Data Scientist
Posted 3
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Compensation: $100k – $180k • 0.0% – 2.0%
Responsibilities
- Collect, extract, integrate, and analyze large volumes of data from a variety of sources
- Apply modern ML/AI techniques to predict outcomes of sports events, with an emphasis on in-game, real-time modelling
- Initial focus on NFL, NBA, and MLB, with the potential to expand across traditional and esports.
- Work with engineering and design teams to integrate models into InPlay Innovation’s products
Skills/Experience
- Degree in a quantitative field (Advanced Degree in Math or Statistics is ideal but not required)
- 2+ years of relevant professional experience (Data Scientist, Machine Learning Engineer, Quantitative Analyst, or similar)
- Strong programming skills in a scientific computing language such as Python
- Experience using frameworks for machine learning and data science like scikit-learn, pandas, numpy, pytorch, tensorflow/keras
- Understanding of statistical methods and contemporary ML algorithms
- Interest in and experience with sports and/or gaming
- Strong collaborator
- Excellent oral and written communicator
- Comfortable in early-stage, fast-paced, high-growth environments
Comp/Benefits
- Commensurate with experience
- Potential for equity upside for the right candidate