Careers
We’re a team of experts in the fields of machine learning, operations, data science, and predictive statistics.
Open Positions
Responsibilities:
Full Time
Washington, DC
- Architect and implement data pipelines
- Build a cloud-based workflow that makes it simple to deploy, update, and debug models
- Collaborate with data scientists to productionize models
- A passion for sports Bachelors or Masters Degree in Computer Science, Statistics or related field
- Proficient in at least one general-purpose programming language
- Significant experience building and maintaining relational databases
- An understanding of statistics and ability to work with statisticians Experience working in a cloud-based ecosystem Sports analytics experience preferred, but not required
Responsibilities:
- Develop and deploy predictive models in one or more major sports
- Research new methods to develop and improve sophisticated predictive models, staying adept with the latest research and techniques in the field
- Analyze various sports data sets to identify statistically significant patterns and extract predictive features
- Collaborate with a team of data scientists and engineers
- A passion for sports
- Bachelors degree in Statistics, Machine Learning, Mathematics, Computer Science, Econometrics or related field; PhD or Masters preferred, but not required
- Proficiency with R and/or Python
- Experience with SQL queries
- Skilled in a variety of statistical modeling and machine learning techniques
- Experience building models in a cloud-based ecosystem preferred, but not required
- Sports analytics experience preferred, but not required
Responsibilities:
- Architect and implement data pipelines
- Build a cloud-based workflow that makes it simple to deploy, update, and debug models
- Collaborate with data scientists to productionize models
- A passion for sports Pursuing a degree in Computer Science, Statistics or related field
- Proficient in at least one general-purpose programming language
- Some experience building and maintaining relational databases
- An understanding of statistics and ability to work with statisticians
- Experience working in a cloud-based ecosystem preferred, but not required
- Sports analytics experience preferred, but not required
Responsibilities:
- Develop and deploy predictive models in one or more major sports
- Analyze various sports data sets to identify statistically significant patterns and extract predictive features
- Collaborate with a team of data scientists and engineers
- A passion for sports
- Pursuing a degree in Statistics, Machine Learning, Mathematics, Computer Science, Econometrics or related field
- Significant experience with R and/or Python
- Some experience with SQL queries
- Skilled in a variety of statistical modeling and machine learning techniques
- Sports analytics experience preferred, but not required
Can’t find the position you’re looking for?
We would still love to hear from you! For inquiries about other potential career opportunities, please send us an email with your resume and Linkedin profile included.
