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
Big League Advantage is an analytics company that assists athletes in carrying out their dreams of making it to the next level by investing in their athletic careers. Founded in 2016, BLA now has a roster that includes more than 450 athletes. We are looking for a Player Relations Manager to head the football division. This candidate will be responsible for engaging with the new generation of BLA athletes.
Responsibilities:
Responsibilities:
- Serve as a point of contact and BLA representative for our football division.
- Consistently communicate and travel to facilitate and continue relationships with those in the football industry.
- Work with the BLA team on specific assignments that come up with respect to existing and new initiatives.
- Experience with working on NIL deals or at an agency.
- Knowledge and understanding of the NCAAF and NFL landscapes.
- Previous experience playing NCAA or professional football, preferred, but not required.
- Enthusiastic to learn about business development processes.
- Organized and prepared.
- Ability to travel often.
- Ability to maintain the highest level of confidentiality.
- Ability to maintain the highest level of ethical decision making.
- Interpersonal skills – listens to others, self-motivated, hard-working, team player.
- Excellent communication skills including written and verbal; ability to present ideas clearly and concisely. Can prioritize work activities and use time efficiently.
- Must be capable of handling multiple projects at once.
- Adaptability – adapts to change in the work environment, manages competing demands and is able to handle frequent changes.
- Dependability – follows instructions, responds to supervisor’s instructions. Creative thinking and ability to work with a sense of urgency and competitiveness.
- Ability to work extended hours around football’s schedule, including nights, weekends, holidays.
- Strong computer skills – Microsoft Office software programs and Zoom. Adobe, preferred.
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.
