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About the Role
Swish Analytics is seeking team-oriented individuals with a passion for accurate and predictive real-time data to join our fast-paced, creative, and continually-evolving environment. We are building the next generation of predictive sports analytics data products, challenging the traditional intuition-based approach to oddsmaking with engineering, mathematics, and sports betting expertise.
Responsibilities
- Investigate individual incidents and requests end-to-end, working directly with raw production data and systems to determine root cause and recommend resolution.
- Build and maintain metrics that measure system health and performance over time, using statistical methods as the core analytical approach, while also producing clear descriptive reporting for stakeholders.
- Contribute directly to the team's core framework and tooling, making investigation and measurement work more repeatable and less bespoke over time.
- Operate independently on ambiguous, partially-scoped problems, identifying the right cross-functional partners when a problem crosses team boundaries.
- Work with real-time, event-driven data to reconstruct and explain system behavior during live events.
Requirements
- Bachelor's Degree in Computer Science, Statistics, Data Science, or similar major.
- Minimum of 4 years of professional software engineering experience, including production systems.
- Minimum of 2 years of experience with Python, including data extraction, wrangling, and analysis.
- Minimum of 1 year of experience with Rust in a production environment.
- Experience building and maintaining software that runs in production against real-world data.
- Strong SQL skills and direct experience working with raw/source data.
- Experience taking on open-ended problems with limited upfront direction.
- Genuine statistical/quantitative reasoning skills.
Skills
- Python
- Rust
- SQL
- Event-driven data systems
- Real-time data systems
- Kafka
Experience Level
- 4 years of professional software engineering experience
- 2 years of experience with Python
- 1 year of experience with Rust
Education Level
- Bachelor's Degree in Computer Science, Statistics, Data Science, or similar major
Salary/Compensations
- Starting at $150,000 base to DOE
About the Company
- Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products.
- We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition.
- Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.
Equal Opportunity
- Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law.
- The position responsibilities are not limited to the responsibilities outlined above and are subject to change.
- At the employer’s discretion, this position may require successful completion of background and reference checks.