Fintech Data Science Engineer

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

About the Team
The Fintech Data Science team builds intelligent systems that power DK’s financial trust and risk decisioning ecosystem. Our mission is to deliver real-time, explainable, and automated risk decisions that protect our customers and safeguard the business from fraud and payment risk. You’ll contribute to DK’s first agentic AI system, built to help Risk Operations analysts act faster on alerts by summarizing behaviors, recommending next steps, and ultimately taking autonomous actions under human supervision. As an L10 Data Science Engineer, you’ll help design and deliver scalable ML systems that turn cutting-edge research prototypes into robust, production-grade solutions used daily by our operations teams.

What You’ll Do

• Design, implement, and test AI agents that enable intelligent decisioning and automation.

• Build and maintain data pipelines and model services using Python and Databricks for both batch and real-time decisioning.

• Develop core components for data preprocessing, feature engineering, and model monitoring.

• Partner with senior engineers to design feedback loops that let systems continuously learn from analyst ratings and real-world outcomes.

• Write clean, well-documented, and testable Python code aligned with DK’s engineering standards.

• Collaborate cross-functionally with Risk Operations, Product, and Engineering teams to understand workflows, improve usability, and ensure high system adoption.

• Enhance system reliability and performance by identifying bottlenecks, optimizing pipelines, and scaling key components.

What You’ll Bring

• Academic or internship experience in machine learning, data science, and/or software engineering.

• Strong proficiency in Python, with experience building ML and data pipelines.

• Proficiency in SQL and experience with complex data manipulation.

• Understanding of the model lifecycle, including validation, deployment, retraining, and monitoring.

• Familiarity with ML Ops tools such as MLflow, Airflow, or Databricks Workflows (a plus).

• Experience or exposure to Databricks, Spark, or other distributed data processing frameworks (a plus).

• Exposure to agentic or LLM-based systems (e.g., LangChain, OpenAI APIs, or vector databases); understanding of prompt design, evaluation, and safety mechanisms for LLMs is a plus.

• Eagerness to work in a fast-paced, experimental environment exploring next-generation agentic and generative AI applications.

• A growth mindset and strong ability to collaborate in a diverse, cross-functional team environment.

• Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field (Master’s degree a plus).

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 104,000.00 USD - 130,000.00 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.