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TransUnion's Job Applicant Privacy Notice Personal Information We Collect Your Privacy Choices What We'll Bring: At TransUnion, we strive to build an environment where our associates are in the driver's seat of their professional development, while having access to help along the way. We encourage everyone to pursue passions and take ownership of their careers. With the support of colleagues and mentors, our associates are given the tools needed to get where they want to go. Regardless of job titles, our associates have the opportunity to learn new things and be a leader every day. Come be a part of our team - you'll work with great people, pioneering products and cutting-edge technology. This role will act as a key leader of the Global Data Science & Analytics (GD&A) Product Development team. This role requires data science expertise and resources necessary to build market-leading data products and analytic solutions in support of TransUnion's Fraud roadmap. Maintains a strong vision of the state-of-the-art and competitive landscape, advising on the best way (the "how") to achieve objectives defined by Global Solutions stakeholders (the "what"). Incorporates innovation arising across GD&A and the broader enterprise into standards that enable consistent, high-quality, scaled development. This role will partner and collaborate with stakeholders across Global Technology, Data & Analytics (GTDA) and Solutions. What You'll Bring: 10+ years in data science and analytics 5+ years in progressively more challenging team management and leadership roles Master's or PhD degree in statistics, applied mathematics, quantitative economics/finance, engineering, operations research, physical sciences, computer science or another highly quantitative field strongly preferred. Technical Skills: Advanced programming skills and aptitude; mastery of statistical programs such as Python or R; mastery of other programming and data manipulation languages and big data platforms (SQL, Spark, C/C++, Java); experience with modern cloud computing platforms (AWS, GCP, OneTru); high level of familiarity with Microsoft Office tools; Deep, hands-on expertise applying AI (ML, agentic, LLMs), statistical inference, and predictive modeling methods in a commercial setting including real-time modeling, adversarial modeling, financial crimes, and anomaly detection. Functional Skills: Evidence of strong analytical, critical, and creative thinking and willingness to take initiative in problem-solving. Demonstrated interest and proven career path in industries served by TransUnion, such as financial services, insurance, fraud, and digital marketing. Ability to lead complex analytic projects under limited supervision and in close coordination with matrix partners. Strong project and time management skills to lead multiple complex portfolios and work streams simultaneously with minimal if any direct supervision in a collaborative and fast-paced environment. This may require the need to make impactful project decisions and recommendations, taking ownership for actions and providing a robust framework for justifying, defending, and documenting such actions across multiple stakeholder levels. Additionally, the role may require the management of multiple resources within a project and the effective coordination of tasks across resources using clear workflows. Behavioral Competencies: Excellent business acumen and versatile interpersonal skills to communicate effectively at multiple levels - including executives - within a complex and dynamic matrix organization. Knows the organization and can flexibility adapt to changes in business objectives or organizational structure. Strong verbal and written communication skills. Proven ability to translate technical concepts into articulate, actionable recommendations in a manner that is suitable to influence business partners and decision-makers inside and outside towards desired outcomes. A champion of change, able to influence others to adopt new concepts and practices. Impact You'll Make: Proactively analyze alternative data assets and AI methods for potential impacts to new and existing products, drafting business cases for Solutions review as warranted Develop generalized, off-the-shelf scores, attributes, and other analytic solutions with alignment to the Fraud roadmap, supporting all stages of the product development lifecycle (PDLC) that are applicable to a variety of business processes, industries, and regions. Use cases include identity fraud, digital fraud, and other analytic disciplines includes modeling, simulation, and optimization. Design, develop, and continually improve common global frameworks to accelerate product development and facilitate consistent, efficient delivery through OneTru and other TransUnion platforms Maintain and continually enhance global best practices for model development, including development and delivery of a training curriculum, leveraging new capabilities developed by R&D As a member of the multiple, cross-organizational working groups and projects, advocate for innovative solution designs and approaches to enhance TransUnion's long-term competitiveness Maintain complete and accurate records of department activities to support resource optimization and all levels of reporting Attract and nurture leading data science talent, creating opportunities for continual professional growth #LI-KJ1 Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, Fair Chance Initiative for Hiring Ordinance, and the California Fair Chance Act. Adherence to Company policies, sound judgment and trustworthiness, working safely, communicating respectfully, and safeguarding business operations, confidential and proprietary information, and the Company's reputation are also essential expectations of this position. This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. Benefits: TransUnion provides flexible benefits including flexible time off for exempt associates, paid time off for non-exempt associates, up to 12 paid holidays per year, health benefits (including medical, dental, and vision plan options and health spending accounts), mental health support, disability benefits, up to 12 weeks of paid parental leave, adoption assistance, fertility planning coverage, legal benefits, long-term care insurance, commuter benefits, tuition reimbursement, charity gift matching, employee stock purchase plan, 401(k) retirement savings with employer match, and access to TransUnion's Employee Resource Groups. Spousal, domestic partner, and other eligible dependent coverage is available on select health and welfare plans. We are committed to being a place where diversity is not only present, it is embraced. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law. Additionally, in accordance with Section 503 of the Rehabilitation Act of 1973 and the Vietnam Era Veterans' Readjustment Assistance Act of 1974, TransUnion takes affirmative action to employ and advance in employment qualified individuals with a disability and protected veterans in all levels of employment and develops annual affirmative action plans. Components of TransUnion's Affirmative Action Program for individuals with disabilities and protected veterans are available for review to any associate or applicant for employment upon request by contacting ERCoE@transunion.com. Pay Scale Information : The U.S. base salary range for this position is $166,800.00 - $250,000.00 annually. *The salary range for this position reflects a reasonable estimate of the range of compensation for this job. At TransUnion, actual compensation is based on careful consideration of additional factors such as (but not limited to) an individual's education, training, work experience, job-related skill set, location, and industry knowledge, as well as the scope and responsibilities of the position and market considerations. Regular, fulltime non-sales positions may be eligible to participate in TransUnion's annual bonus plan. Certain positions may be also eligible for long-term incentives and other payments based on applicable company guidance and plan documents. TransUnion's Internal Job Title: Sr Director, Data Science and Analytics Company: TransUnion LLC

