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Swish Analytics Jobs (NOW HIRING)

Swish Analytics

Full Stack Engineer

San Francisco, CA

$150K - $190K/yr

Base salary : $150,000 - 190,000 Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national ...

Swish Analytics

Full Stack Engineer

San Francisco, CA · On-site +1

$150K - $190K/yr

Base salary : $150,000 - 190,000 Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national ...

Swish Analytics

Trading Analyst

San Francisco, CA

Company Overview Swish Analytics is a sports analytics, betting, and fantasy startup building the next generation of predictive sports data products. We believe that oddsmaking is a challenge rooted ...

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

Company Overview Swish Analytics is a sports analytics, betting, and fantasy startup building the next generation of predictive sports data products. We believe that oddsmaking is a challenge rooted ...

AEG

Sports Trading Analyst

San Francisco, CA · On-site

$70K - $120K/yr

Company Overview Swish Analytics is a sports analytics, betting, and fantasy startup building the next generation of predictive sports data products. We believe that oddsmaking is a challenge rooted ...

AEG

Trading Analyst

San Francisco, CA · On-site

$70K - $110K/yr

Company Overview Swish Analytics is a sports analytics, betting, and fantasy startup building the next generation of predictive sports data products. We believe that oddsmaking is a challenge rooted ...

Swish Dental

Dental Office Manager

Austin, TX · On-site

$25.25 - $33.25/hr

Swish Dental is a privately owned and operated dental practice with the patient in mind. We are ... Analyze and compile reports * Audit and correct patient accounts before deadlines * Complete end of ...

Swish Dental

Dental Office Manager

Houston, TX · On-site

$24.25 - $32/hr

Swish Dental is a privately owned and operated dental practice with the patient in mind. We are ... Analyze and compile reports * Audit and correct patient accounts before deadlines * Complete end of ...

Swish Dental

Dental Hygienist

Austin, TX · On-site

$37.75 - $49.50/hr

Swish Dental is a privately owned and operated dental practice with the patient in mind. We are ... Perform and analyze dental radiographs (x-rays) and scans * Obtain and update patient dental and ...

Swish Dental

Dental Office Manager

Kyle, TX · On-site

$24.50 - $32.25/hr

Swish Dental is a privately owned and operated dental practice with the patient in mind. We are ... Analyze and compile reports * Audit and correct patient accounts before deadlines * Complete end of ...

Swish Dental

Dental Office Manager

Houston, TX · On-site

$24.25 - $32/hr

Swish Dental is a privately owned and operated dental practice with the patient in mind. We are ... Analyze and compile reports * Audit and correct patient accounts before deadlines * Complete end of ...

Swish Dental

Dental Office Manager

Bee Cave, TX · On-site

$25 - $33/hr

Swish Dental is a privately owned and operated dental practice with the patient in mind. We are ... Analyze and compile reports * Audit and correct patient accounts before deadlines * Complete end of ...

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Swish Analytics information

What are the primary responsibilities of someone working in a Swish Analytics position?

Professionals in Swish Analytics are responsible for collecting, analyzing, and interpreting large sports datasets to develop predictive models and generate insights for teams, sportsbooks, or fantasy platforms. Daily tasks often include building algorithms, conducting simulations, and communicating findings to both technical and non-technical stakeholders. Collaboration with software developers, data engineers, and subject matter experts is common to ensure robust product development and impactful analytics. This hands-on, collaborative role is ideal for those who enjoy solving complex problems and making a measurable impact on sports outcomes.

What are the key skills and qualifications needed to thrive in the Swish Analytics position, and why are they important?

To thrive in a Swish Analytics role, you need a deep understanding of data analysis, statistical modeling, and experience with sports analytics, often supported by a degree in mathematics, statistics, or a related field. Proficiency in programming languages such as Python or R, along with familiarity with advanced analytics platforms and data visualization tools, is essential. Strong problem-solving abilities, effective communication, and teamwork skills help you interpret results and present actionable insights clearly. These competencies are vital for delivering accurate predictions and supporting data-driven decision-making in a fast-paced, sports-focused environment.

What is a Swish Analytics job?

A Swish Analytics job typically involves working with sports data, predictive analytics, and modeling to support betting, fantasy sports, and other data-driven applications. Roles may include data science, software engineering, or business analytics, depending on the position. Employees use machine learning, statistical analysis, and data engineering to provide insights and solutions for the sports industry.

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Swish Analytics jobs near you
Infographic showing various Swish Analytics job openings in the United States as of May 2026, with employment types broken down into 12% Internship, 2% As Needed, 7% Temporary, 77% Contract, and 2% Nights. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution.
Machine Learning Engineer

Machine Learning Engineer

Swish Analytics

San Francisco, CA • On-site, Remote

$160K/yr

Full-time

Posted 17 days ago

Job description

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. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. 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 enterprise clients.
The Data Science team is hiring an experienced Machine Learning Engineer with a background building machine learning and statistical modeling frameworks from scratch. They can assist with optimizing the different aspects of the modeling process (Data Validation, Data Visualization, Data Stores & Structures, Feature Engineering, Model Training & Evaluation, Deployments) and improving a variety of Swish products. They will know when to "roll your own" and when to outsource a particular step in the modeling process. They will engineer custom solutions to solve complex data-related sports challenges across multiple leagues.
This position is 100% remote
Responsibilities:
  • Design, prototype, implement, evaluate, optimize systems to generate sports datasets and predictions with high accuracy and low latency.
  • Evaluate internal modeling frameworks and tools to optimize data scientist's modeling workflow.
  • Build, test, deploy and maintain production systems.
  • Work closely with DevOps and Data Engineering teams to assist with implementation, optimization and scale workloads on Kubernetes using CI/CD, automation tools and scripting languages.
  • Support maintenance and optimization of cloud-native EDW and ETL solutions.
  • Maintain and promote best practices for software development, including deployment process, documentation, and coding standards.
  • Experience applying large scale data processing techniques to develop scalable and innovative sports betting products.
  • Use extensive experience to build, test, debug, and deploy production-grade components.
  • Experience applying large scale data processing techniques to develop scalable and innovative sports betting products.
  • Participate in development of database structures that fit into the overall architecture of Swish systems

Qualifications:
  • Masters degree in Computer Science, Applied Mathematics, Data Science, Computational Physics/Chemistry or related technical subject area
  • 5+ years of demonstrated experience developing and delivering clean and efficient production code to serve business needs
  • A proven background in quantitative analytics, trading, or engineering is required for this position
  • Demonstrated experience developing data science modeling systems and infrastructure at scale
  • Experience with Python and exposure to modern machine learning frameworks
  • Proficient in SQL; experience with MySQL
  • Background and/or interest in Rust preferred
  • Affinity for teamwork and collaboration with others to solve problems, share knowledge, and provide feedback
  • Strong communication skills when discussing technical concepts with technical and non-technical colleagues

Base salary: starting at $160,000 base plus bonus potential
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.
Department Engineering & Infrastructure Role Data Science Infrastructure Locations San Francisco, CA - Remote Remote status Fully Remote

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