Hologram is looking for a Sports Modeler to take your passion for sports into the data science arena. You will model, simulate, predict, and perfect outcomes for sports, teams, and players. This is a chance to see your work become customer-facing quickly and efficiently.
What You'll Do
- Build predictive and simulation models to underpin the pricing of a range of products across major US sports.
- Analyze, define, and perform on model performance to identify opportunities for improvement.
- Collaborate with engineering and trading teams on the design, implementation, and refinement of models.
What We're Looking For
- 2+ years of full-time experience in a fast-paced financial or similar setting.
- Strong programming skills in Python and R, with experience using libraries such as Pandas, scikit-learn, and TensorFlow.
- Solid understanding of statistical methods and their application in data analysis.
- Ability to write complex SQL queries to extract and manipulate data from databases.
- Familiarity with big data tools like Spark and Kafka.
- Understanding of ETL processes and data pipeline design.
- Bachelor’s degree in a STEM field.
Nice to Have
- Experience working as a data scientist in the sports or finance industries.
Technical Stack
- Python, R, Pandas, scikit-learn, TensorFlow, SQL, Spark, Kafka
Team & Environment
You will work with an international team of sports modelers.
Benefits & Compensation
- Salary range: $135,000 to $150,000 + target equity.
- Unlimited PTO for full-time employees.
- 16 weeks of fully paid parental leave.
- Home office stipend.
- A connected virtual-first culture with a highly engaged distributed workforce.
- 5% 401k match, FSA, company paid health, dental, vision plan options for employees and dependents.
Work Mode
This is a remote position open to candidates located in the United States.
Underdog is an equal opportunity employer and doesn't discriminate on the basis of creed, race, sexual orientation, gender, age, disability status, or any other defining characteristic.