You desire impactful work. You're RGA ready RGA is a purpose-driven organization working to solve today's challenges through innovation and collaboration. A Fortune 200 Company and listed among its World's Most Admired Companies, we're the only global reinsurance company to focus primarily on life- and health-related solutions. Join our multinational team of intelligent, motivated, and collaborative people, and help us make financial protection accessible to all. Overview The Associate Data Science Actuary, Biometric Assumptions is a qualified actuary with data science capabilities. The Biometric Assumptions Team provides analytical expertise for the global development of data-driven solutions in longevity product development and pricing. This role involves combining technical skills and predictive modelling to contribute to innovative model solutions and collaborates on project-teams consisting of data scientists, actuaries, IT, and business developers. The Associate Data Science Actuary will focus on internal mortality assumption development for longevity markets by leveraging new and existing data sources through exploratory analysis, insights, model maintenance, and model R&D. Location: HYBRID at RGA HQs in St.Louis, MO or OPEN TO REMOTE Responsibilities Lead, design, create, and interpret end-to-end models with a typical focus on mortality within longevity markets. Support Pricing team with insights from large datasets and support efforts to adopt robust bespoke assumptions in quotes. Evaluate new external data sources and explore new applications of non-traditional data sources for RGA in its various regions. Participate in the development and enhancement of underlying processes and recommends improvements in data analysis /modeling best practice standards Communicate with a variety of stakeholders at various levels of seniority Offer risk management skills to any data processing or modeling exercise: Understand business context & where material scope for error lies Adhere to professional standards, best practices, and ethical guidelines Understand the strengths and limitations of a modeling approach Have a strong understanding on tools / techniques their actuarial peers will not have had a formal education in Understand applications, risks, transparency, quality assurance & peer review, and ethical guidelines Stay abreast of new techniques, but focusing on practical applications Liaise with RGA's data scientists across the globe about more sophisticated data science applications Contribute to RGA's global analytics community, routinely sharing, maintaining consistency of approach Requirements Bachelor's degree in Math, Finance, Economics, Statistics, Actuarial Science, Computer Science or related field FSA accreditation or equivalent Minimum of 6 or more years of actuarial experience in life insurance/reinsurance/pension risk transfer 2+ years statistical on-the-job modeling experience (not exam based) for insurance or related applications (Regression, Decision Trees, Time Series, etc.) Statistical programs/languages (R or Python) Spreadsheet skills (Excel/VBA) and database applications (SQL, Snowflake, Oracle,...) Advanced predictive modeling skills Tree-based models, GLMs, GAMs, etc. Cross-Validation, Residuals and model diagnostics Basic Statistical concepts for feature engineering (e.g. percentiles, standardization, correlations, risk ratios / chi-square test, splines, and other non-linear transformations) Proactive use of insurance expertise & actuarial concepts to feature engineering and model evaluation Advanced exploratory data analysis skills - Plots and graphics (BI/ggplot) Ability to compile, analyze, refine, model and interpret very large data sets as well as the ability to incorporate expert judgment into statistical modeling techniques Transform data to enhance its predictive value (feature engineering) Advanced ability to translate business needs and problems into viable/accepted solutions Advanced investigative, analytical, and problem-solving skills Preferred Experience with longevity product design / pricing / experience studies / assumption development Reinsurance industry experience Master's degree or PhD in Statistics, Actuarial Science, Economics, or related field 4+ years of experience with statistical modeling for insurance Familiar with actuarial modeling platforms (AXIS, Prophet, Exp Studies etc.) Basic data engineering capabilities (Python, Scala) Basic machine learning models/concepts (SVM's, GAN's, Neural Networks/Deep Learning, Naive Bayes, NLP) and/or basic statistical concepts for feature engineering for dimensionality reduction such as PCA's, SVD's, and clustering #LI-DL1 #LI-HYBRID Compensation Range: $114,750.00 - $175,450.00 Annual Base Salary What you can expect from RGA: Gain valuable knowledge from and experience with diverse, caring colleagues around the world. Enjoy a respectful, welcoming environment that fosters individuality and encourages pioneering thought. Join the bright and creative minds of RGA, and experience vast, endless career potential. Compensation Range: Base pay varies depending on job-related knowledge, skills, experience and market location. In addition, RGA provides an annual bonus plan that includes all roles and some positions are eligible for participation in our long-term equity incentive plan. RGA also maintains a full range of health, retirement, and other employee benefits. RGA is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, age, gender identity or expression, sex, disability, veteran status, religion, national origin, or any other characteristic protected by applicable equal employment opportunity laws.

TransUnion's Job Applicant Privacy Notice Personal Information We Collect Your Privacy Choices What We'll Bring: At TransUnion, we have a welcoming and energetic environment that encourages collaboration and innovation we're - consistently exploring new technologies and tools to be agile. This environment gives our people the opportunity to hone current skills and build new capabilities, while discovering their genius. Come be a part of our team - you'll work with great people, pioneering products and cutting-edge technology.. This role will act as a key leader of the Global Data Science & Analytics (GD&A) Product Development team. This role requires data science expertise and resources necessary to build market-leading data products and analytic solutions in support of TransUnion's Marketing roadmap. Maintains a strong vision of the state-of-the-art and competitive landscape, advising on the best way (the "how") to achieve objectives defined by Global Solutions stakeholders (the "what"). Incorporates innovation arising across GD&A and the broader enterprise into standards that enable consistent, high-quality, scaled development. This role will partner and collaborate with stakeholders across Global Technology, Data & Analytics (GTDA) and Solutions. What You'll Bring: 15+ years in data science and analytics 7+ years in progressively more challenging team management and leadership roles Master's or PhD degree in statistics, applied mathematics, economics/finance, engineering, operations research, computer science or another highly quantitative field strongly preferred. Technical Skills: Advanced programming skills and aptitude; mastery of statistical programs such as Python or R; mastery of other programming and data manipulation languages and big data platforms (SQL, Spark, C/C++, Java); experience with modern cloud computing platforms (AWS, GCP, OneTru); high level of familiarity with Microsoft Office tools; Deep, hands-on expertise applying AI (ML, agentic, LLMs), statistical inference, and predictive modeling methods in a commercial setting including real-time modeling, measurement, segmentation, MTA, MMM, AdTech, MarTech, customer analytics, and transaction analytics. Functional Skills: Evidence of strong analytical, critical, and creative thinking and willingness to take initiative in problem-solving. Demonstrated interest and proven career path in industries served by TransUnion, such as financial services, insurance, fraud, and digital marketing. Ability to lead complex analytic projects under limited supervision and in close coordination with matrix partners. Strong project and time management skills to lead multiple complex portfolios and work streams simultaneously with minimal if any direct supervision in a collaborative and fast-paced environment. This may require the need to make impactful project decisions and recommendations, taking ownership for actions and providing a robust framework for justifying, defending, and documenting such actions across multiple stakeholder levels. Additionally, the role may require the management of multiple resources within a project and the effective coordination of tasks across resources using clear workflows. Behavioral Competencies: Excellent business acumen and versatile interpersonal skills to communicate effectively at multiple levels - including executives - within a complex and dynamic matrix organization. Knows the organization and can flexibility adapt to changes in business objectives or organizational structure. Strong verbal and written communication skills. Proven ability to translate technical concepts into articulate, actionable recommendations in a manner that is suitable to influence business partners and decision-makers inside and outside towards desired outcomes. A champion of change, able to influence others to adopt new concepts and practices. Impact You'll Make: Proactively analyze alternative data assets and AI methods for potential impacts to new and existing products, drafting business cases for Solutions review as warranted Develop generalized, off-the-shelf scores, attributes, and other analytic solutions with alignment to the Marketing roadmap, supporting all stages of the product development lifecycle (PDLC) that are applicable to a variety of business processes, industries, and regions. Use cases include customer segmentation, customer lifetime value, churn prediction, recommender systems, leads scoring, and market response, among others. Design, develop, and continually improve common global frameworks