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Aws Sports Analytics Jobs (NOW HIRING)

Swish Analytics

Data Scientist

San Francisco, CA · Remote

$160K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Experience working in AWS environments. * Ability to partner across teams on complex, ambiguous ...

Swish Analytics

Data Scientist

San Francisco, CA · Remote

$160K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Experience working in AWS environments. * Ability to partner across teams on complex, ambiguous ...

Swish Analytics

NFL Data Scientist

San Francisco, CA · Remote

$160K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Experience working in AWS environments. * Ability to partner across teams on complex, ambiguous ...

Swish Analytics

Data Scientist

San Francisco, CA · On-site +1

$160K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Experience working in AWS environments. * Ability to partner across teams on complex, ambiguous ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$160K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... AWS) * Experience with web scraping and cleaning unstructured data * Knowledge of data science and ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$160K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... AWS) * Experience with web scraping and cleaning unstructured data * Knowledge of data science and ...

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... AWS) * Experience with web scraping and cleaning unstructured data * Knowledge of data science and ...

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

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

Soccer Data Scientist

San Francisco, CA

$130K/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 ...

Swish Analytics

Soccer Data Scientist

San Francisco, CA · On-site +1

$130K/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

$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

$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

Product Engineer

San Francisco, CA · Remote

$170K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Experience working in AWS environments * Track record of technical leadership and partnering across ...

Swish Analytics

Product Engineer

San Francisco, CA · On-site +1

$170K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Experience working in AWS environments * Track record of technical leadership and partnering across ...

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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Aws Sports Analytics information

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$21K

$136.2K

$177.5K

How much do aws sports analytics jobs pay per year?

As of Jul 25, 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.

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 media, and consulting firms.

Are AWS jobs still in demand?

AWS sports analytics jobs are in high demand due to the growing use of cloud computing and data analysis in sports organizations. Skills in AWS services, data management, and analytics tools are valuable for these roles, which are expected to continue growing as organizations seek to leverage data for performance and business insights.

Will sports analytics jobs be replaced by AI?

Sports analytics jobs involve interpreting complex data to inform team strategies and player performance, and while AI tools can automate data processing and analysis, human expertise remains essential for contextual understanding and decision-making. AI can augment these roles by handling routine tasks, but full replacement is unlikely in the near term due to the need for domain knowledge and critical thinking. Professionals in sports analytics should focus on developing skills in data science, machine learning, and sports-specific knowledge to stay relevant.

Is sports analytics in demand?

Sports analytics is in high demand as teams and organizations increasingly rely on data-driven insights to improve performance and decision-making. Professionals in this field often use statistical tools and programming languages like R or Python, and the industry continues to grow with advancements in technology and data collection methods.

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.

More about Aws Sports Analytics jobs
What cities are hiring for Aws Sports Analytics jobs? Cities with the most Aws Sports Analytics job openings:
What are the most commonly searched types of Aws Sports Analytics jobs? The most popular types of Aws Sports Analytics jobs are:
What states have the most Aws Sports Analytics jobs? States with the most job openings for Aws Sports Analytics jobs include:
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Aws Sports Analytics jobs near you
Infographic showing various Aws Sports Analytics job openings in the United States as of July 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 41% In-person, 17% Hybrid, and 42% Remote job distribution, with an average salary of $136,232 per year, or $65.5 per hour.
Data Scientist

Data Scientist

Swish Analytics

San Francisco, CA • Remote

$160K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

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

You\'ll begin by diving deep into our factor usage: how factors are used, what they drive downstream, and how much they can move sim outputs. Early on, you\'ll design tests that catch unexpected changes to our simulations caused by factor moves. From there, we see this person consuming large volumes of market data from the exchanges and analyzing it to automate Contrarian Signals — adjusting our sims in response to market information. As we move into sports beyond the NBA, we\'d expect this role to grow into building models for factor optimization. The work starts in analysis and moves into model building; it\'s lighter on infrastructure and software engineering, which is well covered by the team. This position is remote from the USA or Canada.

Duties:

  • Analyze our factor usage data — how factors are used, their downstream effects, and their impact on simulation outputs — and turn that analysis into actionable insight.

  • Design and set up tests to detect unexpected changes to our sims resulting from factor moves.

  • Ideate, develop, and improve machine learning and statistical models that drive Swish\'s core algorithms, growing into factor-optimization modeling as we expand to new sports.

  • Develop contextualized feature sets that draw on sports-specific domain knowledge.

  • Contribute across all stages of model development — from proof-of-concept and beta testing to partnering with data engineering and product teams to deploy new models.

  • Constantly improve model performance using insights from rigorous offline and online experimentation.

  • Assess model performance, identify weaknesses, and use those findings to direct development efforts.

  • Document your work and present it clearly to technical and non-technical partners.

Requirements

  • Bachelor\'s in Data Science, Statistics, Computer Science, Applied Math, or a related technical field; Master\'s strongly preferred.

  • 4+ years developing and delivering effective machine learning and/or statistical models to serve real business needs in sports analytics or sports betting.

  • Strong foundation in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, and Markov Chain Monte Carlo methods.

  • Excellent analytical and problem-solving ability, and a demonstrated drive to learn quickly in unfamiliar territory.

  • Experience with Python and relational SQL.

  • Experience with source control (GitHub) and related CI/CD processes.

  • Experience working in AWS environments.

  • Ability to partner across teams on complex, ambiguous problems and communicate clearly with technical and non-technical audiences.

Base salary: Starting at $160,000 - DOE

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 those outlined above and are subject to change. At the employer\'s discretion, this position may require successful completion of background and reference checks.

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