solid grasp of data science principles, statistical modeling techniques, and object-oriented programming concepts. Familiarity with tools and practices such as Kubernetes, Kafka, version control, and MLOps principles. Self-motivation and eagerness to expand knowledge and understanding of Sportsbook products and related technologies. 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 120,800.00 USD - 151,000.00 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.

Department Booth Advancement: Advancement Services 2 About the Department The University of Chicago Booth School of Business is the second-oldest business school in the U.S. and second to none when it comes to influencing business education and business practices. Since 1898, the school has produced ideas and leaders that shape the world of business. Their rigorous, discipline-based approach to business education transforms students into confident, effective, respected business leaders prepared to face the toughest challenges. Chicago Booth has the finest set of facilities of any business school in the world. Each of the four campuses (two in Chicago, one in London, and one in Hong Kong) reflects the architectural traditions of its environs while offering a state-of-the-art learning environment. Chicago Booth is proud to claim: an unmatched faculty. degree and open enrollment programs offered on three continents. a global body of nearly 56,000 accomplished alumni. strong and growing corporate relationships that provide a wealth of lifelong career opportunities. As part of the world-renowned University of Chicago, Chicago Booth shares the University's core values that shape the distinctive intellectual culture. At Booth, they constantly question and test ideas, and seek proof. This extraordinarily effective approach to business leads to new ideas and innovative solutions. Seven of the Booth faculty members have won Nobel Prizes for these ideas - the first business school to achieve this accomplishment. For more information about the University of Chicago Booth School of Business, please visit: http://www.chicagobooth.edu/ . Job Summary The Senior Associate Director, Analytics and Data Science, leads the Analytics and Data Science teams in delivering insights that drive Chicago Booth's fundraising and alumni engagement strategies. This role manages team performance, prioritizes projects, and supports staff development in coordination with the Director of Analytics and Business Intelligence. The Senior Associate Director also leads staff database training, supports adoption of reporting tools, and ensures alignment with data governance standards through collaboration with Advancement teams and University partners. The Senior Associate Director oversees the development of data products, dashboards, and reports for a wide range of stakeholders, including senior leadership, while maintaining best practices in data delivery and documentation. This position ensures effective internal communication around technology and data changes, promotes cross-campus data collaboration, and identifies opportunities to improve data processes. A strong commitment to data quality, user support, and innovation is essential to the role's success. Responsibilities Provides program leadership for the Analytics and Data Science teams including coaching of team members, and initiation and execution of projects and processes. Supervises, manages, and mentors a team of three full-time staff, strategically identifying daily tasks, projects, and professional development in collaboration with the Director, Analytics and Business Intelligence. Works collaboratively with other members of the Advancement Operations teams, program managers, frontline staff, and senior leaders to implement applicable data delivery strategies. Serves as the lead for staff database training, including the creation of training materials and programs. Works with Data Integrity to develop new data governance protocol and improve existing guidelines to enable enhanced reporting opportunities. Supports and develops data products that support Booth Advancement's fundraising and alumni engagement goals and strategies, including interactive data products, process documentation, reports, and presentations for senior leadership. Stays current on industry trends and practices through associations, professional colleagues, and other sources. Serves as a resource to departments across Chicago Booth, including Admissions, Executive Education, and Research Centers, on matters involving data access and information sharing. Liaise with other senior managers and project leaders in Alumni Relations and Development on technology, reporting, and data delivery initiatives. Identifies opportunities to improve business processes and propose solutions that advance the mission of the department. Ensures compliance with University data governance policies across all tasks and projects. Has a deep understanding of prospect research, prospect management, strategic planning and market research on donors prospects. Provides guidance to research analysts, train staff members on fundraising, report writing, and research. Performs other related work as needed. Minimum Qualifications Education: Minimum requirements include a college or university degree in related field. Work Experience: Minimum requirements include knowledge and skills developed through 5-7 years of work experience in a related job discipline. Certifications: -- Preferred Qualifications Education: Bachelor's degree. Experience: Minimum five years of experience in a fundraising or non-profit environment, with at least five years of experience analyzing and synthesizing data to produce clear, actionable reports and presentations. Previous management experience, including direct supervision of staff. At least two years of management experience. Technical Skills or Knowledge: Proficient with fundraising databases such as Salesforce. Demonstrated skill and knowledge of, or ability to learn quickly, the internal workings of the University as well as the technology tools available to the Office of Alumni Relations and Development, including the University's alumni database. Proficient in Microsoft Windows computer environment, Microsoft Outlook, Word, Excel, PowerPoint and Access. Proficiency with Tableau or similar data visualization software. Knowledge of SAP Business Objects or Structured Query Language. Awareness and interest in emerging techniques in machine learning and Big Data. Preferred Competencies Support multiple projects simultaneously, set priorities, and meet deadlines. Excellent analytical and quantitative skills, including interpret information and translate findings to stakeholders. Excellent database skills, achieve expert status on standard and proprietary databases, and flexibility in working with new programs in an emerging and changing environment. Superior verbal and written communication skills and demonstrated ability to articulate complex ideas clearly, accurately, and concisely. Knowledge of current trends in fundraising and alumni relations, including benchmarking and metrics. Strong attention to detail and strong commitment to customer service. Scrupulous attention to matters of discretion and confidentiality. Working Conditions This position is currently expected to work a minimum three days per week in the office. Travel to campus and/or non-campus locations for University business. Work evenings and weekends on occasion. Application Documents Resume/CV (required) Cover Letter (required) When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application. Job Family Alumni Relations & Development Role Impact Individual Contributor Scheduled Weekly Hours 37.5 Drug Test Required No Health Screen Required No Motor Vehicle Record Inquiry Required No Pay Rate Type Salary FLSA Status Exempt Pay Range $85,000.00 - $110,000.00 The included pay rate or range represents the University's good faith estimate of the possible compensation offer for this role at the time of posting. Benefits Eligible Yes The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook. Posting Statement The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination. Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form. All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position. The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu . Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.