to accelerate product development and facilitate consistent, efficient delivery through OneTru and other TransUnion platforms Maintain and continually enhance global best practices for model development, including development and delivery of a training curriculum, leveraging new capabilities developed by R&D As a member of the Cross-Functional Leadership Team (CFLT) and related Councils, advocate for innovative solution designs and approaches to enhance TransUnion's long-term competitiveness Maintain complete and accurate records of department activities to support resource optimization and all levels of reporting Attract and nurture leading data science talent, creating opportunities for continual professional growth #LI-KJ1 Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, Fair Chance Initiative for Hiring Ordinance, and the California Fair Chance Act. Adherence to Company policies, sound judgment and trustworthiness, working safely, communicating respectfully, and safeguarding business operations, confidential and proprietary information, and the Company's reputation are also essential expectations of this position. This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. Benefits: TransUnion provides flexible benefits including flexible time off for exempt associates, paid time off for non-exempt associates, up to 12 paid holidays per year, health benefits (including medical, dental, and vision plan options and health spending accounts), mental health support, disability benefits, up to 12 weeks of paid parental leave, adoption assistance, fertility planning coverage, legal benefits, long-term care insurance, commuter benefits, tuition reimbursement, charity gift matching, employee stock purchase plan, 401(k) retirement savings with employer match, and access to TransUnion's Employee Resource Groups. Spousal, domestic partner, and other eligible dependent coverage is available on select health and welfare plans. We are committed to being a place where diversity is not only present, it is embraced. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law. Additionally, in accordance with Section 503 of the Rehabilitation Act of 1973 and the Vietnam Era Veterans' Readjustment Assistance Act of 1974, TransUnion takes affirmative action to employ and advance in employment qualified individuals with a disability and protected veterans in all levels of employment and develops annual affirmative action plans. Components of TransUnion's Affirmative Action Program for individuals with disabilities and protected veterans are available for review to any associate or applicant for employment upon request by contacting ERCoE@transunion.com. Pay Scale Information : The U.S. base salary range for this position is $193,500.00 - $406,500.00 *The salary range for this position reflects a reasonable estimate of the range of compensation for this job. At TransUnion, actual compensation is based on careful consideration of additional factors such as (but not limited to) an individual's education, training, work experience, job-related skill set, location, and industry knowledge, as well as the scope and responsibilities of the position and market considerations. Regular, fulltime non-sales positions may be eligible to participate in TransUnion's annual bonus plan. Certain positions may be also eligible for long-term incentives and other payments based on applicable company guidance and plan documents. TransUnion's Internal Job Title: VP, Data Science and Analytics Company: TransUnion LLC

About Us At LexisNexis Intellectual Property Solutions, our mission is to bring clarity to innovation by delivering better outcomes to the innovation community. Every day, our teams support the development of new technologies and processes that ultimately advance humanity. By empowering innovators to make informed decisions, be more productive, comply with regulations, and achieve superior results, we directly serve those shaping the future of humankind. About the Team We are launching a small, high-impact innovation team focused on data science and AI-driven solutions. We are seeking a Director of Data Science & AI Innovation to lead this effort. This role blends strategic leadership, applied AI expertise, and hands-on execution. About the Role You will initially lead a very small team (one data scientist and one engineer), working side-by-side with them to prototype, test, and evolve AI solutions from concept to scalable product. As the team grows, you will expand its capabilities, establish best practices, and help shape the future of AI innovation across the organization. Conditions of Employment: You must be a U.S. citizen to apply for this position. Hybrid Position required to report to one of the following Horsham, PA, Washington, DC (Alexandria, VA) or Raleigh, NC Responsibilities Strategic Leadership Collaborate with the CTO and senior leadership to scope, prioritize, and deliver AI and data science innovation projects aligned to business and product strategy. Define and execute our AI strategy, transforming complex business challenges into data science-driven solutions that evolve from prototypes into scalable, production-grade AI services. Modernize data infrastructure and deploy impactful AI capabilities including generative AI, agentic AI, and deep learning. Each tightly aligned with measurable business outcomes. Innovation & Delivery Own the end-to-end lifecycle of AI initiatives from greenfield concept through prototyping, experimentation, and implementation into successful market-ready solutions. Rapidly evaluate new AI/ML techniques, architectures, and technologies for practical application. Champion responsible AI practices, including transparency, bias mitigation, and model governance. Team Leadership & Development Lead and mentor a small founding team, setting the tone for a culture of innovation, experimentation, and rapid iteration. Establish technical best practices in experimentation, data pipelines, model development, and deployment, building the foundation for future growth. Foster organizational best practices by bridging data science, engineering, and product teams to embed AI across business functions, ensuring alignment through transparent communication and cross-functional collaboration. Inspire and develop future team members as the group expands. Collaboration & Influence Partner with product managers to shape AI product strategies and make build-vs-buy decisions. Provide clear communication and insights to senior executives and stakeholders. Represent the AI/Data Science team in strategic forums, highlighting impact and progress. Requirements Experience 12+ years in technology roles with at least 7+ years focused on data science/AI. 5+ years in leadership roles managing high-performing data science or AI teams. Proven track record of delivering greenfield AI/ML solutions into production environments. Experience in rapid prototyping, experimental design, and scaling AI systems. Technical Expertise Deep knowledge of machine learning, natural language processing, generative AI, and modern data/ML architectures. Strong grounding in software engineering practices, data pipelines, and MLOps. Hands-on ability to contribute to early prototypes alongside a small team. Leadership & Skills Excellent communication skills with the ability to explain AI concepts to both technical and non-technical audiences. Demonstrated ability to lead in ambiguous, fast-paced, and experimental environments. Strong experience balancing near-term delivery with long-term technical strategy. Plus Experience Familiarity with lean product development and design thinking. Experience working in startup, innovation lab, or 0→1 product environments. Work in a way that works for you We promote a healthy work/life balance across the organization, with various flexible and remote working options available to employees. Working with Us LexisNexis Legal & Professional is proud to be an equal-opportunity employer. We are committed to equal opportunity employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Together, we are building a diverse and inclusive workplace. Working for you We believe in a healthy work/life balance. We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Comprehensive, multi-carrier health plan benefits Disability insurance Dependent care and commuter spending accounts Life and accident insurance Retirement benefits (salary investment plan/employer stock purchase plan) Modern family benefits, including adoption and surrogacy About LexisNexis LexisNexis Intellectual Property Solutions is a division of LexisNexis Legal and Professional. LexisNexis is a leading global provider of legal, regulatory, business information and analytics that help customers increase productivity, improve decision-making and outcomes, and advance the rule of law around the world. We're a part of the stock listed RELX Group, serving customers in more than 130 countries with 10,000 employees worldwide. U.S. National Base Pay Range: $133,400 - $247,800. 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 to our US full- and part-time employees working at least 20 hours or more per week: ● 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.

