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About Shipwell At Shipwell, we empower supply chain efficiency and service effectiveness at scale. The Shipwell platform includes capabilities previously out of most shippers' technical reach and affordability today. Our solution combines everything shippers need, from transportation management and visibility to procurement, in a comprehensive, easy-to-use platform. It will adapt and scale as market and business demand change, allowing shippers to operate, manage, and optimize the shipping process seamlessly. Industry experts have recognized Shipwell's traction in the market and have differentiated Shipwell as a leader in the logistics industry. Awards include Gartner Magic Quadrant for TMS 2025, 2024, 2023, 2022, 2021, Food Logistics’ 2024 Top Software & Technology Providers, and FreightWaves’ FreightTech 2022 and 2021 Awards for Innovation and Disruption in Freight Industry. Shipwell was also named the fourth fastest-growing company in North America on the 2021, 2022, and 2023 Deloitte Technology Fast 500 and Forbes 2020 Next Billion-Dollar Startup. Our Culture Shipwell is a fast-paced, high-energy start-up that strives to build the future of shipping every day. Diversity of thought and cross-department collaboration is very important to us. We deliver open, honest, careful communication and work as hard as we play. We create & deliver solutions that are revolutionizing the industry, which brings excitement and purpose to our work. If you are looking for a place that will help you tap into your best work-self and give you hands-on experience building something big, then we invite you to come and build the future of shipping with us! About the Role As a Manager of AI and Data Science at Shipwell, you'll lead a talented team driving the future of AI-powered logistics solutions. You'll set the technical vision and strategy for our AI/ML initiatives, making critical architectural decisions that shape our data and AI infrastructure. This role combines hands-on technical leadership with people management—you'll mentor ML engineers, AI engineers, and data scientists while overseeing the design, development, and deployment of production-grade ML models, AI agents, and data pipelines. You'll collaborate closely with engineering, product, analytics, and leadership teams to align AI/ML projects with business objectives, ensuring we deliver high-impact solutions that keep Shipwell at the forefront of AI in logistics. From building scalable data architectures on AWS to driving innovation in GenAI and agentic systems, you'll play a pivotal role in how Shipwell leverages data and AI to revolutionize supply chain management. This is a dynamic opportunity to make meaningful impact, combining deep technical expertise with strategic leadership to enable data-driven decision-making across the organization. What we’re looking for: Must haves: 7+ years of experience in machine learning, AI engineering, or data science, with at least 3 years in a leadership or management role Proven track record of architecting, developing, deploying, and maintaining ML models and AI agents in production environments Deep expertise in Python, SQL, modern ML tooling, and frameworks such as LangChain, LangGraph, or equivalent agent development kits Strong understanding of data engineering best practices including ETL pipelines, data integrity, monitoring, and optimization Experience working with cloud infrastructure (AWS preferred) and collaborating with DevOps teams to enable scalable AI/ML systems Demonstrated ability to mentor and develop team members, fostering technical growth and collaborative excellence Excellent communication skills to effectively collaborate with engineering, product, and executive leadership Experience with the entire SDLC in Agile methodologies and git. Bachelor's degree in Computer Science, Engineering, Physics, or a quantitative field, or demonstrated equivalent experience Nice to haves: Experience in the logistics, supply chain, or transportation industry Experience with load planning and route optimization in supply chain Experience with agentic workflows and product-oriented AI development (building AI systems that interact directly with end users) Familiarity with DBT, large-scale data model refactoring, and performance optimization Prior exposure to DevOps processes including containerization and CI/CD deployments Track record of staying current with cutting-edge developments in GenAI, LLMs, and ML research Master's or PhD in a relevant technical field What you’ll do when you get here: Lead and mentor a team of ML engineers, AI engineers, and data scientists, providing technical guidance and fostering professional development Set the technical vision and strategy for AI/ML initiatives, making critical architectural decisions that shape our data and AI infrastructure Collaborate closely with engineering, product, analytics, and leadership teams to align AI/ML projects with business objectives Oversee the design, development, and deployment of ML models, AI agents, and data pipelines from conception to production Ensure data quality, integrity, and performance across all ML and data infrastructure through best practices and monitoring systems Drive innovation in GenAI, agentic systems, and advanced ML techniques to keep Shipwell at the forefront of AI in logistics Manage project timelines, resource allocation, and cross-functional dependencies to deliver high-impact AI solutions Communicate technical concepts and project outcomes effectively to both technical and non-technical stakeholders Stay proactive in identifying opportunities for improvement and raising the bar for team performance and technical excellence Why Shipwell: Enjoy working remotely with the added perk of a home office reimbursement Unlimited Paid Time Off (PTO) A robust healthcare package that includes medical, dental & vision benefits, short-term and long-term disability, AD&D coverage, and flexible/health savings accounts 401K program where Shipwell matches up to 4% All employees receive stock options A yearly learning and development budget Subsidized internet, cell phone, fitness, and educational reimbursements Virtual team-building events where fun and connection take center stage Join a vibrant, inclusive workplace shaped by friendly, talented individuals Receive a technology package, including a MacBook Pro Employee Recognition Program to celebrate and incentivize hard work and success! The Salary Range for this role is between $120-$150K per year with bonus upside. Compensation is based on several factors, including market location, job-related knowledge, skills, and experience. Shipwell is an equal opportunity employer and welcomes all qualified applicants regardless of race, ethnicity, religion, gender, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristic protected by law. We celebrate diversity and believe that experience comes in different forms. Diversity in our team makes for better problem-solving, more creative thinking, and ultimately, a better product and company culture. Even more important than your resume is a clear demonstration of impact, dedication, and the ability to thrive in a fast-paced and collaborative environment. Shipwell strives to have an inclusive work environment; so if you are hard-working & good at what you do, then please come as you are. We want you to contribute, grow, & learn at Shipwell. We are looking forward to adding new perspectives to our team! Shipwell employees will only ever email you about this position from a @shipwell.com email address. For more information about Shipwell visit shipwell.com , or connect with us on Twitter @shipwell, LinkedIn , and Facebook.com/Shipwellinc

Please note that the selected individual for this role will be expected to work in our Raleigh, NC location from the time of joining. If you reside outside of the Raleigh region and you are unable or unwilling to relocate, then please consider other roles across our organization that might allow for remote locations. About our Team : LexisNexis Legal & Professional, serving customers in over 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company is a leader in deploying AI and advanced technologies to improve productivity and transform the legal market. We prioritize using the best models from today's top creators for each legal use case. About LexisNexis Data Sciences: At LexisNexis, we're redefining legal intelligence through advanced AI. Our teams harness the power of large language models (LLMs) , retrieval-augmented generation (RAG) , and agentic systems to build tools that analyze, draft, and reason with legal text. Join us in building AI systems that help legal professionals move faster, think deeper, and operate with confidence. Role Overview: We are seeking a Senior Manager of Data Science to lead a high-impact team focused on building intelligent systems powered by LLMs and RAG architectures . This role centers on delivering AI agents that generate legal documents , interpret contracts , and autonomously execute multi-step tasks across complex legal workflows. You’ll drive the strategy, technical execution, and team growth necessary to build next-generation legal assistants—capable of grounded reasoning, contextual document drafting, and interaction with structured and unstructured data sources. Key Responsibilities: Vision & Strategy: Define the roadmap for applying LLMs and agentic AI to real-world legal drafting, summarization, and task automation challenges. Evangelize and embed AI-driven change across legal product platforms. Translate evolving generative AI capabilities into tangible customer value within the legal domain. Technical & Product Leadership: Architect systems that combine