Tiger Analytics is an advanced analytics consulting firm that partners with some of the largest global organizations to turn data into actionable insights. We solve complex analytical problems at scale and have built a reputation for delivering valuable data-driven solutions across various industries, including Pharma and Life Sciences. If you are passionate about leveraging data science to address critical challenges in the Pharma & Life Sciences sector, this role is an excellent fit for you. Join us in revolutionizing the healthcare landscape through advanced analytics. Responsibilities Lead and manage data science projects from ideation to execution, ensuring that they meet client needs and deliver impactful results. Work closely with clients to understand their business challenges and translate them into data-driven solutions. Develop and implement advanced analytics models, including predictive and prescriptive analytics, to drive business improvement initiatives in the Pharma & Life Sciences domain. Utilize a variety of data sources, such as patient data, clinical data, and market intelligence, to generate actionable insights. Collaborate with cross-functional teams, including data engineers and business stakeholders, to ensure successful deployment of data science solutions. Mentor and guide junior data scientists and analysts, fostering a culture of learning and innovation. Present findings and recommendations to executive-level stakeholders, effectively communicating complex concepts in a clear and compelling manner. Stay updated on industry trends, emerging technologies, and advanced analytics methodologies, and share knowledge with the team. Requirements 8-12 years of professional experience in data science, analytics, or a related field, with significant exposure to the Pharma & Life Sciences sector. Strong proficiency in statistical analysis, machine learning techniques, and data mining methodologies. Hands-on experience with programming languages such as R, Python, and SQL, as well as familiarity with data visualization tools like Tableau or Power BI. Proven ability to work with large datasets and perform complex data analyses. Excellent project management skills and the ability to manage multiple projects and priorities effectively. Strong problem-solving skills and a detail-oriented mindset. Experience in communicating analytical results to senior management and facilitating decision-making processes. Master's degree or higher in Data Science, Statistics, Computer Science, or related field is preferred. Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