ABOUT THIS POSITION As the Sr Manager, Data Science, you will be a technical and operational leader reporting to the VP of Data Science. Your primary responsibility will be to lead a team of data scientists, driving the development and deployment of innovative data science solutions that support Waystar's AltitudeAI platform and healthcare revenue cycle management (RCM) products. This role requires strong hands-on expertise in machine learning, a passion for mentoring, and the ability to deliver production-grade solutions that improve customer outcomes in a regulated environment. WHAT YOU'LL DO Team Leadership & Project Execution Lead, mentor, and develop a team of data scientists, fostering a culture of technical excellence, collaboration, and continuous learning. Manage day-to-day operations of data science projects, ensuring timely delivery and alignment with business objectives. Oversee the implementation and monitoring of machine learning models, ensuring accuracy, compliance, and reliability in production settings. Collaborate with product, engineering, and analytics teams to integrate data science solutions into core platform offerings. Technical Execution & Innovation Apply advanced machine learning techniques (classification, regression, clustering, NLP, LLMs, anomaly detection) to solve business and clinical challenges in healthcare RCM. Develop and maintain robust model governance processes, including versioning, monitoring, and drift detection. Support the evaluation and adoption of new technologies and tools to enhance data science capabilities. Participate in the design and execution of A/B tests and experiments to measure the impact of deployed models. Collaboration & Communication Communicate technical findings and project status to stakeholders, including product managers and engineering leads. Contribute to the development of technical documentation and best practices for the data science team. Support the team's professional development through coaching, training, and knowledge sharing. WHAT YOU'LL NEED Bachelor's or Master's degree in Computer Science, Statistics, Engineering, or a related quantitative field. 7+ years of experience in data science or machine learning, with at least 2 years in a leadership or team lead role. Hands-on expertise in the full machine learning lifecycle, including model development, deployment, and monitoring. Experience with deep learning, NLP, and generative AI techniques (e.g., transformers, LLMs) preferred. Strong programming skills in Python and familiarity with ML frameworks (PyTorch, TensorFlow, XGBoost). Experience working with healthcare, financial, or claims data is a plus. Excellent communication and collaboration skills. ABOUT WAYSTAR Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle. Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful, optimistic & fun. Waystar products have won multiple Best in KLAS or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.com or follow @Waystar on Twitter. WAYSTAR PERKS Competitive total rewards (base salary + bonus, if applicable) Customizable benefits package (3 medical plans with Health Saving Account company match) We offer generous paid time off for our non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays Paid parental leave (including maternity + paternity leave) Education assistance opportunities and free LinkedIn Learning access Free mental health and family planning programs, including adoption assistance and fertility support 401(K) program with company match Pet insurance Employee resource groups Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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 Portfolio Management Job Category: Professional 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 and Johnson Innovative Medicine (J&J IM), a pharmaceutical company of Johnson & Johnson is recruiting for a Senior Director, Head of Hematology R&D Data Science & Digital Health. This position has a primary location of Spring House, PA but is also open to Cambridge, MA; Titusville; NJ, Raritan, NJ; or New Brunswick, NJ. The position requires 25% travel. Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine This role will direct and lead efforts to deliver innovative end-to-end Data Science & Digital Solutions to the Oncology Hematology portfolio. This will include both early and late stage pipeline assets. This person will lead a team aimed at supporting the Clinical Development Teams (CDTs) with the full spectrum of Data Science capabilities, such as novel endpoints, real-world evidence, and digital diagnostics using AI/ML and other appropriate methods. This role will lead clinical-stage therapies such as Darzalex, Tecvayli and Talvey. Additional responsibilities include capability and talent development, resource management and deployment, and supporting an organizational culture that promotes data-driven decision-making across all functions of Johnson & Johnson Innovative Medicine- R&D Oncology. You will be a thought leader within Janssen R&D in the field of applied use of innovative methodologies in clinical trials. The Applicant will: Be responsible for leading a team of Data Scientists who partner with cross functional Compound Development Teams for clinical-stage hematologic cancers in building and implementing Data Science plans to support clinical/research objectives throughout the trial lifecycle. Data Science applications will include Real-World Evidence, cell profiling, clinical phenotyping, computer vision/medical imaging that leverage technologies such as statistical methodologies, AI/Machine learning techniques (e.g. Generative AI). Actively manage a team to communicate Data Science plans for Compound Development Teams. This will include seeking and managing feedback with internal and external stakeholders and developing fit-for-purpose studies serving CDT objectives. Develop data, analytic and reporting requirements for Data Science-related projects for the CDTs. This will include both regulatory-grade and observational research. Identify and procure data sets and technologies for bespoke applications. Manage external partnerships. Work with clinical and internal Data Science teams and external partners to execute analytics and report results. The candidate will be responsible for liaising with external partners including regulatory agencies. The candidate will be responsible for communicating and interpreting scientific results, as well as projecting implications of Data Science research. Qualifications: Advance degree in Health Science (Ph.D or MD) or Masters Degree, Pharm D with equivalent work experience with data analysis, interpretation and experimental design. A background in one or more of the following areas is beneficial: clinical oncology, computational research, pharmaco-epidemiology, statistics, outcomes research or related field in health care area. 8+ years of health-care related research, such as disease/clinical phenotyping, outcomes research, clinical genomics Strong working knowledge of drug development, with established expertise with one or more components of drug development, such as translational research, clinical studies, or regulatory interactions. Familiarity with healthcare relevant datasets, such as EHR/RWD, genomics, insurance claims Capacity to manage timelines and drive key deliverables in a matrix environment. Established leadership skills, including management of individuals and teams working towards common clinical/scientific goals Prior experience working and driving external partnerships, either corporate or academic Ability to effectively communicate technical work to a wide audience. Team leadership either preferably as a line function leader or in some cases leader in a matrix environment Preferred: Experience with digital heath outcome solutions for Oncology therapies. Prior experience serving on multifunctional teams delivering clinical trials in an R&D or Medical Affairs setting. Proficiency with regulatory submissions and interaction. Experience with novel, innovative approaches to drug development, such as Generative AI.s 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 $173,000 to $299,000 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: The anticipated base pay range for this position is : Additional Description for Pay Transparency:

WHOOP is an advanced health and fitness wearable on a mission to unlock human performance and healthspan. We empower our members to improve their health and perform at higher levels by providing deep insights into their bodies and daily lives. The Health Data Science team develops novel algorithms and features that expand WHOOP's health capabilities, spanning women's health, regulated medical features, wellness monitoring, longevity research, and emerging health insights. By combining continuous physiological data with clinical research and data science expertise, we deliver features that are both scientifically rigorous and deeply impactful for our members. As a Data Science Manager on the Health team, you will lead a team of data scientists and research scientists driving projects critical to WHOOP's success. You'll balance program execution with people leadership, ensuring the team delivers impactful health features while fostering professional growth. RESPONSIBILITIES: People Management: Mentor, coach, and develop a high-performing team of data scientists and research scientists. Provide guidance on career growth, skill development, and performance improvement. Program Management: Oversee the execution of multiple data science projects within the Data Science Health Team. Ensure projects are delivered on time, within budget, and to the highest quality standards. Resource Allocation: Optimize resource allocation to maximize team efficiency and project outcomes. Coordinate with other departments to secure necessary resources and support for team initiatives. Roadmapping: Collaborate with cross-functional stakeholders to develop and maintain a comprehensive roadmap for the Health Team's data science initiatives. Ensure alignment with company objectives and market trends. Dependency Management: Identify and mitigate dependencies across projects to minimize risks and ensure smooth execution. Proactively communicate with stakeholders to manage expectations and resolve conflicts. Team Support: Act as a supportive leader, fostering a collaborative and inclusive team culture. Provide guidance and assistance to overcome challenges and achieve team goals. Communication: Serve as a primary point of contact for communicating project status, risks, and opportunities to senior leadership and stakeholders. Facilitate effective communication within the team to ensure clarity and alignment. QUALIFICATIONS: Bachelor's Degree in Data Science, Mathematics, Statistics, Computer Science, or a related field, Master's or PhD preferred. Proven experience (5+ years) managing data science teams or similar technical teams in a fast-paced environment. Excellent communication and interpersonal skills, with the ability to build strong relationships with cross-functional teams and stakeholders. Strong understanding of data science methodologies, tools, and techniques, with the ability to provide high-level technical guidance. Exceptional leadership and management skills, with a track record of developing and motivating individuals to achieve their full potential. Strategic thinker with the ability to prioritize initiatives, allocate resources effectively, and drive results in line with business objectives. Experience in the healthcare or wearable device industry is a plus. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don't meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company's long-term growth and success. The U.S. base salary range for this full-time position is $150,000-$210,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate's specific qualifications, expertise, and alignment with the role's requirements. Learn more about WHOOP.

The Director, Data Science (Ophthalmology) role is a part of the Insights & Analytics team under Commercial Strategy. In this role, a typical day might include: As a part of the team, the role will collaborate with business partners, service owners and IT peers to develop predictive and prescriptive models and insights for Ophthalmology CBU within US Commercial Organization. This role will innovate and create significant business impact through the strategic use of advanced analytics techniques to help Regeneron with its mission of getting patients the therapies they need. This role might be for you if you can: Leveraging data science, machine learning, and artificial intelligence capabilities drive marketing and sales execution effectiveness for the Ophthalmology CBU. Contributing to cross functional teams (Insight & Analytics organization) on projects and/or programs with aims to derive integrated insights that deliver substantial business value to Ophthalmology CBU patients. Identifying business needs and proposing potential analytics approaches for solutions. Manage high performing internal/external analytics team to ensure key projects are delivered with timely and key business insights/actions. Building high-performance algorithms, prototypes, predictive models and proof of concepts using Python, R, SAS, SQL and/or other tools. Creating prototypes and demonstrations to better access and utilize data assets. Collaborating cross-functionally with stakeholders to develop use cases that are relevant to the business. Responsible for managing and maintaining promotional response models and lead marketing mix and attribution modeling work. Presenting analysis ideas, progress and results to business partners. Ensuring systems meet business requirements and industry best practices, Assuring compliance with regulatory, security, and privacy requirements as it relates to data assets. To be considered for this opportunity, you must have the following: Master's degree completed by start date and 10+ years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR Bachelor's degree and 12+ years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience Degree in Data Science, Engineering, Mathematics, Applied Physics, Statistics, or Operations Research 7+ years of data science and analytics experience Experience with databases including relational, NoSQL, and Graph Programming experience with Python, R, or SAS and experience with ML libraries like scikit-learn, MLib, Keras, TensorFlow, Pytorch, etc. Write well-abstracted and reusable code in Python, R, or Scala; freely navigate in Linux environment; stand up web applications; documentation, version control, and code review Detail-oriented technical aptitude with strong logical, problem solving, and decision-making skills Excellent organization/planning skills and talent for managing many large and complex datasets Ability to set up analytics bench/infrastructure to build data science capabilities Provide analytics guidance for brand performance analytics and internal team members Ability to collaborate and influence business partners and other IS resources to drive analytic projects end-to-end Ability to communicate analysis in a clear, precise, and actionable manner Experience working with large datasets, experience working with distributed computing tools (Spark, Hive, etc.) Passion for learning and staying on top of current developments in advanced analytics Biotech / Pharma experience required Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We have an inclusive and diverse culture that provides comprehensive benefits, which often include (depending on location) health and wellness programs, fitness centers, equity awards, annual bonuses, and paid time off for eligible employees at all levels! Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the Traveler community, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or parental status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations. The Company will also provide reasonable accommodation to the known disabilities or chronic illnesses of an otherwise qualified applicant for employment, unless the accommodation would impose undue hardship on the operation of the Company's business. For roles in which the hired candidate will be working in the U.S., the salary ranges provided are shown in accordance with U.S. law and apply to U.S.-based positions. For roles which will be based in Japan and/or Canada, the salary ranges are shown in accordance with the applicable local law and currency. If you are outside the U.S, Japan or Canada, please speak with your recruiter about salaries and benefits in your location. Please note that certain background checks will form part of the recruitment process. Background checks will be conducted in accordance with the law of the country where the position is based, including the type of background checks conducted. The purpose of carrying out such checks is for Regeneron to verify certain information regarding a candidate prior to the commencement of employment such as identity, right to work, educational qualifications etc. Salary Range (annually) $180,400.00 - $300,700.00

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! Pay range: $217,600.00 - $374,000.00 Payment frequency: Annual This role is also eligible for a bonus, long term incentives and competitive benefits. More information about our employee benefits can be found in the link above. 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.

