Data Science Engineer - Build Scalable ML for Impact

DraftKings Inc.; Boston (MA); On-site; USD 120,000 - 170,000; Full time

Job summary

DraftKings Inc. is seeking a Data Science Engineer to turn large, complex datasets into scalable, production-ready solutions that power its platforms. You will collaborate with ML engineers and cross-functional partners to drive data-driven features and impact strategic decisions.

You’ll analyze data, build models, and help deploy and monitor solutions in production, strengthening your technical foundation while delivering measurable value to customers.

Qualifications

• Bachelor's degree in Data Science, CS, Engineering, Mathematics, or related field.
• At least 1 year of professional experience in Data Science or ML.
• Proficiency in Python and data libraries (pandas, NumPy, PySpark).
• Ability to translate business problems into technical solutions for stakeholders.

Responsibilities

• Analyze large, complex datasets to uncover insights and deliver actionable recommendations.
• Design, develop, and evaluate quantitative models using machine learning and advanced analytics techniques.
• Build and optimize scalable data pipelines and algorithmic engines that power product features.
• Partner with Machine Learning engineers and cross-functional stakeholders to translate business needs into data-driven solutions.
• Contribute to model deployment, performance monitoring, and continuous improvement in production environments.

Skills

Python

SQL

Pandas

NumPy

PySpark

Machine Learning

Data Visualization

Communication

Education

Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, or related field

Job description

DraftKings Inc. is seeking a Data Science Engineer to turn large, complex datasets into scalable, production-ready solutions that power its platforms. You will collaborate with ML engineers and cross-functional partners to drive data-driven features and impact strategic decisions.

You’ll analyze data, build models, and help deploy and monitor solutions in production, strengthening your technical foundation while delivering measurable value to customers.