Data & Media Science Manager

About Formation Bio Formation Bio is a pharmaceutical company focused on improving drug development through technology and artificial intelligence. Since its founding in 2016 as TrialSpark Inc., the company has built technology platforms and processes that help move drug candidates through clinical trials faster and more efficiently. Formation Bio works with…

As the Director of Data and Media Science at Known, you will be at the forefront of leveraging data analytics to drive impactful media strategies. You will lead a team of data scientists and analysts, fostering innovation and collaboration to enhance our data-driven decision-making processes. Your strategic vision will guide the application of cutting-edge technologies and methodologies to optimize media performance and achieve client objectives.

Join Jellyfish Careers as the Director of Data Science, where you will play a pivotal role in leading a talented team of data scientists. You will be responsible for shaping our data strategy and driving data-driven decision-making across the organization. This is an exceptional opportunity to elevate our analytics capabilities and deliver innovative solutions to our clients.

Join TWG Group Holdings, LLC (TWG Global), where we spearhead innovation and business evolution across diverse sectors—ranging from financial services and insurance to technology, media, and sports—by utilizing data and AI as pivotal assets. Our AI-driven, cloud-native methodology provides real-time insights and interactive business applications, empowering both customers and employees to make informed decisions.At TWG Global, we are committed to responsible data and AI practices, upholding ethical standards and adhering to regulatory compliance. Our decentralized organizational structure allows each unit to operate independently while being supported by a central AI Solutions Group. Strategic alliances with premier data and AI service providers bolster transformative initiatives in marketing, operations, and product development.In this role, you will engage with management to propel our data and analytics transformation, boost productivity, and facilitate agile, data-informed decisions. By leveraging our connections with leading technology startups and academic institutions, you will help cultivate competitive advantages and drive enterprise innovation.Your contributions will be vital in achieving sustained growth and exceptional returns, delivering unique value and impact throughout our organization.Position OverviewAs the Executive Director of the AI Science team, you will spearhead the design and implementation of high-impact AI and data science projects that significantly enhance TWG Global’s competitive edge. Reporting to the Managing Director of AI & Data, you will serve as a senior technical authority—leading enterprise-critical initiatives, establishing technical direction, and mentoring a dedicated team of data scientists.Close collaboration with senior executives across the firm is essential to ensure that data science solutions align with strategic objectives, fostering the adoption of advanced AI methodologies in a responsible and scalable manner. This position demands profound technical expertise, the ability to influence decision-makers, and a track record of delivering measurable enterprise-level outcomes.Key Responsibilities: Lead the execution of flagship AI/ML projects that deliver measurable value across financial services and related sectors.Serve as the senior technical authority on advanced AI techniques including generative AI, causal inference, LLM-based analytics, RAG, and simulation.Transform complex business challenges into enterprise-level data science solutions that yield tangible ROI.Mentor and guide a select team of data scientists, promoting technical excellence, rigor, and responsible AI practices.Collaborate with business leaders, Managing Directors, and executive committees to ensure AI initiatives are aligned with overall firm priorities.Represent TWG Global in external technical forums and partnerships with universities, regulators, and technology leaders.

Role overview The Director of Data Science and Governance shapes how New York City departments use data to improve public services. This leadership role guides citywide efforts in transparency, efficiency, and informed decision-making by advancing data science and governance practices across agencies. Key responsibilities Lead strategic projects that apply data science to city operations Develop and oversee frameworks for data governance Work with departments to design solutions supporting transparency and efficiency Promote data-driven approaches to enhance services for New Yorkers Location The position is based in New York City.

Join our dynamic team as the Director of Data Science Analytics & Integration, where you will lead innovative projects that harness the power of data to drive strategic decision-making and enhance operational efficiency. In this pivotal role, you will oversee the development and deployment of cutting-edge analytics solutions, guiding a team of talented data professionals to deliver actionable insights across various sectors.As a key leader, you will collaborate closely with cross-functional teams to integrate data-driven strategies into business processes, ensuring alignment with organizational goals. Your expertise in data science methodologies and tools will empower you to mentor staff, fostering a culture of continuous improvement and innovation.