foundation models with RAG pipelines to draft contracts, memos, and pleadings grounded in enterprise knowledge. Guide the development of AI agents that perform multi-step reasoning, cite evidence, retrieve domain-specific content, and produce compliant outputs. Lead evaluation of model performance for generation, summarization, classification, and dialogue-based workflows with legal constraints in mind. Build scalable prompt engineering frameworks and manage fine-tuning or adaptation of models to legal datasets. Team & Operational Excellence: Mentor and grow a multidisciplinary team of LLM-focused Data Scientists and ML Engineers. Drive cross-functional collaboration with Legal SMEs, Data Engineers, Product Managers, and Design. Establish best practices for evaluation, observability, and responsible use of generative AI. Oversee development of infrastructure to support continuous delivery and monitoring of LLM systems in production environments. Core Qualifications: Experience Previous people management experience (3+ years) of teams building LLM-based applications , especially in domains requiring rigor and traceability like legal, finance, or compliance. Hands-on experience delivering systems using LangChain , LLM agent frameworks , vector databases , and prompt orchestration pipelines . Strong background in deploying retrieval-augmented generation (RAG) systems for grounded and auditable responses. Demonstrated success in taking LLM-powered applications from prototype to production. Technical Proficiency Proficient with Python and LLM tooling: LangChain, HuggingFace Transformers, OpenAI APIs, and prompt tuning techniques. Familiarity with vector databases (e.g., Solr, Elasticsearch, Qdrant, Weaviate), knowledge graphs, and hybrid retrieval architectures. Working knowledge of containerization (Docker, Kubernetes), CI/CD, and model serving tools (TorchServe, Triton, Ray Serve). Cloud infrastructure experience on AWS, Azure, or GCP. Preferred Background Graduate degree in Computer Science, AI, Machine Learning, or equivalent experience. 10 years of post-degree experience, with 4+ years in a data science or applied AI leadership role, with a focus on NLP/LLM systems. Prior experience in legal tech, legal AI, or document-intensive domains is highly desirable. Familiarity with ethical/legal considerations in deploying generative AI in professional settings. Work in a way that works for you : We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive Working for you : We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity Family Benefits, including bonding and family care leaves, adoption, and surrogacy benefits Health Savings, Health Care, Dependent Care and Commuter Spending Accounts Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice About the Business : LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services. U.S. National Base Pay Range: $116,000 - $215,500. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: ● Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits ● Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan ● Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs ● Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity ● Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits ● Health Savings, Health Care, Dependent Care and Commuter Spending Accounts ● In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights .

**Applicants must posses an active Top Secret clearance with SCI eligibility** MINIMUM SKILLS & EXPERIENCE: Experience and demonstrated knowledge in military Intelligence operations, processes, procedures, and authorities Provide personnel with strong Operations Research Systems Analysis (ORSA) qualifications to include experience in test design, measurement development, data collection, data analysis, and analytical report writing Minimum 9 years experience Strong writing and speaking skills

Envita Solutions, formerly known as Heritage Interactive Services, is a leading total waste management partner. The company is dedicated to fostering a healthier planet by transforming complex waste challenges into sustainable solutions. Headquartered in Indianapolis, Indiana, Envita Solutions operates in the U.S., Mexico, and Canada, has over 300 employees, and a network of over 3,000 supplier partners. A division of The Heritage Group, Envita Solutions is part of a portfolio of more than 30 companies specializing in heavy construction and materials, environmental services, and specialty chemicals. With unique access to research and development and a leading hard tech corporate venture capital portfolio, Envita Solutions is at the forefront of waste and climate challenge innovation. At Envita, our guiding principles are the foundation of our company. Our vision is to foster a healthier planet by transforming complex waste challenges into sustainable solutions. We exist to protect human health and the environment and build a safer, more sustainable world. We believe in creating enduring value, building long-term relationships and mutual trust, betting on our people, keeping our eyes open for opportunity, tackling the big problems, and doing the right thing-always. Envita Solutions is seeking a Senior AI/ML Engineer (Data Science & Automation) to lead the design, development, and deployment of scalable AI/ML and automation solutions that enhance sustainability, efficiency, and decision intelligence. This role blends deep technical expertise with leadership, mentorship, and a strong focus on production impact. You'll play a key role in shaping Envita's AI strategy and data architecture. Essential Functions Design and implement scalable data pipelines and ML architectures for production environments. Develop and deploy machine learning and generative AI models that drive measurable operational improvements. Build workflow automation solutions (APIs, UiPath, Power Automate) that improve efficiency and accuracy. Integrate models into cloud-based production systems (Azure ML, Databricks, AWS SageMaker, or GCP Vertex AI). Apply modern ML techniques, including NLP, deep learning, and predictive analytics. Partner with business and technical leaders to identify and prioritize high-value AI/ML opportunities. Define standards for data architecture, ML operations (MLOps), and model governance. Champion best practices for responsible and ethical AI in sustainability-focused operations. Mentor and coach junior data scientists and engineers, promoting excellence and innovation. Additional duties and responsibilities as assigned, including but not limited to continuously growing in alignment with the Company’s core values, competencies, and skills. Education Qualifications Required Bachelor's Degree in Computer Science, Data Science, AI/ML, or related field (Master’s/PhD preferred). Experience Qualifications 7+ years of experience in data science, AI/ML engineering, or applied machine learning Proven success developing and maintaining production ML models with measurable impact Hands-on expertise in deep learning, NLP, generative AI, and/or computer vision. Strong experience with cloud platforms (Azure, AWS, or GCP) and pipeline orchestration (Databricks, Airflow, or similar). Prior exposure to sustainability, logistics, or enterprise operations is a plus. Skills and Abilities Expert in Python and leading ML frameworks (scikit-learn, TensorFlow, PyTorch). Deep understanding of ML principles: supervised/unsupervised learning, deep and reinforcement learning, model evaluation. Familiar with workflow automation tools (UiPath, Power Automate, APIs). Strong communicator and mentor with the ability to translate complex ideas into actionable insights. Builds scalable, production-ready ML systems and fosters collaboration across teams. Operates effectively as both a builder and coach, driving continuous improvement. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. #EnvitaSolutions

Belvedere Trading is a leading proprietary trading firm proudly headquartered in downtown Chicago. Our traders work hard to provide liquidity to the market through their market-making activities and are the masters of a diverse set of commodities, interest rates, exchange-traded funds (ETF), and equity index options. From the beginning, we began iteratively investing in our proprietary technology and committing to Women and underrepresented groups frequently apply to jobs only if they meet 100% of the qualifications. We encourage you to break that mold and apply. No candidate is perfect; all have a lot to offer. We welcome your application. Core Values The secret to our award-winning culture is our Core Values: Team Belvedere, Me In Team, Own It, Iterative Innovation, and Passionate Discourse . We live and breathe these values every day. Our Stance Belvedere is an Equal Opportunity Employer and is committed to providing a non-discriminatory employment environment for its employees. Discrimination against employees and applicants due to race, color, religion, sex, national origin, disability, age, military, and veteran status is prohibited. Belvedere encourages initiatives to increase diversity and provide equal opportunity to all applicants and employees. Belvedere is committed to providing a positive environment in which team members are treated with respect, dignity, and courtesy. Our firm believes in a dynamic culture of inclusion and diversity, where people thrive on individual and organizational characteristics, values, experiences, and backgrounds. Please note that Belvedere Trading does not accept unsolicited resumes from search firms or employment agencies. Any unsolicited resumes will become the property of Team Belvedere. No phone calls, please. Any questions regarding the virtual recruiting process, please reach out to recruiting@belvederetrading.com.

