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Aws Sports Analytics Jobs (NOW HIRING)

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 ... Experience working in AWS environments etc * Proven track record of strong leadership skills. Has ...

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 ... Experience working in AWS environments etc * Proven track record of strong leadership skills. Has ...

Swish Analytics

Tennis Data Scientist

San Francisco, CA · On-site

$135K - $190K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Experience working in AWS environments etc * Proven track record of strong leadership skills. Has ...

Swish Analytics

NFL Data Scientist

San Francisco, CA · On-site

$140K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Experience working in AWS environments etc * Proven track record of strong leadership skills. Has ...

Inizio Partners Corp

AWS Data Engineer

New York, NY · On-site

$125K - $150K/yr

We are seeking a seasoned Data Engineer to join our Sports Analytics & Engineering Practice. This role is pivotal in shaping and implementing our client's vision for a cutting-edge, cloud-native data ...

Lorven Technologies

AWS Data Engineer

$117K - $140K/yr

We are seeking a seasoned Data Engineer to join our Sports Analytics & Engineering Practice. This ... Build and manage infrastructure as code using AWS CDK for scalable and repeatable deployments.

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How much do aws sports analytics jobs pay per year?

As of Jun 11, 2026, the average yearly pay for aws sports analytics in the United States is $136,232.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,000.00 and $144,500.00 per year, depending on experience, location, and employer.

Do sports analysts make good money?

Sports analysts can earn a wide range of salaries depending on their experience, employer, and level of expertise. Entry-level positions may pay modestly, while experienced analysts working for major sports networks or teams can earn six-figure incomes. Skills in data analysis, statistics, and familiarity with sports-specific tools can influence earning potential.

What kind of job can you get with a sports analytics degree?

A sports analytics degree can lead to roles such as sports analyst, data analyst, or performance analyst, where professionals analyze player and team data to inform strategies. These jobs often require skills in statistical software, data visualization, and knowledge of sports metrics, with opportunities in professional teams, sports organizations, or media companies.

Are sports analytics jobs in demand?

Sports analytics jobs are increasingly in demand as teams and organizations seek data-driven insights to improve performance and decision-making. Professionals in this field often need skills in data analysis, statistics, and familiarity with tools like R or Python, with opportunities growing across professional and collegiate sports sectors.

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

To excel in AWS Sports Analytics, you need expertise in data analysis, statistics, and a solid understanding of cloud computing, often supported by a degree in data science, computer science, or a related field. Proficiency with AWS services (such as S3, Redshift, and SageMaker), data visualization tools like Tableau or Power BI, and relevant certifications like AWS Certified Data Analytics are highly valuable. Strong communication, problem-solving skills, and the ability to collaborate effectively with cross-functional teams are essential soft skills. These competencies ensure you can deliver actionable sports insights, architect scalable solutions, and support data-driven decision-making in high-performance environments.

What is an AWS Sports Analytics job?

An AWS Sports Analytics job involves leveraging Amazon Web Services (AWS) to analyze sports data for performance insights, strategy optimization, and decision-making. Professionals in this role use cloud-based tools like AWS Glue, Lambda, SageMaker, and Redshift to process and visualize large datasets from games, athletes, and teams. They work with machine learning models, real-time analytics, and data pipelines to improve team performance, fan engagement, and business operations. This role requires expertise in data engineering, statistics, and cloud computing to turn raw sports data into actionable insights.

What are some common day-to-day responsibilities for professionals working in AWS Sports Analytics roles?

In AWS Sports Analytics positions, you'll typically be responsible for collecting, cleaning, and analyzing large volumes of sports data using cloud-based tools. You may build or maintain machine learning models to predict player performance, optimize team strategies, or enhance fan engagement. Collaboration is frequent, as you'll work closely with data engineers, coaches, and stakeholders to translate data insights into actionable recommendations. The work environment is often fast-paced, requiring adaptability, attention to detail, and continuous learning to keep up with technological advancements and evolving sports analytics needs.

What AWS jobs are in high demand?

In the field of AWS sports analytics, roles such as AWS Data Engineer, Cloud Solutions Architect, and Data Scientist are in high demand due to the need for cloud infrastructure management, data processing, and analytics expertise. These positions often require skills in AWS services like S3, Lambda, and Redshift, along with knowledge of data modeling and programming languages such as Python or SQL.
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Aws Sports Analytics jobs near you
Tennis Data Scientist

Tennis Data Scientist

Swish Analytics

San Francisco, CA • On-site, Remote

$135K - $190K/yr

Full-time

Posted 22 days 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 looking for a Tennis 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. This position is remote from the USA.
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:
  • Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area
  • Demonstrated experience developing models at production scale for Tennis or sports betting for 2+ years
  • Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods
  • 5+ 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: $135,000 - $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 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 Tennis Team Locations San Francisco, CA - Remote Remote status Fully Remote

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