Title: Data Science and Analytics Location: New York Duration: 3 Months Required Skills: • Website/mobile (Adobe Analytics) • Data Visualization: advanced Excel, Tableau, Power BI • Marketing Automation • Adobe Test & Target Preferred Skills: • Adobe Analytics • Adobe Test & Target • Marketing Automation Who are you? • Bachelor’s degree, in Marketing, Business, • 8-10+ years of work experience in a quantitative business environment with 5+ years in marketing analytics • Passion for digital analytics, working with data and deriving insights to answer client business questions • Experience leading and delivering marketing analytics engagements • Strong knowledge of the digital space and digital analytics • Strong communication and client service skills • Strong organizational skills and attention to detail • Strong consultative skills and the ability to challenge status quo and gain adoption • Comfortable with working in and contributing to a fast-paced, team-based environment • Management or mentorship experience - providing training, project support, career advice and delegated responsibilities • Proven ability to influence stakeholder and senior leaders, and manage organizational change • The candidate should be a hybrid of analyst, but also storyteller. • Being able to distill data into keen, actionable insights. • They need to be able to synthesize the data. So we need someone who is an excellent verbal and written communicator

Job Title: Senior/Manager Data Science & Analytics Location: New York, NY Duration: 6 Months + Extension No of positions: 2 (1 senior consultant and 1 Manager) Requirements: •3+ years of experience with campaign targeting, segmentation, test design/learning plans, reporting and optimization of: •CRM channels (email, Push Notifications) •Engagement data (email opens/clicks, push notifications taps, web visits and clickstream) •Account data (first and 3rd party), including demographics •Transactional data (product registrations, eComm, offer redemption) •Website/mobile (Adobe/Google Analytics) •Data science language skills: •SQL •Data visualization: advanced Excel, Tableau, Power BI •Does NOT need R, Python, Data modeling, Data mining, etc. •Customer database experience will be very helpful Note: If interested please send your updated resume and include your rate requirement along with your contact details with a suitable time when we can reach you. If you know of anyone in your sphere of contacts, who would be a perfect match for this job then, we would appreciate if you can forward this posting to them with a copy to us.

The Data Science team at Asana is pivotal in fulfilling our mission by fostering a data-driven approach in shaping both our product and business strategies. In your role on the Marketing Data Science team, you will be a key player in using data and scientific techniques to enhance Asana’s marketing effectiveness. You will work closely with marketing leadership and the wider Asana data community, unearthing new opportunities to advance our marketing capabilities and efficiency. You will lead a team of data scientists, collaborating with marketing leadership to influence overall marketing strategy. Your enthusiasm for mentoring and leading a team will be matched by your drive to solve complex technical challenges. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve: Propel the Marketing Data Science team in executing its roadmap aimed at enhancing marketing initiatives, including projects like Lead Scoring, Media Mix Modeling (MMM), Multi-touch Attribution (MTA), and Spend Optimization. Lead and nurture a team of over four data scientists at varying levels, guiding their professional growth and expanding the team as necessary for ongoing business success. Collaborate with marketing leadership to pinpoint how data science can be further integrated into Asana's business approach. Take on a leadership role within the broader Asana Data Community, interacting with other Data Science teams, Data Engineering, and Analytics, along with MarketingOps and Paid Media teams that heavily rely on data outputs. Educate partners on emerging capabilities in the marketing data science space, acting as an advocate and guide to demonstrate its potential benefits. About you: Over 5 years of experience in a comparable data science role. At least 2 years of experience in managing a team of at least three data scientists. More than 4 years of experience collaborating with Marketing functions on projects like Multi-touch Attribution (MTA), Media Mix Modeling (MMM), geo-based testing, Spend Optimization, and Life-Time Value Modeling (LTV). Extensive track record in developing and implementing scalable machine learning solutions and data products that align with our business’s evolving needs. Strong expertise and proven experience in orchestrating data-driven marketing strategies. At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we’ll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $258,000 - $328,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences. These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. About us Asana helps teams orchestrate their work, from small projects to strategic initiatives. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named a Top 10 Best Workplace for 5 years in a row, is Fortune's #1 Best Workplace in the Bay Area, and one of Glassdoor’s and Inc.’s Best Places to Work. After spending more than a year physically distanced, Team Asana is safely and mindfully returning to in-person collaboration, incorporating flexibility that adds hybrid elements to our office-centric culture. With 11+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. We also comply with the San Francisco Fair Chance Ordinance and similar laws in other locations. #LI-Hybrid #LI-AS2