The Senior Manager of Data Science & Analytics supporting hematology is responsible for developing data-driven insights to inform commercial strategy, brand planning, and operational effectiveness. This role requires hands-on data analysis and close collaboration with cross-functional teams to ensure data is leveraged to support business-critical decisions for Adcetris and Elrexfio. The Senior Manager will manage various data assets, including claims, sales, and specialty pharmacy data, and will work across oncology commercial analytics and commercial teams to integrate insights into the franchise’s strategic direction. This position will report to the Senior Director of Data Science & Analytics within Pfizer’s Oncology Commercial Analytics team. Key Responsibilities: Data Analysis and Insights Generation Advanced Analytics : Develop and implement advanced analytics models, using techniques such as machine learning, predictive modeling, and statistical analytics, to drive insights into customer behavior, market trends, and product performance. Secondary Data Analysis : Leverage multiple external data sources (e.g., claims data, specialty pharmacy data, non-retail sales) to generate actionable insights that address strategic business questions. Data Management and Governance Data Asset Management : Partner with Commercial Information Management and data governance teams to ensure the proper stewardship of data, including the integration of new data assets to enhance decision-making. Data Quality and Consistency : Ensure the quality, accuracy, and timeliness of data used for analysis by collaborating with IT, Marketing, and other cross-functional teams to maintain clean and reliable datasets. Data Sourcing : Collaborate with the Director of Oncology Data Enablement to identify and assess relevant commercial data sources (e.g., Komodo Health, IQVIA, Symphony) that can be integrated into analytics projects to improve insights and decision-making capabilities. Targeting and Segmentation Customer Segmentation : Apply advanced data science techniques to develop customer segmentation strategies that optimize targeting and resource allocation for marketing and sales teams. Engagement Optimization : Analyze customer behavior and market data to develop insights that enhance engagement strategies and drive commercial success. Brand Performance and Market Insights National-Level Reporting : Develop and maintain national-level brand performance reports, providing detailed insights into market trends, competitive dynamics, and product performance. Launch Support : Provide analytical support during product launches, including competitive intelligence, market analysis, and performance tracking to ensure successful market entry. Operational and Market Effectiveness : Analyze data to inform operational effectiveness and market performance, providing insights that optimize marketing strategies and sales operations. Reporting and Dashboards : Create and manage executive-level reports and dashboards, ensuring that key performance indicators (KPIs), market trends, and insights are effectively communicated to decision-makers. Cross-Functional Collaboration & Stakeholder Engagement Cross-Functional Partnership : Work closely with other teams (e.g., Marketing, Market Research Insights, Forecasting, Finance) to integrate data insights into broader strategic initiatives and support decision-making. Stakeholder Communication : Present complex analytical insights to senior leadership, translating data into clear and actionable recommendations that support business-critical decisions. Innovation and Continuous Improvement Process Improvement : Continuously identify opportunities to improve data analytics methodologies, processes, and tools to enhance the efficiency and accuracy of insights. Emerging Trends : Stay current with industry trends and emerging data science techniques, incorporating innovative approaches into data analysis to drive better business outcomes. Vendor and Resource Management Vendor Collaboration : Manage relationships with external vendors and data providers, ensuring timely delivery of high-quality data and insights that meet the franchise’s needs. Budget and Resource Allocation : Collaborate with Data Science & Analytics leadership to manage budgets and allocate resources effectively to support franchise data science and analytics efforts. Basic Qualifications: Education : Bachelor’s degree in data science, analytics, mathematics, biological or physical sciences, statistics, business, or a related field. Experience : Minimum of 6+ years of experience in data science, analytics, or commercial operations, with at least 5+ years in the pharmaceutical or biopharmaceutical industry. Post-graduate education can substitute for a portion of the work experience requirement. Technical Skills : Proficiency in data analysis tools such as Python, R, SQL, and data visualization platforms (e.g., Tableau, Power BI). Cross-Functional Experience : Experience working with cross-functional teams, including marketing, sales, and IT, to integrate data insights into commercial strategies. Preferred Qualifications: Oncology Expertise : Experience working in oncology, with a deep understanding of market dynamics, customer behavior, and competitive trends in the oncology space. Technical Skills : Experience with machine learning and predictive modeling techniques is highly desirable. Advanced Degree: MBA or advanced degree in a related field is preferred. Skills and Competencies: Analytical Mindset : Strong analytical and problem-solving skills, with the ability to develop data-driven solutions to complex business challenges. Strategic Thinking : Ability to think critically and strategically, translating complex data into actionable forecasts that drive business decisions. Communication : Excellent verbal and written communication skills, with the ability to present complex data insights to commercial leaders and cross-functional teams in a clear and actionable manner Project Management : Proven ability to manage multiple projects simultaneously, prioritize competing demands, and meet deadlines in a fast-paced environment. Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact. Work Location Assignment: Hybrid Other Job Details: Last day to apply: November 21, 2025 The annual base salary for this position ranges from $120,800.00 to $201,400.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 17.5% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site – U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. Relocation assistance may be available based on business needs and/or eligibility. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Pfizer endeavors to make www.pfizer.com/careers accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email disabilityrecruitment@pfizer.com . This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned. Marketing and Market Research

The Opportunity As the VP of Data Science & Analytics, you will be a pivotal leader responsible for shaping the strategic direction of our data initiatives and research projects. Reporting to our Chief Data Science Officer, you will drive the delivery of high-impact solutions that directly influence business outcomes and our ability to empower providers in the shift to value-based care. This is a unique opportunity for a visionary leader with deep technical expertise to build and scale a high-performing team, foster a culture of technical excellence, and translate complex research into tangible value. Who We Are Pearl Health is dedicated to empowering primary care providers, health systems, and physician-led networks to succeed in the shift to value-based care. Our platform delivers the technology, financial tools, and expert services that enable practices to provide more proactive, effective care to their Medicare patients, ultimately lowering costs and improving health outcomes. Founded in 2020, we are a team of healthcare and technology innovators backed by premier investors like Andreessen Horowitz, Viking Global Investors, and AlleyCorp. We partner with thousands of providers across 44 states to build a more sustainable future for American healthcare. What You'll Do You will lead a critical function responsible for shaping our Data Science & Analytics strategy, managing the execution of research projects, and ensuring the delivery of solutions that drive our business forward. Your leadership will be essential in establishing best practices, stewarding