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Remote Baseball Analytics Internships Jobs (NOW HIRING)

Swish Analytics

Rust Engineer

San Francisco, CA · On-site +1

$170K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Deep knowledge of football, basketball or baseball; including roster compositions of professional ...

TIKAJ

Research through web analytics and use keywords for global promotion and generating leads through ... Requirements Only those candidates can apply who: * are available for the remote/internship * can ...

Duravant

Student Intern

Downers Grove, IL · On-site +1

$20 - $25/hr

Interns will collaborate closely with cross-functional teams and leverage data analytics tools ... Location: Downers Grove, IL (Hybrid) or Remote * Department: Lifecycle Services (Aftermarket)

New

KBR

Remote Sensing Requirements Analyst

Washington, DC · On-site +1

Exposure to data visualization or analytics tools (e.g., PowerBI, Tableau, Python, R). * Experience ... internship or early-career roles acceptable). * Strong written and verbal communication skills ...

Green Generation

Internship Program US (Remote)

Bethesda, MD · On-site +1

$18 - $23.25/hr

Given the COVID-19 pandemic, GreenGen has restructured its Internship Program to be either remote ... Unique skills in energy modeling, Excel, PowerPoint, data analytics, or engineering and design are ...

Lehigh University

$67K - $90K/yr

Bethlehem, Fully Remote Categories: Student Life Director of Internships and Employer Partnerships ... Track and analyze key metrics, including internship participation, compensation, employer ...

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Remote Baseball Analytics Internships information

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How much do remote baseball analytics internships jobs pay per month?

As of Jul 9, 2026, the average monthly pay for remote baseball analytics internships in the United States is $6,290.58, according to ZipRecruiter salary data. Most workers in this role earn between $5,708.33 and $6,708.33 per month, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Baseball Analytics Intern, and why are they important?

To thrive as a Remote Baseball Analytics Intern, you need a solid foundation in statistics, data analysis, and baseball knowledge, often supported by coursework or a degree in fields like mathematics, statistics, or sports management. Familiarity with statistical software (such as R or Python), databases (like SQL), and data visualization tools is typically required. Strong communication, attention to detail, and the ability to work independently are key soft skills for collaborating with teams and presenting insights remotely. These abilities ensure you can contribute meaningful, actionable analysis to support decision-making in the evolving field of baseball operations.

What are some common challenges faced by remote baseball analytics interns, and how can they be overcome?

Remote baseball analytics interns often face challenges such as limited in-person collaboration, managing communication across different time zones, and accessing proprietary datasets or software securely. To overcome these, interns should proactively schedule regular check-ins with mentors, utilize collaboration tools like Slack and Zoom, and stay organized with project management platforms. Building strong communication habits and seeking feedback frequently can help interns stay engaged and contribute effectively to the analytics team, despite the remote setting.

What is the difference between Remote Baseball Analytics Internships vs Remote Sports Data Analyst Internships?

AspectRemote Baseball Analytics InternshipsRemote Sports Data Analyst Internships
Required CredentialsBasic knowledge of baseball statistics, data analysis skills, possibly some programmingSimilar data analysis skills, sports knowledge, possibly programming or statistical tools
Work EnvironmentRemote, sports organizations, analytics firms, or teamsRemote, sports organizations, analytics firms, or teams
Industry UsageSpecifically focused on baseball data and performance metricsBroader sports industry, including multiple sports like football, basketball, etc.

Remote Baseball Analytics Internships and Remote Sports Data Analyst Internships share similar skills and work environments but differ in focus. The baseball internships concentrate on baseball-specific data, while sports data analyst roles encompass multiple sports. Both are ideal for candidates interested in sports analytics and require comparable technical skills.

What are remote baseball analytics internships?

Remote baseball analytics internships are opportunities for students or early-career professionals to gain experience in baseball analytics while working from a location outside of a traditional office, often from home. Interns typically assist with data collection, statistical analysis, and visualization to support baseball teams or organizations in making data-driven decisions. These positions allow interns to collaborate with professionals in the industry, learn about advanced baseball metrics, and develop technical skills in areas such as programming and data science. The remote aspect offers flexibility and access to internships that may be geographically distant, making it easier for a wider range of candidates to participate.
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Remote Baseball Analytics Internships jobs near you
Rust Engineer

Rust Engineer

Swish Analytics

San Francisco, CA • On-site, Remote

$170K/yr

Full-time

Re-posted 10 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.
Duties:
  • Develop high-performance and low-latency products to verify results and provide reliability for in-game play
  • Write Rust code, that's sophisticated, fast, and readable for complex, data science infrastructure
  • Design core, backend software components, and code primarily using Rust
  • Building internal and external tools to support Swish's live trading platform
  • Source origins of data inaccuracies through data pipeline dependencies and python code base
  • Use extensive experience to build, test, debug, and deploy production-grade components
  • Proactively improve our Rust and Python codebase
  • Production model feature deep dives to explain project market lines

Requirements:
  • Bachelor's Degree in Computer Science, Data Science or similar major
  • Minimum of 1 year of software engineering experience with Rust; 3 preferred
  • Minimum of 3 years of experience developing high-performance, scalable, and reliable production systems
  • Data Extraction, Wrangling and Analysis in Python
  • Strong SQL querying skills
  • Ability to work independently and take initiative

Preferred:
  • Experience with Apache Kafka and comparable systems
  • Exposure to the data science process and tech stack
  • Deep knowledge of football, basketball or baseball; including roster compositions of professional and college teams, general gameplay strategies, and typical in-game scenarios

Base salary: Starting at $170,000 base
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 Locations San Francisco, CA - Remote Remote status Fully Remote

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