Varo is an entirely new kind of bank. All digital, mission-driven, FDIC insured and designed for the way our customers live their lives. A bank for all of us. We are looking for an inspiring and technically deep Head of Data Science to lead our team in leveraging advanced analytics, machine learning, and causal inference to catalyze decision-making and propel Varo's growth. You will lead the Data Science function within Varo's comprehensive Data organization (which includes Data Analytics, Data Product Management, Data Engineering, and ML Engineering). Your team will be the strategic partner and technical engine for solving our most complex business challenges across key verticals like customer acquisition, engagement, fraud prevention, and responsible lending. What you'll be doing Strategic Ownership: Define, own, and drive the comprehensive Data Science roadmap (including AI/ML and causal inference) that directly translates into commercial outcomes across Varo's core business verticals. Model Innovation & Delivery: Lead the development, validation, and production deployment of custom machine learning and statistical models that are critical for decision-making. Business Partnership: Serve as a strategic data consultant to executive leaders and business stakeholders, translating ambiguous commercial problems into rigorous analytical frameworks and actionable solutions. Data Integrity & Risk: Work closely with Data Engineering and Product teams to ensure the quality, accessibility, and lineage of new data sources. Ensure all models and analyses adhere to Varo's risk framework and regulatory requirements for fairness and transparency. Operational Excellence: Establish and own the ML Model Performance Monitoring processes, ensuring deployed models maintain accuracy and business impact over time and are governed appropriately. Team Leadership & Mentorship: Attract, hire, mentor, and coach a high-performing team of Data Scientists, setting a high bar for technical rigor, business acumen, and cross-functional collaboration. You'll bring the following required skills and experiences 8+ years of experience in Data Science, Applied Science, or a related quantitative field. Deep Domain Expertise: Proven track record of delivering measurable business impact in at least one key financial services domain (e.g., credit/lending, fraud/risk modeling, or customer growth/engagement). Technical Fluency: Expert-level proficiency in Python and its scientific computing stack (Pandas, Scikit-learn, PyTorch/TensorFlow). Proven ability to apply a wide range of statistical methods, machine learning algorithms, and causal inference techniques to large, real-world datasets. Data Ecosystem Experience: Hands-on experience working with distributed data and computing tools (e.g., Spark, Hive) and cloud web services (e.g., AWS, GCP, or Azure). Leadership Acumen: Demonstrated ability to thrive in a fast-paced environment, attract high-quality talent, and drive a data-informed culture. $250,000 - $300,000 a year For cash compensation, we set standard ranges for all US-based roles based on function, level, and geographic location, benchmarked against similar-stage growth companies. Per applicable law, the salary range for this role is $250,000 - $300,000. Final offer amounts are determined by multiple factors as well as candidate experience and expertise and may vary from the identified range. This role is also eligible for a bonus, equity, and competitive benefits. We recognize not everyone will have all of these requirements. If you meet most of the criteria above and you're excited about the opportunity and willing to learn, we'd love to hear from you! About Varo Varo launched in 2017 with the vision to bring the best of fintech into the regulated banking system. We're a new kind of bank - all-digital, mission-driven, FDIC-insured, and designed around the modern American consumer. As the first consumer fintech to be granted a national bank charter in 2020, we make financial inclusion and opportunity for all a reality by empowering everyone with the products, insights, and support they need to get ahead. Through our core product offerings and suite of customer-first features, we aim to address a broad range of consumer needs while profitably serving underserved communities that have been historically excluded from the traditional financial system. Learn more about Varo by following us: Facebook - https://www.facebook.com/varomoney Instagram - www.instagram.com/varobank LinkedIn - https://www.linkedin.com/company/varobank Varo is an equal opportunity employer. Varo embraces diversity and we are committed to building teams that represent a variety of backgrounds, perspectives, and skills. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Beware of fraudulent job postings! Varo will never ask for payment to process documents, refer you to a third party to process applications or visas, or ask you to pay costs. Never send money to anyone suggesting they can provide work with Varo. If you suspect you have received a phony offer, please e-mail [email protected] with the pertinent information and contact information. CCPA Notice at Collection for California Employees and Applicants: https://www.varomoney.com/privacy-legal/ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

[What the role is] The Government Technology Agency (GovTech) is the lead agency driving Singapore's Smart Nation initiatives and public sector digital transformation. As the Centre of Excellence for Infocomm Technology and Smart Systems (ICT & SS), GovTech develops the Singapore Government's capabilities in Data Science & Artificial Intelligence, Application Development, Smart City Technology, Digital Infrastructure, and Cybersecurity. At GovTech, we offer you a purposeful career to make lives better. We empower our people to master their craft through continuous and robust learning and development opportunities all year round. Our GovTechies embody our Agile, Bold and Collaborative values to deliver impactful solutions. GovTech aims to transform the delivery of Government digital services by taking an "outside-in" view, putting citizens and businesses at the heart of everything we do. Play a part in Singapore's vision to build a Smart Nation and embark on your meaningful journey to build tech for public good. Join us to advance our mission and shape your future with us today! Learn more about GovTech at tech.gov.sg. [What you will be working on] At Ministry of Trade & Industry (MTI), we are always on the lookout for high performing individuals who share our aspiration of making Singapore a conducive environment for entrepreneurs and enterprises to tap its diverse opportunities. As a Data Science Manager (Assistant Director / Staff Data Scientist), you will drive the productisation and operationalisation of AI models and applications used across the ministry, our departments and statutory boards. You will lead technical implementation, system integration, and performance engineering - while strengthening our internal AI platform and tooling. Our Team You will be part of the Ministry Family CIO Office (MFCO), which leads MTI's digital product development, innovation, and platform strategy. MFCO works closely with policy and corporate divisions to design and deliver meaningful, scalable digital solutions across the ministry. This role focuses on leading the evaluation, development/ configuration and optimisation of generative AI and LLM solutions for policy making, knowledge management, employee productivity, Government-to-Business (G2B) service delivery, and developing the infrastructure needed to deploy them safely and effectively. You will also contribute to MTI's AI strategy, portfolio and uplifting our functional capabilities and the competencies of MTI officers so that they are confident in using AI in their everyday work. Roles & Responsibilities: AI Strategy and Portfolio Work closely with Strategy & Planning teams to define and maintain the AI strategy for MTI and the Ministry Family, ensuring the plan is technically feasible. Work closely with stakeholders and product managers to manage the AI portfolio and supporting strategies for structured and unstructured data. Create long-term technical plans and roadmap for the AI portfolio. Update it regularly to meet future business needs and infrastructure requirements. AI Productisation and System Integration Lead data scientists/ engineers to develop prototypes which address business problems and promote them into production-ready solutions. Design and deploy scalable AI pipelines that support the real-time integration of LLMs and ML models into internal and external digital platforms. Ensure systems are robust, maintainable, and tuned for performance, latency, and cost-effectiveness. AI Infrastructure and Optimisation Establish the AI technology stack for MTI and the Ministry Family ensuring alignment with central services and local infrastructure. Lead efforts to optimise models for inference speed, memory