the careers of talented managers and researchers, and cultivating a culture of innovation and strategic impact. Partner with executive leadership across the company to establish the DS&A team's strategic priorities and ensure bidirectional alignment with company goals. Lead, mentor, and develop a team of DS&A managers and Principal Data Scientists, fostering their professional growth and career progression. Define the team's multi-year research trajectory in collaboration with the Chief Data Science Officer, identifying new opportunities and fostering innovation. Establish and refine robust frameworks and best practices for research, quality assurance, and operational efficiency to maximize your team's impact. Collaborate with Engineering and Technical Operations leadership to envision and build a scalable, secure MLOps environment that meets future research and product needs. Pioneer the application of Generative AI within DS&A operations to amplify the team's impact and serve as a model for broader company adoption. Communicate complex technical concepts and strategic initiatives clearly and persuasively to executive leadership, investors, and external partners to influence critical decision-making. What You’ll Bring This role demands a visionary leader with exceptional technical depth, a proven track record of building and scaling high-performing teams, and the ability to influence at an executive level. Your experience has prepared you to champion a culture of technical excellence and strategic impact within a fast-paced, high-growth environment. Must-haves: An advanced degree (Ph.D. or Master's) in a quantitative field such as Data Science, Computer Science, or Statistics, or equivalent practical experience. 10-15 years of progressive experience in a quantitative field, with at least 5-7 years in senior leadership roles managing multiple teams. A proven track record of defining, building, and scaling high-performing data science and analytics organizations within fast-paced environments. Deep expertise in areas such as advanced machine learning, statistical modeling, experimental design, and causal inference. A history of spearheading deep research initiatives that deliver innovative, production-ready models and drive significant business value. Exceptional ability to communicate and collaborate effectively with diverse stakeholders at all levels, including executive leadership. Extensive experience establishing and refining best practices for data governance, MLOps, and quality assurance. Nice-to-haves: Experience working in the healthcare domain. Experience pioneering the use of Generative AI to improve operational efficiency or drive product innovation. This role might not be for you if: You are not passionate about the people-management aspects of leadership, including mentorship, talent retention, and career development. You prefer to focus solely on deep technical work with limited cross-functional collaboration or executive-level communication. You prefer a highly stable, predictable corporate environment over a dynamic, high-growth setting. Our Values 🤝 Collaborate to Innovate: We believe the best solutions arise from intelligent teamwork. We trust the expertise of our teammates and pursue opportunities to learn and grow from each other. By embracing diverse perspectives and encouraging authenticity, we create and evangelize groundbreaking health solutions. 🗣️ Trust Through Transparency: We prioritize transparency in all our interactions, ensuring that employees, patients, clinicians and partners have access to the information they need to make informed decisions. Integrity is at the core of how we operate, from building products to fostering relationships, and is crucial to our ability to communicate openly and gain trust. ❤️ Serious Impact, Big Heart: We go above and beyond with our efforts to empower proactive, patient-centered care — and we celebrate every step forward. Humor and positivity fuel our creativity, strengthen relationships, and remind us to acknowledge the journey as much as the destination. We are an Equal Opportunity Employer on a mission to improve lives. Our strength comes from the diverse backgrounds, experiences, and perspectives of our team. We welcome all candidates and are committed to a fair, inclusive hiring process free from discrimination. What We Offer The expected offer for this role includes the following components: Base Salary Range: $240,000 - $280,000 per year. Additional Compensation: This role is eligible for a discretionary performance bonus and equity options. Benefits: We offer a competitive benefits package. You can learn more on our benefits page . Final compensation for this role will be determined by a variety of factors, including a candidate's relevant skills, experience, labor market conditions, and location. Agency Submissions We are not currently working with contingency search firms. If a resume is submitted to any Pearl Health employee by a third party without a valid written and signed search agreement, it will become the property of Pearl Health and no fee will be paid, irrespective of whether the candidate is hired. The Interview Process While steps may vary by role, you can typically expect: Recruiter Screen: An intro call to discuss your background and motivations. Hiring Manager Interview: A deeper-dive conversation with your potential manager. Panel Interview: A round of meetings with teammates and cross-functional partners. Case Assignment/Presentation: A practical exercise inviting you to solve a real-world problem or relevant challenge. Executive Interview: Final conversation(s) with 1-2 of our leaders.

We are seeking a visionary and hands-on Vice President-level Lead Data Scientist to join our Global Payments & Liquidity (GPL) team. In this role, you will work with senior leaders to uncover ins i ghts, solve complex problems, and build data-driven solutions that fuel growth, improve products, and deepen customer engagement . You wi ll analyze product portfolios , i denti fy strategic opportunities, and design s olutions that deepen customer relationships and accelerate GPL’s growth. In this role you will: Partner and consult with business leaders to understand strategic goals and translate them into data science initiatives. Lead the design and implementation of complex solutions and deliverables by utilizing advanced statistical techniques and Machine learning models . Collaborate with data engineering and business analysts to ensure scalable and secure deployment of analytics solutions. Enforce and establish best practices related to data quality and governance. Ensure data quality, model accuracy, and reproducibility through rigorous validation and documentation. Communicate insights and recommendations clearly to both technical and non-technical stakeholders. Required Qualifications: 5+ years of data science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education 5+ years of hands-on programming using SQL 5+ years of Python experience 1+ years of experience in a leadership or mentorship role Must have completed a Master's degree level or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, Business Analytics, or computer science Desired Qualifications: Prior experience supporting Agile product teams in a corporate environment Knowledge and understanding of banking products and services, including Transaction Services in areas such as payables and receivables and working capital solutions Knowledge of cloud platforms (e.g., AWS, Azure) and data visualization tools (e.g., Power BI, Tableau). Job Expectations: This role will be required to work on-site in Charlotte, NC. Candidates outside of commuting distance must be willing to relocate. Base Salary Range for Charlotte, NC: $139,000.00 - $217,000.00 annually. Role is eligible for annual discretionary performance bonus. Posting End Date: 28 Dec 2025 *Job posting may come down early due to volume of applicants. We Value Equal Opportunity Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements. Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process. Applicants with Disabilities To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo . Drug and Alcohol Policy Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. Wells Fargo Recruitment and Hiring Requirements: a. Third-Party recordings are prohibited unless authorized by Wells Fargo. b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

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.