About Avalere HealthAt Avalere Health, we are driven by a singular mission: to reach EVERY PATIENT POSSIBLE. Our commitment is to identify, treat, support, and care for each patient equally. Our Advisory, Medical, and Marketing teams unite to cultivate innovative connections, paving the way for a healthcare landscape where access is universal and no patient is overlooked. To fulfill our mission, we offer enriching and purpose-driven career paths that empower our team to make a meaningful difference in patient lives. We are dedicated to fostering a culture that encourages our employees to express their authentic selves at work, leveraging diverse backgrounds and skills to contribute to our overarching goal of enhancing healthcare for everyone, everywhere. Our flexible work model allows our global teams to choose their working environment, whether in an office or remotely, based on the needs of the team and our clients. Our major hubs in London, Manchester, Washington, D.C., and New York serve as collaboration centers, enabling our teams to come together when necessary. Remote employees are equally supported with dedicated social opportunities and resources. Our inclusive culture is fundamental to our operations. We encourage our employees to bring their full selves to work through our six Employee Network Groups: Diverse Ability, Family, Gender, LGBTQ+, Mental Health, and Race/Ethnicity. These groups foster diversity, equity, and inclusion, offering opportunities to connect, learn, and socialize through regular meetings and activities. We are also an accredited Fertility Friendly employer, providing enhanced parental leave and a flexible culture to support all employees throughout their family planning journeys. Investing in our employees’ professional growth is a priority, with ongoing career development opportunities, access to thousands of on-demand training sessions, regular career discussions, and the chance for global career moves across various capabilities.We take pride in being part of the Disability Confident Scheme, ensuring fair interview processes for candidates with disabilities, long-term health conditions, or neurodiversity. If you wish to apply and require any accommodations, please inform us in your application.

DeepIntent combines data science, real-world clinical data, and strategic advertising to advance healthcare advertising. The company’s mission is to improve patient outcomes through data-driven solutions. More information is available at www.DeepIntent.com. Role overview The Director of Data Science leads global initiatives that shape DeepIntent’s healthcare advertising technology. This leader manages a distributed team working on advanced modeling, optimization, and AI projects. The team supports healthcare marketers in connecting patients, providers, and brands with care and efficiency. This position is responsible for driving predictive and privacy-compliant insights for precision marketing and measurable results. The Director collaborates with product, engineering, and commercial teams to deliver scalable, data-centric solutions, and oversees data scientists based in the U.S., Europe, and India. Leadership and strategy Partner with executive and cross-functional leaders to turn data science capabilities into scalable, compliant, and commercially valuable solutions. Implement the global data science roadmap to advance DeepIntent’s mission in healthcare marketing. Mentor and lead a geographically distributed team of data scientists across multiple regions. Encourage a culture that values innovation, experimentation, and collaboration. Contribute to strategic planning and identify opportunities where advanced analytics and AI can improve business outcomes. Healthcare-focused data science and AI Design and refine predictive and causal models for patient and provider outreach, audience segmentation, and campaign performance analysis. Oversee development and deployment of machine learning models for real-time bidding, healthcare audience modeling, and privacy-first identity resolution. Integrate real-world data, claims data, and digital engagement signals into scalable machine learning frameworks. Ensure all models and data science methods comply with healthcare privacy standards, including HIPAA and other global regulations. Location New York, New York

As the Director of Actuarial Data Science for North America at akur8, you will lead a dynamic team in transforming the insurance industry through innovative data solutions. Your expertise will drive the integration of advanced analytics and actuarial science to enhance our data-driven decision-making processes.

Role Overview DoorDash is hiring a Data Science Manager to lead a team of data scientists working on projects that use data to improve DoorDash’s services. This role involves managing team members, setting direction for analytical model development, and shaping strategies that influence decisions across the company. What You Will Do Oversee and mentor a team of data scientists Guide the development of analytical models and data-driven strategies Work with teams from different departments to spot opportunities for improvement Deliver insights that help DoorDash connect people with top local options Locations San Francisco, CA Sunnyvale, CA Seattle, WA New York, NY Chicago, IL Austin, TX

