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Data Scientist Fellow Jobs (NOW HIRING)

Data Scientist Fellow Reports To: Assistant GM, Analytics Department: Baseball Analytics Job Type: Part-time, seasonal, hourly Job Summary This position is responsible for creating and analyzing ...

Data Scientist Fellow Reports To: Assistant GM, Analytics Department: Baseball Analytics Job Type: Part-time, seasonal, hourly Job Summary This position is responsible for creating and analyzing ...

... fellow software, machine learning, data, and QA engineers Qualifications * U.S. Citizenship is ... Bachelor's degree in Computer Science, Computer Engineering, Mathematics, Statistics, or a related ...

... fellow software, machine learning, data, and QA engineers Qualifications * U.S. Citizenship is ... Bachelor's degree in Computer Science, Computer Engineering, Mathematics, Statistics, or a related ...

... with fellow software, machine learning, data, and QA engineers Qualifications : Required : • U.S. Citizenship is required • Bachelor's degree in Computer Science, Computer Engineering ...

... fellow software, machine learning, data, and QA engineers Qualifications * U.S. Citizenship is ... Bachelor's degree in Computer Science, Computer Engineering, Mathematics, Statistics, or a related ...

... with fellow software, machine learning, data, and QA engineers Qualifications : Required : • U.S. Citizenship is required • Bachelor's degree in Computer Science, Computer Engineering ...

You will work across multiple segments and products, partnering with analytics engineers, fellow data scientists, and go-to-market leadership to turn complex commercial data into actionable strategy.

Review pull requests from fellow team members. * Evaluate project ideas and provide technology input, prescribing appropriate application solutions, which balance business requirements with Generac ...

Associate Data Scientist

Washington, DC · On-site

$66K - $67K/yr

Collaborating with fellow team members and key stakeholders, such as, Product Managers, Platform ... Leveraging Large Language Models (LLMs) to scale up various data science tasks (for example: data ...

Associate Data Scientist

Washington, DC

$66K - $67K/yr

Collaborating with fellow team members and key stakeholders, such as, Product Managers, Platform ... Leveraging Large Language Models (LLMs) to scale up various data science tasks (for example: data ...

Working within a centralized enterprise technology team, you'll partner closely with marketing and sales, collaborating with data engineers, analysts, and fellow data scientists to create high-impact ...

Associate Data Scientist

Palo Alto, CA · On-site

$69K - $69K/yr

Collaborating with fellow team members and key stakeholders, such as, Product Managers, Platform ... Implementing Data Science solutions in our Production Scala codebase following software engineering ...

Associate Data Scientist

Palo Alto, CA

$69K - $69K/yr

Collaborating with fellow team members and key stakeholders, such as, Product Managers, Platform ... Implementing Data Science solutions in our Production Scala codebase following software engineering ...

As a teammate, you will pair your dedication, expertise, and collaborative spirit with your fellow ... What you'll do as a Data Scientist: * Perform data mining, exploration, and analysis. * Design ...

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Data Scientist Fellow information

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$37.5K

$122.7K

$196.5K

How much do data scientist fellow jobs pay per year?

As of Jun 8, 2026, the average yearly pay for data scientist fellow in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are some common challenges Data Scientist Fellows face when transitioning from academic settings to industry roles?

Data Scientist Fellows often encounter challenges such as adapting to faster project timelines and prioritizing business impact over theoretical exploration. Unlike academic research, industry projects require efficient communication with cross-functional teams and the ability to translate complex analyses into actionable insights for non-technical stakeholders. Additionally, Fellows may need to quickly learn new tools or platforms specific to the company's data infrastructure. Embracing these changes and being open to collaborative problem-solving are key to a successful transition.

What are the key skills and qualifications needed to thrive as a Data Scientist Fellow, and why are they important?

To thrive as a Data Scientist Fellow, you need a strong foundation in statistics, programming (such as Python or R), and data analysis, often supported by a relevant degree or ongoing coursework in data science or a related field. Familiarity with tools like Jupyter Notebook, SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms is crucial. Critical thinking, problem-solving, and effective communication help fellows interpret data insights and convey findings to stakeholders. These skills ensure you can extract actionable insights from complex data and collaborate effectively within interdisciplinary teams.

What is a Data Scientist Fellow?

A Data Scientist Fellow is typically an early-career professional or recent graduate participating in a specialized training program or fellowship focused on data science. These fellows work on real-world data projects, learn advanced analytical and programming skills, and receive mentorship from experienced data scientists. The goal is to prepare them for full-time roles in data science by enhancing their technical expertise and industry knowledge. Fellowship programs often last several months and may be offered by academic institutions, companies, or nonprofit organizations.

What is the difference between Data Scientist Fellow vs Data Scientist?

AspectData Scientist FellowData Scientist
Required CredentialsTypically advanced degrees (Master's or PhD), strong statistical and programming skillsSimilar credentials, often with additional industry-specific experience
Work EnvironmentResearch-focused, often in academic or specialized industry programsBusiness-oriented, working on real-world data projects in various industries
Employer & Industry UsageResearch institutions, tech companies, or specialized programsCorporate, tech, finance, healthcare, and more
Search & Comparison IntentUnderstanding entry points or research rolesPractical data analysis and modeling roles

The main difference is that Data Scientist Fellows are often in research or training programs focusing on developing skills, while Data Scientists are employed to apply those skills directly to business problems. Fellows may have more academic or research responsibilities, whereas Data Scientists focus on delivering actionable insights.

More about Data Scientist Fellow jobs
What states have the most Data Scientist Fellow jobs? States with the most job openings for Data Scientist Fellow jobs include:
Infographic showing various Data Scientist Fellow job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 95% Full Time, 1% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist Fellow

Data Scientist Fellow

Baltimore Orioles

Baltimore, MD • On-site

$20/hr

Other

Posted 16 days ago


Job description

Title: Data Scientist Fellow

Reports To: Assistant GM, Analytics

Department: Baseball Analytics

Job Type: Part-time, seasonal, hourly

Job Summary
This position is responsible for creating and analyzing baseball datasets through the use of advanced statistical techniques, with the goal of building and maintaining interpretable predictive models and player valuation frameworks to aid in the decision-making of Baseball Operations executives.

Primary Responsibilities

  • Identify, diagnose and resolve data quality issues.
  • Work with end users to understand modeling needs.
  • Design, analyze, test and implement interpretable predictive models using R or Python.
  • Work with users and developers to create usable tools for the customers.
  • Evaluate, recommend and integrate new data sources (internal and 3rd party external data sources).
  • Complete ad-hoc reports or small studies as assigned throughout the year.
  • Execute SQL database queries to filter, clean and prepare data from existing database.

Qualifications

Required:

  • Deep passion for baseball and baseball analytics.
  • Understanding of statistics and statistical models.
  • Strong written and oral communication and presentation skills.
  • Excellent interpersonal skills and the ability to work well with staff members of all levels.

   

Desired:

  • Currently enrolled in or completed bachelor's Degree in Statistics, Analytics, Operations Research, Mathematics, Computer Science, or equivalent.
  • Experience with SQL.
  • Experience with R or Python and pragmatic mathematical modeling.
  • Experience with statistical analyses, data mining techniques, and working with large datasets.

The anticipated hourly rate for this role is $20/hour.  

This information is being provided in accordance with the Maryland Equal Pay for Equal Work - Wage Range Transparency law.