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Xometry is an on-demand manufacturing marketplace that leverages machine learning (ML) techniques to predict the manufacturing cost of machined parts and produce automated buy it now prices on Xometry.com. Customers love our instant quoting engine, and that engine depends on Xometry’s ML team and technology. We need a strong data scientist leader to manage our ML & data science research & development and evolve the services that make up the backbone of Xometry’s business. The successful candidate will bring experience as a data scientist and machine learning leader working for a company where “AI” is considered core to the company's success. They should have experience bringing new ML models to the market as part of an online platform. They should be comfortable leading a technical team, working with product and executive stakeholders with excellent communication and stakeholder management skills - particularly when bridging technical and non-technical audiences. We have a lot of ideas on how we can improve these systems. We need help connecting these ideas to business metrics, prioritizing them with input from stakeholders into a roadmap, executing efficiently from research to bringing ML models to market, and providing proactive communication on the vision/direction and status of the work. Responsibilities : Serve as a strategic leader as part of our data science & machine learning team, with responsibility for Xometry’s pricing strategy Build collaborative relationships with key stakeholders; set priorities aligned to business goals; communicate analysis, strategies, timelines, and work of the data science & machine learning team, and gain buy-in from executive leadership Incorporate internal and external feedback to iterate and evolve ML models Practice outcome-oriented/KPI-driven team management: Define metrics that lead to business goals and report on the outcomes of your efforts Lead complex, cross-team projects to deliver on our product & ML strategy, with a singular focus on driving business results Play a crucial role in exploring new machine learning opportunities, researching and performing proof of concepts, and bringing new machine learning and AI solutions into Xometry’s platform Develop and implement machine learning models that improve Xometry’s ability to predict cost, price, and sourcing options for our customers and suppliers. Responsible for leading the evaluation of emerging technologies, identifying areas for improvement, and developing new features while ensuring the reliability and scalability of Xometry’s platform Lead the exploration of emerging AI and machine learning technologies and develop proof-of-concepts to assess their potential impact on Xometry’s platform Collaborate with cross-functional teams to gather requirements, prioritize features, and define technical solutions based on the latest innovations Monitor machine learning models and AI performance and troubleshoot issues as they arise Contribute to the documentation and knowledge base to help other teams understand and use Xometry’s AI effectively Qualifications 8+ years experience developing and implementing machine learning algorithms, ideally within an online marketplace Excellent understanding of scalable architectures and thrive working in Agile environments Recognized expertise in the areas of marketplace optimization and pricing theory Ability to apply and implement research concepts, ultimately in production quality code Experience defining clear, testable research hypotheses, including intended impact on the business Deep knowledge of design of experiments, online experimentation approaches at scale Ability to formulate and advocate for R&D objectives and results to multi-functional team members including executive business leadership and product management Experience with your machine learning models running in a real production environment Experience in end-to-end model development and deployment lifecycle i.e., from prototyping to model development and putting models into production Strong experience with Python/R, forecasting methodologies, machine learning and statistics, Experience with SQL and cloud technologies like Snowflake, Google BigQuery, Databricks, presto etc., Strong fluency in Python and SQL, experience with Tensorflow, PyTorch, Airflow and data warehouse PhD in a quantitative field (or BS/MS with equivalent work experience) Mission-driven, positive attitude, and ability to motivate others Must be a US citizen, green card holder, or a legal permanent resident of the United States #LI-Hybrid Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts, United States of America, New Brunswick, New Jersey, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Johnson & Johnson Innovative Medicine is recruiting for a Director - Knowledge & Literacy Lead . This position has a primary location of Titusville, NJ but is also open to Springhouse, PA; New Brunswick, NJ; and Boston, MA. This position will require up to 25% travel. This position is also open to select EMEA sites. For candidates interested in Madrid, Spain or Zug, Switzerland please use requisition: R-043000 Johnson & Johnson Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, cardiovascular and metabolic disorders, immunology, pulmonary hypertension, retinal disorders, and neuroscience. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market – from patients to practitioners and from clinics to hospitals. To learn more about Janssen, one of the Pharmaceutical Companies of Johnson & Johnson, visit https://www.janssen.com/johnson-johnson-innovative-medicine . About Johnson & Johnson Innovative Medicine Johnson & Johnson Innovative Medicine develops treatments that improve the health of people worldwide. Our R&D spans oncology, cardiovascular and metabolic disorders, immunology, pulmonary hypertension, retinal disorders, and neuroscience. We are committed to helping people live longer, healthier lives through first-in-class medicines and transformative innovation. Learn more at janssen.com . About the Role We are seeking a Director, Knowledge & Literacy Lead to drive the enterprise-wide flow of AI insights across Johnson & Johnson. This role ensures that AI-related knowledge is curated, contextualized, and made accessible to inform strategic decision-making and accelerate confident adoption across R&D. This position focuses on knowledge architecture, strategic insight development, and internal storytelling. The ideal candidate will possess deep technical fluency in AI, a strong scientific background, and the ability to translate complex developments into compelling narratives that resonate with diverse stakeholders. Key Responsibilities Executive Insight Development : Partner directly with the Chief Data Science Officer (CDSO) to develop high-impact executive briefings, strategic overviews, and thought leadership materials that synthesize emerging AI trends and their implications for R&D. AI Intelligence Translation : Monitor global AI advancements on a weekly basis and translate technical developments into strategic insights tailored to the needs of senior R&D leaders. Internal Innovation Storytelling : Collaborate with DSDH teams to identify, shape, and amplify internal AI tool success stories—crafting narratives that highlight their strategic value to R&D. Knowledge Architecture & Dissemination : Design and evolve a knowledge-sharing framework that ensures timely, structured, and scalable access to AI insights across the enterprise. Cross-Functional Collaboration : Engage with scientific, technical, and business stakeholders to identify knowledge gaps and deliver tailored, high-value content that supports AI literacy and adoption. Innovation in Communication : Leverage digital platforms and novel formats (e.g., interactive dashboards, visual storytelling, microlearning) to enhance the reach and resonance of AI insights. Qualifications PhD or equivalent advanced degree in a relevant scientific, technical, or data science discipline. Minimum 8 years of experience in pharmaceutical, biotech, healthcare, or life sciences, with at least 3 years in a strategic, consulting, or executive advisory capacity. Deep understanding of AI/ML technologies, including generative AI, and their application in R&D. Proven ability to synthesize complex technical information into clear, actionable insights for senior leadership. Strong storytelling and communication skills, with experience developing executive-level presentations and strategic narratives. Demonstrated success in cross-functional collaboration, particularly with data science, digital health, and R&D teams. Experience with knowledge management systems, digital communication tools, and insight dissemination platforms. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position is $160,000 - $276,000 Additional Description for Pay Transparency Employees and/or eligible dependents may be eligible to participate in the following: Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company’s long-term incentive program. Employees are eligible for the following time off benefits: – Vacation – up to 120 hours per calendar year – Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington – up to 56 hours per calendar year – Holiday pay, including Floating Holidays – up to 13 days per calendar year – Work, Personal and Family Time - up to 40 hours per calendar year #JRDDS #JNJDataScience #JNJIMRND-DS Required Skills: Preferred Skills: Advanced Analytics, Budget Management, Compliance Management, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Leadership, Program Management, Strategic Thinking, Succession Planning

