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About the Role
Lead a team of data scientists developing the next generation of Genius Sports’ market leading sports models, which calculate the probabilities of outcomes across a wide range of sports and act as the sporting brain behind customer-facing products.
Responsibilities
- Lead a specially formed, highly skilled team delivering an innovative & intelligent product.
- Work closely to the fundamental principles of continuous delivery and empowered, high-performing teams.
- Oversee the implementation of predictive models across many sports.
- Lead your team in the development of algorithms to calculate the probabilities of sporting outcomes.
Requirements
- A BSc, MSc or PhD in Data Science, Mathematics, Computer Science, Computational Statistics, Machine Learning or other STEM subject.
- Strong leadership skills with a proven track record of successful delivery of high impact solutions to complex data science problems.
- Mentoring and Staff Development.
- Expert knowledge of probability and statistics.
- Expertise in a broad range of data science / machine learning algorithms (Monte Carlo simulation, neural networks, logistic regression, random forest, etc.) with a proven track record of delivering solutions to complex problems.
- Proficiency with Python or other scripting/programming languages (R, Matlab, etc).
- Ability to bring clarity to complex domains, rapidly developing a deep understanding and challenging unclear requirements.
- Lead conversations that drive alignment and uncover edge cases others might miss.
- Familiarity with sports rules and strategies (football, American football, basketball, tennis, ice hockey, baseball, etc.).
- Knowledge of Sports betting.
- Knowledge of Machine Learning Operations (MLOps) covering the full life cycle from model creation, deployment (Gitlab, AWS, Docker) and retraining.
- Knowledge of Data engineering.
- Knowledge of Rust, C++, other programming languages.
- Knowledge of Real-time systems and/or high-performance computing.
- Knowledge of Software System Design.
- Knowledge of Software Development Lifecycle (SDLC).
- Curiosity and strong desire to learn and improve.
- Social skills, being able to act as a facilitator, can balance enabling others with individual contributions.
- Time management and asynchronous communication skills relevant for a geographically diverse engineering organization.
- Enthusiasm and ability to work collaboratively within a team.
- Excellent spoken and written English.
- Adherence to our core engineering principles of Aligned Autonomy, Psychological Safety and Continuous Improvement.
Skills
- Data Science
- Mathematics
- Computer Science
- Computational Statistics
- Machine Learning
- Probability
- Statistics
- Monte Carlo simulation
- Neural networks
- Logistic regression
- Random forest
- Python
- R
- Matlab
- Sports betting
- MLOps
- Gitlab
- AWS
- Docker
- Data engineering
- Rust
- C++
- Real-time systems
- High-performance computing
- Software System Design
- SDLC
Location
- Remote
- Hybrid
Work Type
- Hybrid
- Office-first
Experience Level
- Senior
Education Level
- BSc
- MSc
- PhD
Benefits
- Competitive salary
- Range of benefits
- Support employee wellbeing
- Help you grow your skills, experience and career
About the Company
- By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before.
- We operate in a squad model to allow focus on the business top priorities, allowing exposure across multiple products while still maintaining strong ownership of your team’s domain.
- We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together.
- We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference.
- One team, being brave, driving change.
Equal Opportunity
- Let us know when you apply if you need any assistance during the recruiting process due to a disability.