About the Role
Build data-driven features and automated systems to enhance the Parlay Streak experience. You'll analyze sports data, develop algorithms for bet suggestion systems, create predictive models, and help automate bet creation for admins. Your work will directly impact how users discover and engage with bets.
This role combines data science, sports analytics, and software engineering to create intelligent features that make the platform more engaging and easier to manage.
What You'll Do
- Analyze sports data to identify patterns and insights
- Develop algorithms for automated bet suggestion systems
- Build predictive models for game outcomes and player performance
- Create tools to automate bet creation for admin users
- Design and implement data pipelines for processing sports data
- Work with engineering to integrate data-driven features into the platform
- Evaluate and improve model performance over time
- Research new data sources and analytics techniques
Requirements
- 3+ years of experience in data science or analytics
- Strong programming skills (Python, R, or similar)
- Experience with statistical modeling and machine learning
- Familiarity with sports data and analytics
- Ability to work with large datasets and build data pipelines
- Experience with data visualization and communicating insights
- Strong problem-solving and analytical thinking
Nice to Have
- Experience with sports betting or prediction markets
- Knowledge of player statistics and team performance metrics
- Experience building recommendation systems
- Background in automating data-driven processes
- Familiarity with APIs and data integration
- Experience with time series analysis
- Knowledge of multiple sports and their statistical patterns
Company Culture
At Parlay Streak, we're building a platform that combines sports, competition, and technology. We value:
- Collaboration: We work closely together, sharing ideas and supporting each other's growth
- Ownership: You'll have real impact on the product and the ability to shape its direction
- Learning: We're always exploring new technologies and approaches to solve problems
- Balance: We believe in sustainable work practices and supporting team members' well-being
- Sports Passion: Many of us are sports fans, and that enthusiasm drives what we build
You'll have the opportunity to wear multiple hats, learn new skills, and see your work directly impact users. We're remote-first and value clear communication, autonomy, and results.
How to Apply
Send your resume and a brief note about why you'd be a good fit to careers@parlaystreak.com with "Data Scientist / Sports Analytics Engineer" in the subject line.
We review all applications and will reach out if there's a potential fit.