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The Role: Vision & Impact SoFi is seeking an inspirational and deeply experienced Senior Director to lead and define the strategic direction of our Risk Data Science function. Reporting to the Chief Credit Officer, this executive role will lead the development, deployment, and governance of credit decisioning models - from underwriting and portfolio management to loss mitigation. The ideal candidate is a hands-on leader and a visionary who can transition the team from traditional modeling to next-generation machine learning platforms, leveraging emerging data sources (e.g., cash flow, alternative bureaus) to significantly improve underwriting performance, reduce losses, and ensure rigorous adherence to Model Risk Management (MRM) standards. This role requires exceptional organizational leadership, an ability to influence executive stakeholders, and proven success in delivering complex models into a regulated production environment. What You'll Do (Key Responsibilities) Strategic Leadership & Vision: Define and Champion Strategy: Develop and articulate the 1-3 year roadmap for Risk Data Science, aligning all priorities with the broader Credit Risk and Business Unit objectives. Drive Next-Generation Capabilities: Incorporate industry trends and advanced techniques (NLP, Graph Mining, LLMs, Deep Learning) to solve complex, high-impact risk problems where established principles may not fully apply. Talent and Team Development: Lead the current team of high-performing Staff and Senior Data Scientists. Recruit, mentor, and foster talent through deliberate interactions, succession planning, and creating a high-accountability, low-ego culture. Execution & Delivery: Underwriting Excellence: Directly oversee the development and deployment of Next Generation Underwriting models designed to increase origination while maintaining loss guardrails. Loss Mitigation & Collections: Drive the successful build-out and implementation of new Collection and Entry Rate Models to optimize outreach strategies and reduce losses. Loss Forecasting & Compliance: Lead the development of Loss Forecasting and CECL models, ensuring they align with industry practices and meet all regulatory requirements for the firm's balance sheet and reserve calculations. Alternative Data Strategy: Spearhead the evaluation and integration of alternative data sources (tri-bureau, LexisNexis, cash flow data) to enhance predictive power across all credit products. Governance, Compliance, and Cross-Functional Influence: Model Risk Management (MRM): Act as the primary owner for all models in the portfolio, ensuring robust documentation, monitoring, and successfully navigating the 2nd Line of Defense (2LOD) review and approval process (SR 11-7 familiarity is mandatory). Stakeholder Alignment: Interact and negotiate with senior management, executives (CCO, CFO, Product Leads), and external stakeholders to reconcile competing views and drive critical, high-impact business decisions. Automation and Efficiency: Lead efforts to automate model monitoring and governance processes (ModelOps) to create scalable and auditable infrastructure. What You'll Need Experience: 12+ years of progressive experience in credit risk, modeling, and data science within a regulated financial institution (FinTech, Bank, or similar), with at least 7 years in a senior leadership/management role (managing managers and/or technical leads). Education: Master’s or Ph.D. degree in a quantitative field (Statistics, Computer Science, Engineering, Operations Research, etc.). Technical Acumen: Deep expertise in advanced statistical and machine learning modeling techniques (e.g., Gradient Boosting, Deep Learning, Causal Inference). Regulatory Knowledge: Detailed working knowledge of model risk management standards (e.g., SR 11-7) and the ability to operate within a highly regulated environment. Tools & Platforms: Expert-level proficiency in Python (PySpark, scikit-learn, TensorFlow/PyTorch) and SQL/data warehouse technologies (e.g., Snowflake, Hive). Familiarity with modern MLOps platforms and cloud computing (AWS). Communication: Exceptional executive presence and the ability to distill highly complex analytical concepts into clear, concise, and compelling narratives for non-technical leadership. Why You’ll Love It Here You will have the autonomy to build the future of risk modeling at a high-growth, innovative financial technology company. Your contributions will directly impact the financial health of millions of members. Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location. To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page! SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. New York applicants: Notice of Employee Rights SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com. Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time. Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI C3 AI is searching for brilliant and ambitious Data Scientist Interns to join our Summer 2026 cohort. This isn't just about running models; you'll be on the front lines, working with iconic global brands on their digital transformation. You will tackle massive, complex datasets to build the next generation of enterprise AI applications that deliver real-world results. As a Data Science Intern, you are a problem-solver and a strategist. You will dive deep into customer challenges, partnering with our expert data scientists, software engineers, and industry specialists. Your mission will be to design and deploy sophisticated machine learning algorithms—from predictive maintenance to fraud detection—at an enterprise scale using our revolutionary C3 AI Suite. You won't just analyze data; you'll turn it into intelligence that drives critical business decisions. Responsibilities: Drive adoption of Deep Learning systems into the next generation of C3 AI products Design and deploy Machine Learning algorithms for industrial applications such as fraud detection and predictive maintenance Collaborate with data and subject matter experts from C3 AI and its customer teams to seek, understand, validate, interpret, and correctly use new data elements Qualifications: Pursuing MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent field Applied Machine Learning experience (regression and classification, supervised, and unsupervised learning) Experience with prototyping languages such as Python and R Strong mathematical background (linear algebra, calculus, probability, and statistics) Experience with scalable ML (MapReduce, streaming) Ability to drive a project and work both independently and in a team Smart, motivated, can-do attitude, and seeks to make a difference Proficient in spoken and written English Preferred Qualifications: Experience with JavaScript and Java Experience with time series and dynamical system A portfolio of projects (GitHub, papers, etc.) C3 AI provides excellent benefits and a competitive compensation package, which include: Salary range: $6,000 - $8,000 USD per month. At the office, we offer a fully stocked kitchen with catered lunches, a free on-site gym membership, Friday social hours with food, drinks, music, and plenty of opportunities to connect and network with your team. C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world. AI GenAI Data Science Internship Overview: ​ You will be part of a growing and dynamic Advanced Intelligence (AI) team whose main goal is to develop Generative AI solutions or methods to support business goals through out Lilly. ​​ Responsibilities: ​ Partner with business teams to identify, scope, and execute Generative AI efforts that answer business questions, solve business needs, and add business value Maintain a broad understanding of business needs to be fully engaged with business teams, bringing an objective voice to the table, and facilitating decisions grounded in data Collaborate with other GenAI team members to review and provide feedback on the GenAI work being done, and be willing to seek feedback from other team members about your own work Stay current with respect to Generative AI methodology, to maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected Lilly internships last for 12 continuous weeks beginning in May or June. Each intern will be assigned a project affording the opportunity to actively contribute to the organization and build a comprehensive understanding of the pharmaceutical industry. Professional development and social events will be held throughout the summer. At the conclusion, each intern will present their project highlights, findings, recommendations, and general internship accomplishments to senior leaders and stakeholders. ​​ Requirements: ​ ​Currently enrolled in and attending school. PhD student with at least three years of completed graduate work in Computer Science, Computer Engineering, Information Sciences, or closely related field. Expected graduation by August 2027 ​​ ​​ Desired Experience: ​ ​Deep and broad knowledge of Machine Learning and Generative AI methods and tools Deep understanding of NLP techniques and systems Proficiency with Python Interpersonal communication skills for effective customer consultation Teamwork and leadership skills Self-management skills with a focus on results for timely and accurate completion of competing deliverables Bring an insatiable desire to learn, to innovate, and to challenge yourself for the benefit of patients ​​ ​​ Additional Benefits: ​ ​All interns will be considered for full-time positions based on their internship performance and the business need Lilly arranges various intern activities including sporting events, dinners, lunch and learns, etc. to provide opportunities for socializing, professional development, and learning more about Lilly Interns will receive a competitive salary and free parking at their work site, as well as access to Lilly’s LIFE fitness center and bike garage If the intern's job position requires a move from another location, Lilly will provide travel arrangements and subsidized housing Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form ( https://careers.lilly.com/us/en/workplace-accommodation ) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women’s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups. Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is $65.00 / per hour Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees. #WeAreLilly

