Quantitative Analyst

We are looking for a Quantitative Analyst to join our Player Personnel Department. Your primary focus will be on Player Personnel related data modeling, but you will be joining a group of engineers and analysts who support both the coaching and scouting staffs. The ideal candidate will have a background in mathematics or statistics with a passion for analyzing sports data.

Key Responsibilities

· Work closely with our scouts, engineers, and other analysts to create interpretable predictive models to aid in the player evaluation process.

· Write high-quality and maintainable model code that can be incorporated into our production environment.

· Stay up to date on the latest data science trends, helping identify opportunities for us to expand our use of evidence-based decision making.

· Communicate clearly with non-technical stakeholders across the organization.

Requirements

· 1+ years of demonstrated experience in predictive modeling.

· Demonstrated coding proficiency (R, Python, etc.).

· Experience with version control systems (Github).

· Familiarity with database technologies/languages is a plus.

Bolt Up!

We are looking for someone who loves sports (especially football) and solving complex problems. If you aren’t the most knowledgeable football fan, that’s okay! We want someone with a passion for the game and the natural curiosity to learn.

We want someone who doesn’t take themselves too seriously and is always looking to embrace new challenges. Above all, we want a teammate who will help take our football decision modeling to the next level.

The Los Angeles Chargers are committed to building a diverse, equitable and inclusive work environment that reflects our incredibly diverse fan base. We provide an environment of mutual respect where equal employment opportunities are available to all employees and applicants without regard to ancestry, race, color, religion, sex, gender, gender identity, gender expression, national origin, age, disability, medical condition, marital status, military or veteran status, genetic information, sexual orientation, or other status protected by applicable federal, state, or local law. We believe diversity and inclusion among our employees is critical to our success, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. Job Questions:

With 10 being true expertise/complete fluency and 1 being a basic familiarity, how would you rank your skills in these computer languages (Python, R). You can add one additional language and rate your expertise on a 1-10 as well, but you do not have to. Example: Python (2) R (7) Other: SQL (9)

2. What lessons have you learned in your modeling experience? How are you smarter now than when you ran your first regression? Keep your answer to less than 300 words.

How would you determine how important having a successful running game is for an offense? Keep your answer to less than 175 words.