ZipRecruiter

Log In

1

Data Science Fellowship Jobs (NOW HIRING)

Duke University

Data Analytics Fellow

Durham, NC

The Office of Information Technology at Duke University is seeking a Data Analytics Fellow to join ... Masters in Mathematics, Computer Science, or another quantitative field. Proficiency with data ...

Quantifind

Associate Data Scientist

Washington, DC · On-site

$66.80K - $67.40K/yr

Quantifind is a data science technology company whose AI platform uncovers signals of risk across ... Collaborating with fellow team members and key stakeholders, such as, Product Managers, Platform ...

Quantifind

Associate Data Scientist

Washington, DC

$66.80K - $67.40K/yr

Quantifind is a data science technology company whose AI platform uncovers signals of risk across ... Collaborating with fellow team members and key stakeholders, such as, Product Managers, Platform ...

Quantifind

Associate Data Scientist

Palo Alto, CA · On-site

$69.40K - $69.90K/yr

Quantifind is a data science technology company whose AI platform uncovers signals of risk across ... Collaborating with fellow team members and key stakeholders, such as, Product Managers, Platform ...

Quantifind

Associate Data Scientist

Palo Alto, CA · On-site

$69.40K - $69.90K/yr

Quantifind is a data science technology company whose AI platform uncovers signals of risk across ... Collaborating with fellow team members and key stakeholders, such as, Product Managers, Platform ...

next page

Showing results 1-20

People also search for

All JobsData Science Fellowship Jobs

Data Science Fellowship information

See salary details

$37.5K

$122.7K

$196.5K

How much do data science fellowship jobs pay per year?

As of May 31, 2026, the average yearly pay for data science fellowship 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 the key skills and qualifications needed to thrive as a Data Science Fellow, and why are they important?

To thrive as a Data Science Fellow, you need a strong background in statistics, programming (often in Python or R), and data analysis, usually supported by an advanced degree in a quantitative field. Familiarity with machine learning libraries, data visualization tools, and version control systems is typically required, along with experience using platforms like Jupyter or SQL databases. Critical thinking, problem-solving, and the ability to communicate complex findings clearly are essential soft skills for this role. These skills and qualities are vital for extracting actionable insights from data and effectively collaborating with multidisciplinary teams.

What types of projects and collaboration opportunities can I expect during a Data Science Fellowship?

During a Data Science Fellowship, you can expect to work on real-world, data-driven projects that tackle challenges faced by partner organizations or sponsors. Fellows often collaborate closely with multidisciplinary teams, including other data scientists, domain experts, and sometimes clients, to develop actionable solutions. This environment fosters learning through peer feedback and mentorship, while providing the chance to build a diverse portfolio. Regular meetings, code reviews, and presentations are common, helping fellows develop both technical and communication skills essential for career advancement.

What is a Data Science Fellowship?

A Data Science Fellowship is an intensive training program designed to help individuals develop advanced skills in data science, analytics, and machine learning. These fellowships typically combine hands-on projects, mentorship, and networking opportunities to prepare participants for careers in data science. They often cater to recent graduates, career changers, or professionals seeking specialized experience, and may last anywhere from a few weeks to several months. Many programs also offer real-world experience by partnering with companies for project-based learning.
More about Data Science Fellowship jobs
What job categories do people searching Data Science Fellowship jobs look for? The top searched job categories for Data Science Fellowship jobs are:
Data Science Fellowship jobs near you
Infographic showing various Data Science Fellowship job openings in the United States as of May 2026, with employment types broken down into 44% Full Time, 11% Part Time, and 45% Contract. Highlights an 94% Physical, and 6% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Hiring our Heroes Skillbridge - Data Scientist

Systems Planning and Analysis

Alexandria, VA • On-site

Full-time

Posted 20 days ago

Job description

Overview
Systems Planning and Analysis, Inc. (SPA) delivers high-impact, technical solutions to complex national security issues. With over 50 years of business expertise and consistent growth, we are known for continuous innovation for our government customers, in both the US and abroad. Our exceptionally talented team is highly collaborative in spirit and practice, producing Results that Matter. Come work with the best! We offer opportunity, unique challenges, and clear-sighted commitment to the mission. SPA: Objective. Responsive. Trusted.
SPA provides timely, objective, analytic assessments that integrate technical, operational, programmatic, policy and business analysis to a variety of Government acquisition offices. These offices span throughout the Department of Defense to include major defense programs and new weapon technology development programs. Analysts and Engineers supporting these programs would continue SPA's decades of support to high-profile, major acquisition programs.
At SPA, we are committed to our nation's Military and Veterans through our partnership with Hiring Our Heroes, providing an opportunity for transitioning service members to gain valuable civilian work experience through an individual fellowship. The fellowship is open to all ranks and experience levels.
During this program, the service member will be on-site performing an individual externship in a mid to mid to senior-level career-type role. The service member will be receiving on the job training, supporting a work schedule equivalent to 32 hours per week. The program provides a comprehensive fellowship experience including professional development, networking with leadership, and training specifically focused on our leadership principles, company history, stakeholder engagement, product and service overview, and core job responsibilities. Our goal is to provide qualified individuals with a full-time offer at the conclusion of the Skillbridge Externship program.
Responsibilities
The successful candidate will be expected to shadow and provide advanced analytical support to SPA customers in the national security and homeland defense mission spaces, applying rational, systematic, science-based techniques, and critical thinking to help inform and improve decision-making. Candidates will be expected to apply principles of mathematics and statistics, computer science, software development, and the latest technologies to design and implement an analytical infrastructure and tools, workflow processes, and complex data visualizations.
The candidate may be required to:
  • Design and execute analytical methodologies leveraging modern tools accented with personal innovation
  • Use a variety of analytic tools and techniques to evaluate data and recommend actions to overcome challenges
  • Effectively communicate data and analytic related topics to technical and non-technical audiences
  • Develop or adopt data standards and frameworks to collect, integrate and link, and manage data
  • Implement data exploration techniques, analytical methods, operations research, and modeling and simulation tools to support program execution
  • Develop, deploy, manage, and document models and analytic methods
  • Create software code to extract and transform data for use in analysis
  • Develop automated analytic algorithms to assist with data management
  • Develop plans of action and timetables in order to meet established deadlines

Qualifications
Required Qualifications (multiple levels needed): Experience in assisting with the development of professional reports to impact decision-making and a current Secret clearance, as well as
Must be an active participant in the Hiring our Heroes Skillbridge Fellowship to be considered for the Externship.
Junior:
  • Bachelor's degree in math, physical or computer science, data science, analytics, or related STEM field
  • Up to 3 years of experience conducting data analysis and assessment and presenting results

Mid:
  • Bachelor's degree in math, physical or computer science, data science, analytics or related STEM field
  • 4-10 years of experience conducting data analysis and assessment and presenting results

Senior:
  • Bachelor's degree in math, physical or computer science, data science, analytics or related STEM field
  • 10+ years of experience conducting data analysis and assessment and presenting results

Desired Qualifications:
  • Top Secret Clearance
  • Advanced Degree
  • Expertise with at least one programming or query language such as R, Python, SQL, or Cypher
  • Proficiency with relational databases or NoSQL database
  • Previous experience working with a government agency
  • Experience using methodologies that support technology and investment decisions to improve national security mission success

Apply