Data Science GraduateThis role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description: This requestion may be classified as on desk or hybrid depending on location and role. Job Family Definition: Designs, develops and applies programs, methodologies and systems based on advanced analytic models (e.g. advanced statistics, operations research, computer science, process) to transform structured and unstructured data into meaningful and actionable information insights that drive decision making. Uses visualization techniques to translate analytic insights into understandable business stories (eg. descriptive, inferential and predictive insights). Embeds analytics into client’s business processes and applications. Combines business acumen and scientific methods to solve business problems. Management Level Definition: Contributes to assignments of limited scope by applying technical concepts and theoretical knowledge acquired through specialized training, education, or previous experience. Acts as team member by providing information, analysis and recommendations in support of team efforts. Exercises independent judgment within defined parameters. Responsibilities: Participates in the analysis and validation of data sets/solutions/user experience. Aids in the development, enhancement and maintenance of a client's metadata based on analytic objectives. May load data into the infrastructure and contributes to the creation of the hypothesis matrix. Prepares a portion of the data for the Exploratory Data Analysis (EDA) / hypotheses. Contributes to building models for the overall solution, validates results and performance. Contributes to the selection of the model that supports the overall solution. Supports the research, identification and delivery of data science solutions to problems. Supports visualization of the model's insights, user experience and configuration tools for the analytics model. Education and Experience Required: · Bachelor´s degree in Data Science, Statistics, Operations Research, Computer Science or equivalent. · Typically 0-2 years experience. Knowledge and Skills: Basic knowledge of data science methodologies. Basic understanding of business requirements and data science objectives. Basic data mapping, data transfer and data migration skills. Basic understanding of analytics software (eg. R, SAS, SPSS, Python). Basic knowledge of machine learning, data integration, and modeling skills and ETL tools (eg. Informatica, Ab Initio, Talend). Basic communication and presentation skills. Basic data knowledge of relevant data programming languages. Basic knowledge of data visualization techniques. Additional Skills: What We Can Offer You: Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Let's Stay Connected: Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #unitedstates#grads Job: Engineering Job Level: TCP_01 States with Pay Range Requirement The expected salary/wage range for a U.S. -based hire filling this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. If this is a sales role, then the listed salary range reflects combined base salary and target-level sales compensation pay. If this is a non-sales role, then the listed salary range reflects base salary only. Variable incentives may also be offered. Information about employee benefits offered can be found at https://myhperewards.com/main/new-hire-enrollment.html . USD Annual Salary: $60,800.00 - $181,200.00 HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity . Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat , a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio , an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles . The Data Science & Insights team seeks to leverage our massive data sets into actionable insights that deliver business value. As truth seekers and truth tellers, we relay what the data says without bias, even when inconvenient or difficult. We aim to improve decision-making quality and speed across the organization to enable a deeper understanding of our customers and products. We focus on efficient and effective analytic execution, positioning ourselves as the go-to experts with deep knowledge and expertise, constantly striving for better, faster insights from data. We’re looking for a Manager, Data Science, Ads Ranking to join Snap Inc. What you’ll do Lead a team of data scientists focused on optimizing ad ranking, auction dynamics, and marketplace efficiency to maximize advertiser value and Snapchatter experience Help build and manage a team of high performing data scientists and help them execute along the most important priorities and deliver world-class products Establishes a positive, mutually supporting, inclusive and fun team environment where every employee can do their best Work cross-functionally and partner with product managers, engineers, and researchers to to develop data-driven strategies that shape product direction Conduct in-depth analysis of all data sources, asking the right questions, testing hypotheses, identifying patterns and providing the necessary business context to translate what it all means Deliver on data science and analytics roadmap including continuous improvement, accurate and timely reporting and measurement Define and drive the data science roadmap for ad ranking, including model development, experimentation, actionable insights and measurement framework Build scalable methodologies for experimentation and causal inference to assess the impact of ranking changes and new product features Translate complex technical findings into actionable insights and strategic recommendations for leadership and cross-functional stakeholders Provide strategic direction, project clarity, methodological consultation and deliver results both individually and through managing a high performing team Knowledge, Skills, Abilities: Experience leading ads data science teams with an in-depth understanding of auction dynamics, pricing, ranking, pacing and ad load Understanding of statistical analysis, experience with packages, such as R, MATLAB, Stata, etc. Working knowledge of predictive modeling, machine learning, and experimentation/ causal inference methods Expertise in the data workflow and pipeline and lead a team responsible for data capture, measurement, and optimization capability management Expertise in SQL and familiarity with Python Excellent communication skills, with high attention to detail Ability to initiate and drive projects to completion with minimal guidance Ability to balance practical business needs and scientific rigor Industrial knowledge in ad ranking or recommendation systems Minimum Requirements BS/BA degree in statistics, mathematics, economics, computer science, engineering or related field or equivalent years of experience 7+ years of experience in quantitative analysis & data science or a related field 3+ years experience in a leadership role within a data organization Preferred qualifications Advanced degree in a quantitative field (Economics, Computer Science, Physics) Experience forming partnerships with cross-functional leaders in engineering, product, design, research, etc. Proven track record in transforming data into meaningful insights and opportunities to drive growth and performance. Experience in a product-focused role at a social media, online advertising, digital media and/or mobile technology company If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information . "Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week. At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable). Our Benefits : Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success! Compensation In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future. Zone A (CA, WA, NYC) : The base salary range for this position is $229,000-$343,000 annually. Zone B : The base salary range for this position is $218,000-$326,000 annually. Zone C : The base salary range for this position is $195,000-$292,000 annually. This position is eligible for equity in the form of RSUs.

