Similar Jobs at DraftKings
Digital Media • Gaming • Information Technology • Software • Sports • Esports • Big Data Analytics
As a Growth Marketing Senior Associate, you will drive digital marketing campaigns, optimize user acquisition, collaborate across teams, and analyze performance using data-driven insights.
Top Skills:
Digital MarketingExcelPaid SearchPaid SocialProgrammaticSQL
Digital Media • Gaming • Information Technology • Software • Sports • Esports • Big Data Analytics
The Senior Knowledge Management Analyst leads the transformation of People knowledge into AI-powered experiences, optimizing knowledge content, enhancing employee interactions, and streamlining processes for better service delivery.
Top Skills:
Ai-Powered ToolsKnowledge Management SystemsSearch Optimization ToolsServicenow Human Resources Service Delivery
Digital Media • Gaming • Information Technology • Software • Sports • Esports • Big Data Analytics
As a Manager of Delivery Management, you will lead product development, manage teams, solve operational challenges, and coordinate cross-functional initiatives to ensure timely delivery of features.
Top Skills:
AIAirtableClaudeConfluenceGoogle SuitesJIRAN8N
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
As a Senior Data Scientist Engineer, you'll join a high-impact team solving some of the most complex analytical challenges in sports and entertainment. You'll work closely with machine learning engineers to develop new product capabilities and uncover insights from massive datasets using our advanced infrastructure. In this role, you'll apply advanced analytics and machine learning to create innovative solutions that drive business outcomes and shape the future of our products.
What You'll Do:
What You'll Bring:
#LI-EN1
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 Crown Is Yours
As a Senior Data Scientist Engineer, you'll join a high-impact team solving some of the most complex analytical challenges in sports and entertainment. You'll work closely with machine learning engineers to develop new product capabilities and uncover insights from massive datasets using our advanced infrastructure. In this role, you'll apply advanced analytics and machine learning to create innovative solutions that drive business outcomes and shape the future of our products.
What You'll Do:
- Lead end-to-end modeling projects to improve customer engagement and retention, from ideation to production deployment.
- Build, test, and optimize machine learning models to forecast user behavior, personalize promotions, and enhance Casino product engagement.
- Partner with engineers, analysts, product managers, and marketers to translate insights into scalable solutions embedded within customer-facing systems.
- Mentor junior data scientists and share modeling and engineering best practices across the team.
- Clearly communicate findings and the impact of your models to stakeholders to influence product and marketing strategy.
What You'll Bring:
- Bachelor's degree or advanced degree in Data Science, Computer Science, Statistics, or related discipline
- Proven experience applying machine learning and statistical modeling to solve real-world business problems, ideally in marketing or customer lifecycle contexts.
- Strong proficiency in Python (or R) and experience working with large datasets using SQL and distributed computing platforms.
- Ability to independently structure and execute data science projects and deliver business value through production-ready models.
- Excellent communication and collaboration skills to work effectively across technical and non-technical teams.
#LI-EN1
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.
DraftKings Boston, Massachusetts, USA Office
Our Boston Headquarters is in the heart of Back Bay, conveniently located near multiple public transit routes. There are countless options for coffee, food, and drinks nearby. Plus, we're just minutes away from the historic Fenway Park.
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

