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Remote Baseball Analytics Internships Jobs in Colorado

Economics Research Intern

Boulder, CO ยท On-site +1

$18 - $20/hr

EDF internships provide high-quality experiences (including relevant projects and opportunities for ... S. Remote with option to be hybrid out of an EDF office in Washington, D.C., New York, San ...

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Remote Baseball Analytics Internships information

What are the key skills and qualifications needed to thrive as a remote baseball analytics intern?

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 is a remote baseball analytics internship?

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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Senior Android Engineer, MLB App Feature Teams

Major League Baseball

Boulder, CO โ€ข Remote

Other

Life, Retirement, PTO

Posted 15 days ago


Job description

Major League Baseball is looking for a Senior Android Engineer, MLB App Feature Teams to join the team building the MLB App experiences that bring fans closer to the game, including personalized feeds, real-time scores and stats, notifications, widgets, advertising surfaces, and media experiences. You will own Android feature delivery end to end, from technical design and implementation through testing, rollout, observability, and production reliability.

This role is for an engineer who can operate independently in a large consumer app, make sound architecture decisions, raise the quality bar for the team, and use modern developer tools, including generative AI, responsibly and effectively.

Responsibilities

  • Build high-quality Android features in Kotlin and Jetpack Compose across app, media, and shared platform modules
  • Translate product requirements and Figma designs into polished, accessible, production-ready UI while maintaining cross-platform consistency with iOS
  • Design and implement clean, maintainable feature architecture that fits a modular Android codebase
  • Integrate REST and GraphQL APIs with resilient networking, thoughtful state handling, caching where appropriate, and clear failure states
  • Improve app performance, responsiveness, startup behavior, crash-free sessions, and overall reliability
  • Partner with Product, Design, iOS, Backend, QA, and Test Engineering to clarify requirements, shape technical plans, and define test coverage early
  • Monitor feature rollouts and production behavior using Firebase, Datadog, crash reporting, analytics, and release health signals
  • Own production issues from diagnosis through resolution, including root-cause analysis and follow-up prevention work
  • Drive measurable improvements in build time, delivery throughput, code quality, and engineering efficiency
  • Provide thoughtful PR reviews, mentor engineers, and help establish patterns that scale across feature teams
  • Use GenAI tools such as GitHub Copilot or similar assistants to accelerate implementation, refactoring, test generation, debugging, and documentation while retaining full engineering accountability
  • Validate AI-assisted work through tests, code review, static analysis, observability checks, and secure coding practices before merge
  • Follow internal AI usage guidance, repository conventions, data-handling expectations, and review standards

Qualifications & Skills

Required Qualifications

  • 6+ years of professional experience building production Android applications
  • Strong Kotlin, Android SDK, Jetpack Compose, coroutines, and modern Android architecture expertise
  • Experience working in modular Android codebases with shared core modules, design systems, and established architectural patterns
  • Strong REST and GraphQL integration experience, including error handling, async state management, and API contract collaboration
  • Proven testing discipline across unit, integration, snapshot, and UI testing, including experience running tests in CI
  • Experience diagnosing production issues using logs, metrics, crash reporting, analytics, and observability tools
  • Familiarity with push notifications, deep links, widgets, feature flags, experimentation, and release management
  • Strong Git workflow, code review, and written communication skills
  • Practical experience using GenAI developer tools to support software delivery, with the judgment to review, adapt, test, and explain generated code

Preferred Qualifications

  • Experience building high-traffic consumer apps with millions of users
  • Media, video streaming, sports, live events, or real-time data experience
  • Experience with Firebase, Datadog, GraphQL clients, analytics platforms, remote configuration, and experimentation frameworks
  • Experience improving app startup, rendering performance, memory usage, networking efficiency, or build performance
  • Experience in large shared repositories with many contributors and multiple release trains
  • Technical leadership experience, including mentoring, architecture reviews, and cross-team delivery
  • Familiarity with responsible GenAI practices, including prompt/context hygiene, AI-assisted test creation, and evaluation of generated code quality

Senior-Level Competencies

  • Drives ambiguous product and technical problems toward clear, shippable outcomes
  • Makes pragmatic tradeoffs across quality, speed, maintainability, performance, and user impact
  • Communicates technical decisions clearly to engineering and non-engineering partners
  • Raises team standards through code reviews, design feedback, mentoring, and documentation
  • Balances feature delivery with long-term platform health and operational reliability
  • Understands the broader codebase and internal tooling deeply enough to make changes safely across module boundaries
  • Uses metrics and production signals to guide decisions rather than relying only on intuition
  • Treats GenAI as a force multiplier, not a substitute for engineering judgment, ownership, or accountability

Salary Range: $150,000 - $185,000 (Base Salary) + Bonus

As a candidate for this position, your salary and related aspects of compensation will be contingent upon your work experience, education, skills, and any other factors MLB considers relevant to the hiring decision. In addition to your salary, MLB believes in providing a competitive compensation and benefits package for its employees.

Top MLB Perks & Benefits

  • Competitive Benefits Package
  • Company 401K Contribution
  • Paid Time Off and Holidays
  • Paid Parental Leave
  • Access to Free Tickets to Baseball Games & MLB.TV
  • Discounts at MLB Store | MLBShop.com
  • Employee Assistance Programs (EAP)
  • Onsite/Online Training & Development Programs
  • Tuition Reimbursement
  • Disability Benefits (short term and long term)
  • Life and Accidental Death Insurance
  • Pet Insurance