Playing an essential role in the U.S. economy, Fannie Mae is foundational to housing finance. Here, your expertise can help fuel purpose-driven innovation that expands access to homeownership and affordable rental housing across the country. Join Fannie Mae to grow your career and help people find a place to call home. Job Description In this compelling leadership position, you will plan and direct business unit operations and the work of a team who produce insights, new product or change recommendations, process improvement or automation, and predictive modeling to drive the success of strategy implementation. You will ensure team members are knowledgeable in data mining and data analysis methods, adept with large data processing techniques and computational programing capabilities, have practical problem-solving skills, and possess the ability to articulate solutions to non-technical consumers or partners. As the director, you will develop partnerships across the data engineering and data management teams, and external or created data sources to apply data mining techniques in preparation for analysis or use of enterprise data assets. THE IMPACT YOU WILL MAKE The Director of Data Science & Artificial Intelligence (AI) role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities: Lead a team of data scientist and AI developers, inspire innovation and development of advanced AI solutions from inception to production. Drive advancements in AI, while shaping the future of AI in mortgage industry and supporting the company’s mission. Ensure collaboration with product and/or business owners, data engineers, and platform teams to align team objectives and group strategy. Oversee the application of AI and data science techniques from disciplines, such as computer science, computational science and methods, statistics, econometrics, data optimization, and data visualization. Ensure statistical modeling capabilities meet the group's strategic needs. Direct and execute the deployment of AI capabilities, Generative AI solutions, recommender systems, predictive analytic capabilities to enhance the delivery of business applications and support the integration of data and statistical models or algorithms. Apply innovative practices in data science and AI research and testing to product development, deployment, and maintenance. Direct the design of modeling applications to resolve complex or unusual business problems. Ensure the team communicates complex ideas and solutions effectively to division leadership through data visualizations, technical documentation, and non-technical presentation materials. THE EXPERIENCE YOU BRING TO THE TEAM Minimum Required Experiences 8 years of relevant experience in AI, data science, or related fields, with a proven track delivering solutions to production Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A spirit of scientific discovery, driven by a passion for innovation to deliver results, balanced with a deep understanding of risks and ethical considerations. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Bachelor’s degree in computer science, Math, Statistics, engineering, physics or related field or equivalent experience Desired Experiences Master degree or PhD in computer science, Math, Statistics, engineering, physics or related field is preferred Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the Financial or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to evaluate their feasibility. Ideally, 10+ years of experience in Machine Learning, delivering complex prototyping solutions to production. Extensive proven, hands-on experience in data science. Expert-level experience with Natural Language Processing (NLP), Natural Language Understanding (NLU) and Natural Language Generation (NLG). Extensive experience with advanced data analysis and statistical methods such as regression, hypothesis testing, ANOVA, time-series analysis, statistical process control, are preferred Practical applications of machine learning techniques such as Clustering, Logistic Regression, CART, Random Forests, SVM or Neural Networks. Expert-level knowledge of deep learning frameworks such as TensorFlow, PyTorch, and other open sources libraries / APIs or similar. Strong technical and problem-solving skills and evidence of continuous learning in the analytics field Breadth and depth of knowledge in the application of statistical and/or digital methods to solve business problems Proficiency with Python and basic libraries for machine learning. Ability to visualize & synthesize results. Full stack experience building GenAI solutions; Large language models, language transformers (BERT, RoBERTa) data prep & vectorization, embedding/chunking, prompting, search/summary/RAG/finetuning. Experience with deep learning (e.g., CNN, RNN, LSTM) methods. Experience building NLP and NLG tools and a wide range of LLMs (Llama, Claude, OpenAI, etc.), LoRA, LangChain, RAG, LLM Fine Tuning and PEFT are preferred. Demonstrated skills with Jupyter Notebook, AWS Sagemaker, or Domino Datalab or comparable environments Passion for solving complex data problems and generating cross-functional solutions in a fast-paced environment Tools Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Expertise in popular machine learning algorithms and libraries such as TensorFlow, PyTorch, and Keras. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Elastic Search). Familiarity with Amazon Bedrock, AmazonQ, or Google Vertex or Microsoft AI services is prefered Familiarity with DevOps practices and tools (e.g., Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning lifecycle from experimentation to production. Knowledge of security protocols and compliance standards relevant to data privacy and AI Target Pay Range: $196,000.00 - $264,000.00 a year Internal Job Title: Enterprise Modeling and Analytics- Data Science- Director #LI-JM1 Qualifications Education: Bachelor's Level Degree (Required), Master's Level Degree The future is what you make it to be. Discover compelling opportunities at Fanniemae.com/careers. For most roles, employees are expected to work onsite on a regular basis at their designated office location. In-office work cadence is determined by your manager. Proximity within a reasonable commute to your designated office location is preferred unless the job is noted as open to remote. Fannie Mae is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity/gender expression, marital or parental status, or any other protected factor. Fannie Mae is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment, unless to do so would cause undue hardship to the company. If you need assistance using our online system and/or you need a reasonable accommodation related to the hiring/application process, please complete this form . The hiring range for this role is set forth below. Final salaries will generally vary within that range based on factors that include but are not limited to, skill set, depth of experience, certifications, and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package, Fannie Mae offers a broad range of Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee's physical, mental, emotional, and financial well-being. See more here . Requisition compensation: 196000 to 264000