Data Analytics Expert with Sports Predictive Modeling
6 days ago
Job Overview
We are seeking a seasoned Data Scientist to contribute to our sports analytics team at Swish Analytics Inc. in San Francisco, California.
Salary: $140,000 - $160,000 per year, depending on experience and qualifications.
About the Role
The successful candidate will have advanced knowledge in Probability Theory, Inferential Statistics, Bayesian Statistics, Monte Carlo methods, and proven track record of developing state-of-the-art machine learning models using scikit-learn/Tensorflow/MLlib.
Key Responsibilities
- Develop core algorithms and mathematical models for our data products
- Collaborate with cross-functional teams to develop and support software for new and existing machine learning products
- Mentor junior team members while owning independent deliverables
- Identify key metrics to measure success for new and existing data products
- Perform advanced error analysis on existing products
Requirements
- Advanced knowledge in Probability Theory, Inferential Statistics, Bayesian Statistics, Monte Carlo methods
- Proven track record of developing state-of-the-art machine learning models (scikit-learn/Tensorflow/MLlib)
- Expert in MySQL
- Expert in a scientific scripting language (Python/R)
Bonus Points
- Sports data knowledge
- PhD in related field or M.S. in Mathematics, Computer Science, or related STEM field
Benefits
- Health: Medical, Dental, and Vision coverage for all employees
- Vacation: Unlimited PTO and flexibility for whatever life brings your way
- Sports: Watch parties, World Series tickets, pickup basketball...and everything in between
- Social: Happy Hours, weekly catered lunches, and office snacks
- Play: Fantasy contests, office pick pools, and head-to-head games provide some friendly competition
- Commute: With our office located just north of Jackson Square in downtown SF, we provide commuter benefits for those down the street or across the Bay
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