Lead end-to-end machine learning projects to improve customer engagement and retention. Build, test, and deploy models for user forecasting, personalization, and Casino engagement. Partner cross-functionally to scale solutions, mentor junior data scientists, and communicate model impact to influence product and marketing strategy.
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
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 Science 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 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.
The Crown Is Yours
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 Science 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.
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.
DraftKings Hoboken, New Jersey, USA Office
111 River Street, Floor 12, Hoboken, NJ, United States, 07030
DraftKings New York, New York, USA Office
In the Big Apple, our office in the heart of downtown Manhattan is the place to be. In the city that never sleeps, we keep the DraftKings engine running.
Similar Jobs at DraftKings
Digital Media • Gaming • Information Technology • Software • Sports • Esports • Big Data Analytics
Lead strategy and execution of a connected talent management ecosystem, integrating performance, development, mobility, and succession. Drive talent reviews, workforce planning, AI-enabled talent insights, and partner across People functions to strengthen leadership readiness and organizational capability.
Top Skills:
AIHrisPeople AnalyticsTalent Intelligence
Digital Media • Gaming • Information Technology • Software • Sports • Esports • Big Data Analytics
Lead architecture, development, and operation of scalable, secure backend systems and APIs for real-time, high-traffic applications. Own full lifecycle from design through production, enforce engineering best practices, mentor engineers, and drive reliability, performance, and cross-functional alignment.
Top Skills:
APIsAutomated Testing (UnitAWSC#Distributed SystemsGoogle Cloud PlatformIntegrationJavaPerformance)
Digital Media • Gaming • Information Technology • Software • Sports • Esports • Big Data Analytics
The Senior Machine Learning Engineer will design and deploy scalable machine learning models, optimize performance, and lead best practices while collaborating with cross-functional teams.
Top Skills:
DatabricksKubernetesPythonTerraform
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