Who we are:Burson, a proud member of WPP, stands at the forefront of global communications, dedicated to delivering value for clients through reputation management. Our team comprises industry experts equipped with cutting-edge technologies and innovative creative strategies, enabling brands to redefine their reputations as a competitive edge. Joining Burson means becoming part of a vibrant global community of lifelong learners who thrive in a culture of innovation.WPP (LSE/NYSE: WPP) serves as the trusted growth partner for some of the world’s leading brands. We integrate state-of-the-art media intelligence and data solutions, unparalleled creativity, next-gen production capabilities, transformative enterprise solutions, and expert strategic guidance within a single entity—powered by exceptional talent and our advanced marketing platform, WPP Open. Our mission is to assist clients in navigating change, seizing opportunities, and achieving transformative growth. Explore more at WPP.com.For further details, visit bursonglobal.com and connect with us on LinkedIn and Instagram.More about the role:We are in search of a proactive Director of Data Science & Predictive Architecture to spearhead advanced data initiatives, including dashboarding and AI-driven projects. This position merges profound technical knowledge with client-facing leadership, fostering scalable analytics solutions that convert intricate data into actionable insights and substantial business impact.Your responsibilities will include:Overseeing the comprehensive delivery of advanced data science and engineering projects, ensuring adherence to scope, timelines, and budgetary constraints.Acting as a senior, client-facing leader—translating intricate technical insights into clear, strategic business recommendations.Designing and implementing predictive models, including time series analysis, Marketing Mix Modeling (MMM), and machine learning solutions.Creating scalable data architectures, AI-enabled infrastructures, and production-ready analytics solutions.Integrating predictive outputs into user-friendly client dashboards and tools.Maintaining analytical rigor, data integrity, and compliance across all projects.Mentoring and developing team members; leading code reviews and establishing best practices.Promoting responsible and effective AI usage throughout analytics workflows.Qualifications necessary for success:Proven expertise in data science, predictive analytics, and AI technologies.Strong leadership skills with a focus on client engagement and communication.Experience in designing and deploying predictive models and data infrastructures.Exceptional problem-solving abilities and a passion for innovation.

Stripe builds financial infrastructure that powers businesses of every size, from startups to global enterprises. The platform supports millions of companies as they accept payments, grow revenue, and pursue new opportunities. Stripe’s mission centers on expanding the online economy and increasing economic access for all. The Growth Data Science team partners with product and engineering leaders to help businesses launch and grow on Stripe. This group focuses on improving user journeys, beginning with first awareness and continuing through acquisition, adoption, expansion, and retention. The team is recognized for expertise in experimentation, advanced causal analysis, and a deep understanding of user behavior. Collaboration spans Product, Engineering, Sales, Marketing, Developer Platform, Support, and Risk teams. Role overview The Data Science Manager, Growth, guides the team’s direction and impact. This leader contributes directly to modeling and design, while also coaching and developing data scientists. The role requires a strong focus on users, technical depth, and the ability to communicate clearly with both technical and non-technical partners, including senior leadership. Key responsibilities Define the roadmap and priorities for the Growth Data Science team in partnership with Stripe leaders, supporting data-driven decision-making. Collaborate with stakeholders in engineering, analytics, operations, finance, and marketing. Manage and improve processes to ensure the team delivers high-quality work and remains connected to the broader Stripe community. Lead and mentor a team of data scientists, supporting their technical growth and career development. Work with recruiting to hire and onboard new data science talent. Participate in broader data science initiatives as part of Stripe’s management team. Location This position is based in Seattle, WA; New York, NY; or can be remote within North America.

Role Overview Mercury is hiring a Senior Data Science Manager to guide key data initiatives as the company continues to grow. This role leads a skilled team of data scientists, applying advanced analytics to uncover insights that shape strategy and improve how the business operates. What You Will Do Lead and mentor a team of data scientists Use analytics to inform strategic decisions and drive operational improvements Work with teams across the company to find ways data can strengthen products and services Location This position is open to candidates based in San Francisco, CA; New York, NY; Portland, OR; or remote within Canada or the United States.

Duolingo, Inc. is working to make high-quality education available to everyone, everywhere. The team supports more than half a billion learners worldwide. As Director of Data Science and Analytics for User Growth in New York, NY, expect to work on projects that shape how people learn. The group values creative problem-solving, experimentation, and collaboration. Team members learn from each other and from leaders in the field.

