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.
As an Analyst I on the Predictive Customer Modeling team, you’ll help shape the future of customer insights by building models that forecast behavior and drive smarter decision-making. You’ll dive into data to uncover patterns, power revenue-driving strategies, and help cross-functional teams bring these models to life. From optimizing promotional impact to guiding cross-sell strategies, you’ll play a pivotal role in making our customer experience more intelligent, predictive, and personalized.
Build and deploy predictive models that forecast customer behavior and drive revenue outcomes.
Translate complex model outputs into scalable solutions that teams across DraftKings can activate.
Partner with Data Science and Data Engineering to apply best-in-class practices using tools like Databricks, Airflow, and Bitbucket.
Use data and industry insights to uncover growth opportunities and elevate our modeling strategy.
Create automated tools, analyses, and Tableau dashboards that measure and communicate product and promotion performance.
Analyze customer retention and gameplay trends to inform marketing investments and vertical strategies.
Lead deep-dive analyses and cross-functional partnerships to turn insights into action across the business.
Bachelor’s degree or equivalent in Mathematics, Statistics, Economics, Computer Science, Engineering, Business Analytics, or another relevant discipline.
At least 1 year of experience in business analytics or data science.
Practical experience with SQL/Snowflake and Tableau. Python/R experience is a plus.
Exposure to data science principles, including machine learning, regression and classification techniques, and model evaluation, as well as familiarity with tools like Databricks, Airflow, XGBoost and Bitbucket, is a plus.
Knowledge of A/B testing, experimental design, and hypothesis testing methods.
Curiosity to learn about a complex business and a desire to grow as an analyst.
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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 64,000.00 USD - 80,000.00 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.If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
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