Senior Lead Data Science Engineer, Risk
Description For Senior Lead Data Science Engineer, Risk
DraftKings, a leading digital sports entertainment and gaming company (NASDAQ: DKNG), is seeking a Senior Lead Data Science Engineer to join their Risk team in Boston. This role sits at the intersection of data science, engineering, and risk management, focusing on developing innovative solutions to protect the platform and its users.
The position requires an experienced professional who will lead the development and implementation of machine learning systems for fraud detection and risk management. You'll be working with a team of algorithm experts and data science technologists, directly influencing revenue, customer trust, and regulatory compliance.
As a Senior Lead, you'll be responsible for orchestrating end-to-end ML lifecycle planning, designing scalable pipelines, and setting the technical vision for the team. The role involves deep statistical reasoning to detect and counter evolving fraud patterns, where you'll need to develop solutions that are both mathematically grounded and resistant to adversarial manipulation.
The ideal candidate brings 8+ years of engineering experience, with at least 5 years focused on ML/AI systems at scale. You should have expert-level Python skills, experience with modern ML infrastructure (including Kubernetes, Kafka, and MLflow), and a proven track record of mentoring technical leads. A Master's or PhD in a relevant field is preferred.
DraftKings offers a competitive compensation package ranging from $160,000 to $200,000 USD, plus bonus, equity, and benefits. The company's Boston headquarters provides an exciting environment where you'll work on cutting-edge problems in the sports betting and gaming industry, while ensuring responsible gaming practices.
This role offers an unique opportunity to impact the future of online gaming security while working with advanced technologies and leading cross-functional teams. You'll be part of a publicly traded company that's defining the future of sports entertainment, making it an excellent choice for those interested in the intersection of data science, risk management, and gaming technology.
Responsibilities For Senior Lead Data Science Engineer, Risk
- Apply deep statistical reasoning and analytical creativity to detect, model, and counter evolving fraud patterns
- Orchestrate end-to-end ML lifecycle planning across teams
- Design and implement scalable ML pipelines for real-time and batch environments
- Lead cross-functional technical strategy in ML systems for fraud detection
- Set architectural and technical vision across teams
- Drive process innovation in model development and evaluation
- Break down large initiatives into multi-team plans
- Mentor senior engineers and technical leads
Requirements For Senior Lead Data Science Engineer, Risk
- 8+ years of engineering experience including 5+ years building ML/AI systems at scale
- Deep mastery of applied machine learning and statistical modeling
- Exceptional critical thinking skills for designing robust models in adversarial settings
- Expert-level Python skills
- Hands-on experience with modern ML infrastructure
- Track record of mentoring leads
- Executive-level communication and influence
- Master's or PhD in Computer Science, Statistics, or Mathematics preferred
Benefits For Senior Lead Data Science Engineer, Risk
- Bonus
- Equity
- Benefits package
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