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Director Swish Analytics Jobs (NOW HIRING)

Swish Analytics

Basketball Data Scientist

San Francisco, CA · On-site +1

$130K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Analyze results and outputs to assess model performance and identify model weaknesses for directing ...

Swish Analytics

NFL Data Scientist

San Francisco, CA

$140K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Analyze results and outputs to assess model performance and identify model weaknesses for directing ...

Swish Analytics

NFL Data Scientist

San Francisco, CA · On-site +1

$140K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Analyze results and outputs to assess model performance and identify model weaknesses for directing ...

Swish Analytics

Tennis Data Scientist

San Francisco, CA

$135K - $190K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Analyze results and outputs to assess model performance and identify model weaknesses for directing ...

Swish Analytics

Tennis Data Scientist

San Francisco, CA · On-site +1

$135K - $190K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Analyze results and outputs to assess model performance and identify model weaknesses for directing ...

Kizuki Ramen

Senior Marketing Manager

Redmond, WA · On-site

$80K - $100K/yr

Tang Bar / Swish Swish - a modern fast-casual concept bringing bold Sichuan malatang flavors to a ... Use AI tools and modern marketing technology to improve content creation, analytics, and ...

Kizuki Ramen

Senior Marketing Manager

Redmond, WA · On-site

$80K - $100K/yr

Tang Bar / Swish Swish - a modern fast-casual concept bringing bold Sichuan malatang flavors to a ... Use AI tools and modern marketing technology to improve content creation, analytics, and ...

All JobsDirector Swish Analytics Jobs

Director Swish Analytics information

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$119K

$176.5K

How much do director swish analytics jobs pay per year?

As of Jun 9, 2026, the average yearly pay for director swish analytics in the United States is $118,951.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,000.00 and $153,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Director at Swish Analytics, and why are they important?

To thrive as a Director at Swish Analytics, you need strong leadership abilities, deep expertise in data analytics, sports technology, and a proven track record of managing teams and projects in a tech-driven environment. Familiarity with advanced analytics tools, data platforms, and industry-standard software such as SQL, Python, and BI tools is typically required. Exceptional strategic thinking, communication, and problem-solving skills help drive innovation and foster collaboration across diverse teams. These qualities are crucial for steering company growth, delivering data-driven solutions, and maintaining a competitive edge in the fast-paced sports analytics industry.

What does a Director at Swish Analytics do?

A Director at Swish Analytics oversees teams and projects related to sports analytics, data science, and product development. They are responsible for strategic direction, managing key partnerships, and ensuring that analytics products meet the needs of clients in the sports betting and fantasy sports industries. The role typically involves leading cross-functional teams, coordinating with stakeholders, and driving the company's growth initiatives. Directors also help maintain the company's competitive edge by staying updated on industry trends and advancing data-driven solutions.

What is the difference between Director Swish Analytics vs Data Analyst?

AspectDirector Swish AnalyticsData Analyst
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; experience in analytics leadershipBachelor's degree in Data Science, Statistics, or related field; entry to mid-level experience
Work EnvironmentStrategic leadership, team management, cross-department collaborationData collection, analysis, reporting, and visualization tasks
Employer & Industry UsageTech companies, sports analytics firms, marketing agenciesBusiness, finance, marketing, sports industries

The main difference between a Director Swish Analytics and a Data Analyst lies in their scope and responsibilities. The Director oversees analytics strategies, manages teams, and collaborates at a strategic level, while Data Analysts focus on data processing, analysis, and reporting. Both roles require strong analytical skills, but the director position demands leadership experience and strategic planning capabilities.

How does a Director at Swish Analytics typically collaborate with cross-functional teams to drive product innovation?

As a Director at Swish Analytics, you will frequently collaborate with data scientists, engineers, product managers, and business development teams to guide the development and execution of new analytics products. This role requires balancing strategic decision-making with hands-on leadership, ensuring that projects are aligned with organizational goals and delivered on time. Regular cross-departmental meetings, clear communication, and fostering a culture of innovation are essential for overcoming challenges and delivering impactful solutions. This collaborative environment not only drives product innovation but also provides opportunities to mentor team members and influence the company's growth trajectory.
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Director Swish Analytics jobs near you
Basketball Data Scientist

Basketball Data Scientist

Swish Analytics

San Francisco, CA • On-site, Remote

$130K/yr

Full-time

Posted 13 hours ago

Job description

Company 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 consumer/enterprise clients.
Job Description
Swish Analytics is hiring Basketball Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. We're hiring a Data Scientist to support our Sports Data Models
Duties:
  • Ideate, develop and improve machine learning and statistical models that drive Swish's core algorithms for producing state-of-the-art sports betting products.
  • Develop contextualized feature sets using sports specific domain knowledge.
  • Contribute to all stages of model development, from creating proof-of-concepts and beta testing, to partnering with data engineering and product teams to deploy new models.
  • Strive to constantly improve model performance using insights from rigorous offline and online experimentation.
  • Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts.
  • Adhere to software engineering best practices and contribute to shared code repositories.
  • Document modeling work and present to stakeholders and other technical and non-technical partners.

Requirements:
  • Bachelor's degree in Data Analytics, Data Science, Computer Science or related technical subject area; Masters highly preferred
  • Demonstrated experience developing models at production scale for Basketball or sports betting
  • Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods
  • Minimum of 4+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting
  • Experience with relational SQL & Python
  • Experience with source control tools such as GitHub and related CI/CD processes
  • Experience working in AWS environments etc
  • Proven track record of strong leadership skills. Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions
  • Excellent communication skills to both technical and non-technical audiences

Base salary: Starting at $130,000
Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national 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 Data Science Role NBA Team Locations San Francisco, CA - Remote Remote status Fully Remote

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