Role Overview ion seeks a Director of Data & AI Practice based in New York. This leader shapes data and AI strategies, turning insights into practical results. The role oversees the creation and rollout of AI solutions, while encouraging a culture where decisions rely on data. What You Will Do Oversee the development and implementation of AI projects that support company goals Lead and mentor a team of data scientists and AI specialists Work with teams across the business to spot new ways data and AI can improve performance Promote data-driven decision-making throughout the organization Who We’re Looking For Proven experience guiding data and AI initiatives at a senior level Strong leadership skills with a track record of managing technical teams Ability to translate complex insights into clear, actionable plans Comfort working with cross-functional partners to advance strategic objectives

As a Client Director specializing in Life Sciences, you will spearhead new business initiatives for ServiceNow's largest existing accounts. Your role will encompass overseeing executive relationship management for assigned accounts while leading virtual teams that include Solution Sales, Solution Consulting, Support, and Professional Services. Your mission is to provide exceptional support to our most valued clients.Key Responsibilities:Deliver strategic leadership and direction to clients, ensuring alignment with their goals.Act as the primary relationship manager between customers and ServiceNow.Collaborate with various ServiceNow solution teams to tailor solutions that drive the customer's strategic outcomes.Manage executive relationships with assigned clients, fostering trust and transparency.Oversee the global development of assigned accounts, ensuring effective deployment of worldwide resources.Cultivate deep, multi-tiered relationships within client organizations, from IT teams to CxO levels.Craft a clear roadmap for building capabilities that enhance the customer experience across both clients and ServiceNow teams.Meet and exceed financial targets set for assigned clients, covering Licenses, Renewals, and Professional Services.

Oscar Health is hiring a Senior Manager of Data Science to join the Data Team in New York City. Role Overview The Senior Manager of Data Science leads a team of data scientists and analysts, connecting data insights with business needs. This position partners closely with Sales, Marketing, and Strategic Finance to refine and advance Oscar's growth strategies. Key projects include modeling growth funnels, building predictive models for customer churn, and ensuring that market analysis supports Oscar’s overall goals. This role reports to the Director of Data Science. Work Location This is a hybrid position based in Oscar Health’s New York City office. In-person attendance is required three days each week. Thursdays are mandatory for team meetings and events. The other two in-office days are flexible. Compensation and Benefits Base salary: $180,504 to $236,911.50 per year Comprehensive benefits package Unlimited vacation program Company equity grants Annual performance bonuses About Oscar Health Founded in 2012, Oscar Health is building a technology-driven health insurance experience focused on personal, supportive care for its members.

At StubHub, we are dedicated to transforming the live event experience on a global scale. Our mission is to ensure that whether someone is attending their first event or their hundredth, we provide unmatched delight from the moment they start searching for tickets until they step through the gate. We equally prioritize our sellers, from fans offering a single ticket to promoters of worldwide stadium tours, making StubHub the safest and most convenient platform for millions of fans across the globe.The Data Science team, a vital part of the broader StubHub Data organization, is seeking a seasoned and dynamic Data Science Manager to lead a growing team (currently consisting of 6 members, spanning from entry-level data scientists to senior staff) across diverse data science disciplines.As the largest secondary ticketing marketplace worldwide, StubHub generates vast amounts of consumer data, which we utilize to address unique and compelling predictive and inferential challenges in user acquisition, product recommendations, pricing optimization, ticket fulfillment mitigation, and business forecasting. In your role as Data Science Manager, you will collaborate closely with business leaders to translate their long-term strategic goals into actionable machine learning projects executed by your team on a daily basis. Your ability to provide technical oversight while fostering individual growth will be crucial to your team's long-term success.Your responsibilities will also encompass the technical and personal development of your team members, enhancing talent density through targeted mentorship, strategic career development, and excellence in execution. You will need to plan for team structure and growth as we invest more in machine learning, particularly in understanding optimal methods for building and applying generative AI solutions within our products.Joining at a pivotal moment for the Data Science practice and the company, you will play an essential role in shaping our future. While the value of this discipline is well-established and we have a high-performing team in place, we are not at a steady state. Key investment areas include establishing new depths of technical expertise (e.g., causal inference, graph ML), advocating for top-tier ML tools/platforms, and broadening the integration of data science across the organization. As a senior leader in this team, you will be instrumental in shaping and realizing this vision.

Join headway as a Senior Manager of Data Science specializing in Finance & Accounting. In this pivotal role, you will lead a team of data scientists to develop innovative analytics solutions that empower decision-making and drive efficiency across financial operations. You will harness advanced data modeling techniques to analyze financial data and implement data-driven strategies that optimize performance.As a leader, you will mentor junior data scientists, fostering a culture of continuous learning and improvement while collaborating with cross-functional teams to align data science initiatives with business goals.