onsite
Associate Data Scientist - PrizePicks
Data Scientist
Entry‑level data scientist role focused on building predictive models and analytics pipelines for a fast‑growing daily fantasy sports platform, leveraging Python, SQL, and cloud services.
About the role
Key Responsibilities
- Develop and maintain machine‑learning models to predict player performance and user engagement across multiple sports leagues.
- Design, implement, and optimize data pipelines using Python and SQL to ingest, clean, and transform large‑scale sports and betting datasets.
- Collaborate with product and engineering teams to translate business requirements into analytical solutions and data‑driven features.
- Create clear visualizations and dashboards that communicate insights to stakeholders and support decision‑making.
- Monitor model performance in production, perform A/B testing, and iterate to improve accuracy and scalability.
Requirements
- Bachelor's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Proficiency in Python (pandas, scikit‑learn, PyTorch/TensorFlow) and strong SQL querying skills.
- Experience with statistical modeling, hypothesis testing, and building predictive algorithms.
- Familiarity with cloud platforms (e.g., AWS) and containerized deployment workflows.
- Ability to communicate complex analytical concepts to non‑technical audiences.
Skills
pythonsqlmachine learningaws