usage, and production readiness. Oversee the benchmarking and evaluation of AI solutions, models and frameworks. Engineering Culture and Tooling Establish best practices in model deployment, testing, and observability. Contribute to reusable components, libraries, and infrastructure that support other AI and product teams. Mentor engineers on best practices for AI evaluation, model reliability, and technical excellence. [What we are looking for] Engineering Leadership- Lead implementation across model deployment, observability, and infrastructure design with a focus on reliability and performance. Performance and Optimisation- Improve model inference speed and cost efficiency while ensuring high-quality outputs. Infrastructure Tooling- Build infrastructure to support the strategy of MTI and drive synergies out of the diverse needs and maturity in the Ministry Family. Collaboration and Execution- Work closely with business owners, product managers, data scientists/ engineers and data teams to deliver real-world, production-ready solutions. Required Qualifications and Experience Right candidate must be technically hands on and experience in all parts of the technology stack: client side, back end, infrastructure, performance, data, and others. Worked on the full stack development and built end-to-end systems in a digital product environment including user interfaces, APIs, backend systems, and database systems. Very well versed in the software development using Agile, modular design, pair programming, software automation, continuous integration, continuous delivery, and infrastructure automation. Experience building and deploying ML models in production environments (e.g. REST/gRPC endpoints, containerised models, model serving platforms). Proficiency in Python and experience with ML/AI frameworks. Experience with evaluation frameworks, CI/CD pipelines, and monitoring stacks. Strong systems thinking and performance engineering mindset. Familiarity with techniques for safe deployment, evaluation metrics, model guardrails, and A/B testing in ML systems. Have a strong sense of what it means to be a technical leader, particularly as it relates to the suite of soft skills beyond just your technical chops. Passion towards engineering excellence; you deeply understand that software engineering is a team sport, and you take pride in the craftsmanship aspect of software engineering. The ability to guide a team to achieve important goals together. Minimally 5+ year of development experience in machine learning engineering, or AI infrastructure roles; and 2+ years of experience coaching developers, helping them enhance their performance and grow their careers. Join Us If you're excited to turn cutting-edge AI into robust, production-ready systems that power the future of education - we'd love to hear from you. Join us to build AI solutions that matter for the next generation of learners, educators, and public service! GovTech is an equal opportunity employer committed to fostering an inclusive workplace that values diverse voices and perspectives, as we believe it is key to innovation. Our employee benefits are based on a total rewards approach, offering a holistic and market-competitive suite of perks. We champion flexible work arrangements (subject to your job role) and trust you to manage your time to deliver your best. Learn more about life inside GovTech at go.gov.sg/GovTechCareers.

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It's transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We're not waiting for the future to arrive. We're shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours Our Sports Modeling team comprises sports modeling experts and data science technologists, coming together to develop innovative products that deliver incremental value across our Sportsbook platform. As a Senior Data Scientist on the Sports Modeling team, you will develop models and data-driven solutions that enhance the Sportsbook experience for our users. In this role, you will work on implementing advanced sports models, refining data assets, and ensuring seamless integration into applications. What you'll do as a Senior Data Scientist, Football Create statistical and machine learning models and integrate them into data science applications. Collect and engineer sports data assets to assist in model development. Implement the sports models and pricing engines in Python. Create automatic tests to ensure model and pricing engine accuracy. Collaborate closely with Trading, Product, Engineering, and QA teams to move projects from ideation to deployment. Test data flows and model integration in a larger business context. Coach and support more junior data scientists within the team. What you'll bring Demonstrated passion for sports and a strong understanding of relevant leagues and their dynamics. A college degree in Statistics, Data Science, Mathematics, Computer Science, Engineering, or another related field. Proficiency in Python, with experience building statistical or machine learning models across various sports. Solid grasp of data science principles, statistical modeling techniques, and object-oriented programming concepts. Familiarity with tools and practices such as Kubernetes, Kafka, version control, and MLOps principles. Self-motivation and eagerness to expand knowledge and understanding of Sportsbook products and related technologies. Join Our Team We're a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don't worry, we'll guide you through the process if this is relevant to your role. The US base salary range for this full-time position is 120,800.00 USD - 151,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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

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.

Why Join Us? Be a hero for our rare disease patients At Ultragenyx, we fundamentally believe that taking real impactful action to care for the needs of patients and our people is always the right thing to do. To achieve this goal, our vision is to lead the future of rare disease medicine. For us, this means going where other biopharma companies won’t go – challenging the status quo and creating a new model that advances our field so more patients and caregivers can benefit from life-changing treatments. We do this by following the science, applying a novel rapid development approach, making innovative medicines at fair and reasonable prices, and creating a collaborative ecosystem to reach patients in ways that are most meaningful for them. Our commitment and care for patients extends to our people, so culture is an essential cornerstone for Ultragenyx. We remain continuously focused on creating a supportive and inclusive environment of profound learning and growth – so employees can thrive in all areas of their lives, in and outside of work. Ultimately, we want to be an organization where we would be proud for our family, friends and children to work. If you want to have a meaningful impact, do the best work of your career, and grow a lot, both professionally and personally, come join our team . Position Summary: ultra focused – Work together to fearlessly uncover new possibilities Th e Sr Data Scientist, Manufacturing Science and Technology (MSAT) will provide technical leadership to support both early- and late-stage AAV GMP manufacturing at internal and contract gene therapy facilities. Reporting to the Sr. Director of MSAT, this role will focus on developing data management solutions to enable monitoring the ongoing GMP production and drive process improvements for future lifecycle management. The ideal candidate will bring a strong foundation in biologics/AAV process knowledge combined with statistical expertise . Success in this role requires a high degree of professionalism, cross-functional collaboration, and an innovative mindset. Work Model: Core Lab & Ops: This role typically requires that the majority of the work be conducted on-site. Responsibilities: Build and implement the Continued Process Verification (CPV) framework for AAV programs, including online/offline data management solutions, data integrity verification process, statistical tools and predictive models to monitor and improve batch performance. Establish and oversee systems for data collection, monitoring, and analysis systems for early and late-stage programs, ensuring compliance with 21 CFR Part 11 and alignment with regulatory expectations. Develop and apply advanced statistical data modeling approaches (e.g., multivariate analysis, regression, machine learning techniques) to enable predictive modeling, deviation investigations and continuous improvement. Support data review and report writing with data trending and statistical models, for proactively actionable recommendations Support deviation investigations and tech transfer activities by leveraging statistical expertise to analyze historical data, and to set or revise in-process control limits. Lead initiatives to develop platform process models (HEK vs. HeLa) across multiple GMP manufacturing sites to support proactive process monitoring; stay current with the AAV manufacturing technology innovations, and support implementation of process improvements for life cycle management. Collaborate with Global CMC Development, external CDMOs, Manufacturing, Quality Assurance, Quality Control, and other stakeholders to enable robust CPV strategy execution. Contribute to regulatory filings by authoring CPV-related content, responding to agency inquiries, and authoring sections of briefing books and submissions. Author and maintain technical documentation, including CPV protocols and reports, statistical models, SOPs for data management, and lifecycle management protocols and reports. Requirements: Master’s degree in Virology, Molecular Biology, Genetics, Biochemistry, Chemical Engineering, Bioinformatics, Biostatistics or an equivalent discipline preferred 5+ years in biopharma industry. Biologics, Gene / Cell therapy experience preferred Understanding of biologics/AAV manufacturing process is required and experience in manufacturing technical support, process development, and/or MSAT roles is preferred Demonstrated experience in data management, process modeling, and predictive analytics, preferred with GMP environment Proficiency in biostatistics and data management tools (e.g., DOE, multivariate analysis, regression, Python/R/SAS). Experience with regulatory filing is a plus Proven ability to deliver results successfully, collaborating with multi-cultural and geographically diverse teams Demonstrated ability to work in a team and in a fast-paced environment. Proven ability to independently manage multiple competing priorities, while working on multiple projects simultaneously Excellent communication and presentation skills May require up to 15% travel when necessary. #LI-CK1 #LI-Onsite The typical annual salary range for this full-time position is listed below. This range reflects the characteristics of the job, such as required skills and qualifications and is based on the office location noted in this job posting. The range may also be adjusted based on applicant's geographic location. This position is eligible for annual bonus and equity incentives. Actual individual pay is determined by demonstrated experience and internal equity alignment. Pay Range $169,200 — $209,000 USD Full Time employees across the globe enjoy a range of benefits, including, but not limited to: · Generous vacation time and public holidays observed by the company · Volunteer days · Long term incentive and Employee stock purchase plans or equivalent offerings · Employee wellbeing benefits · Fitness reimbursement · Tuition sponsoring · Professional development plans * Benefits vary by region and country Ultragenyx Pharmaceutical is an equal opportunity employer and prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital and veteran status, and any other status or classification protected by applicable federal, state, and/or local laws. Reasonable accommodation will be provided for all protected statuses or classifications protected by applicable law, including individuals with disabilities, disabled veterans, for pregnancy, childbirth, and related medical conditions, and based on sincerely held religious beliefs. Applicants can request an accommodation prior to accepting a job offer. If you require reasonable accommodation in completing this application, or in any part of the recruitment process, you may contact Talent Acquisition by emailing us at talentacquisition@ultragenyx.com . See our CCPA Employee and Applicant Privacy Notice . See our Privacy Policy . It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Note to External Recruiters : All candidate activity and open positions are managed strictly through our Human Resources Department. Our Human Resources Department kindly requests that recruiters not contact employees/hiring managers directly in an attempt to solicit business and present candidates. Please note that failure to comply with this request will be a factor in determining a professional relationship with our organization. Submission of unsolicited resumes prior to an agreement set in place between the Human Resources Department and the recruiting agency will not create any implied obligation. Inquiries on developing a recruiting relationship with us, may be directed to : talentacquisition@ultragenyx.com .

MediaAlpha is a customer acquisition solutions provider powered by technology and data science. The company provides industry-leading solutions designed to reach consumers shopping within high-consideration categories such as property and casualty insurance, health insurance, life insurance, and more. Hybrid: Tuesday & Wednesday in-office We’re looking for a Data Science Manager to lead a high-impact team solving the most critical and complex problems across our marketplace. You’ll partner closely with product, engineering, and executive leadership to set vision and strategy for data science initiatives, ensuring that our models and insights directly drive business growth and efficiency. This is a hands-on leadership role — ideal for someone who thrives on solving tough problems while building and mentoring a high-performing team. Responsibilities Lead, manage, and grow a team of Data Scientists, providing coaching, career development, and performance feedback. Architect and productionize advanced ML/AI solutions across our marketplace with your team. Improve how we approach real-time auction pricing and LTV-driven bid optimization through scalable, data-driven solutions. Master the MediaAlpha platform and collaborate with engineering to enhance our platform’s analytical capabilities and build new data products. Own the end-to-end lifecycle of key initiatives, from ideation to deployment and iteration. Requirements 10+ years of experience in Data Science, Analytics, or a related field, with at least 3 years managing or leading data science teams Bachelor's degree required, preferably in a quantitative discipline (e.g., economics, business, finance, math, engineering, statistics) or equivalent experience Proven experience leading cross-functional projects and working cross collaboratively with tech/engineering teams Demonstrated success deploying impactful code (e.g., predictive models, date pipelines, algorithms) to production environments with quantifiable business impact Expertise in applying statistical techniques to real-world business problems (e.g. designing tests/experiments and evaluating results) Proven track record of training and mentoring data scientists Advanced in Python and SQL Exceptional analytical skills and ability to synthesize large and disparate data sets Capacity to think critically and creatively, uncover problems, and propose solutions Excellent written and verbal communication skills Self-starter who takes initiative on all projects and strives to build and improve upon existing processes Preferred Qualifications Experience with search, display, performance, and/or digital marketing Experience with real-time bidding Experience with R Shiny and Shiny Server Experience with Airflow Compensation & Benefits We are excited to offer a competitive base pay range of $133,000 to $247,000 per year for this position, based on experience and qualifications. But that's not all - as a valued member of our team, you will also have access to an array of top-notch benefits, including: Annual bonus program and participation in our Restricted Stock Unit program 100% Employer-paid health, dental, and vision insurance for you, your dependents, and spouse or registered domestic partner 100% Employer paid long term disability, and life insurance 401(k) retirement plan with matching contributions to help you plan for your future Open Paid Time Off policy with a birthday day off and 11 holidays Professional development reimbursement Cell Phone, Wellness, and Internet expense reimbursement, along with a subscription to the Calm App 100% fully paid parental leave for team members up to 22 weeks for the primary caregiver and 12 weeks for the secondary caregiver Dog-friendly offices (LA and AZ) along with a $300 pet adoption reimbursement Diversity, Equity, and Inclusion MediaAlpha is committed to fostering, cultivating, and maintaining a culture of diversity, equity, and inclusion. Our philosophy and actions are built on the premise that as an employer and citizens of our communities, we can create opportunities for lasting change. Fair Chance MediaAlpha will consider qualified applicants, including those with criminal histories, in a manner consistent with state and local "Fair Chance" laws. We are also committed to providing reasonable accommodations for qualified applicants with disabilities and disabled veterans in our application process. If you need assistance or an accommodation due to a disability, please contact us at peopleops@mediaalpha.com or (213) 316-6256.

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.