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Junior Data Scientist Experimentation Jobs (NOW HIRING)

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Junior Data Scientist / Performance Data Analyst I Location: Washington, DC / Hybrid / Government Facility as Required Clearance / Background: U.S. Citizen required; ability to obtain DOJ Public ...

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Junior Data Scientist / Performance Data Analyst I Location: Washington, DC / Hybrid / Government Facility as Required Clearance / Background: U.S. Citizen required; ability to obtain DOJ Public ...

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Junior Data Scientist Experimentation information

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$37.5K

$122.7K

$196.5K

How much do junior data scientist experimentation jobs pay per year?

As of Aug 22, 2026, the average yearly pay for junior data scientist experimentation 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 does a junior data scientist experimentation do?

A Junior Data Scientist Experimentation is responsible for helping design, run, and analyze experiments—such as A/B tests—to guide data-driven decisions within an organization. They assist in collecting and cleaning data, applying statistical techniques, and interpreting the results to provide actionable insights. This role typically works closely with senior data scientists and business teams to ensure experiments are methodologically sound and findings are communicated clearly. The position is ideal for those with foundational knowledge in statistics, programming, and data analysis who are looking to build practical experience.

What types of projects and responsibilities can a junior data scientist experimentation expect to handle during their first year?

As a Junior Data Scientist Experimentation, you can expect to work on A/B testing, designing experiments to evaluate new product features, and analyzing data to provide actionable insights. Typically, you'll collaborate closely with product managers, engineers, and senior data scientists to set up experiments and interpret results. You'll also be responsible for cleaning data, running statistical analyses, and helping to communicate your findings to non-technical stakeholders. Over time, you'll gain exposure to more complex experimental designs and have opportunities to contribute to larger-scale projects as you build your skills.

What are the key skills and qualifications needed to thrive as a junior data scientist experimentation, and why are they important?

To thrive as a Junior Data Scientist Experimentation, you need a solid background in statistics, experimental design, and programming (commonly with Python or R), typically supported by a relevant degree in data science, statistics, or a related field. Familiarity with A/B testing platforms, SQL databases, and data visualization tools like Tableau or Power BI is essential. Strong analytical thinking, curiosity, and effective communication skills help you interpret results and share findings with cross-functional teams. These competencies ensure accurate experimental analyses, actionable insights, and impactful contributions to data-driven decision-making.

What is the difference between Junior Data Scientist Experimentation vs Junior Data Scientist?

AspectJunior Data Scientist ExperimentationJunior Data Scientist
Required CredentialsBachelor's in Data Science, Statistics, or related field; some certifications in experimentation or A/B testingBachelor's in Data Science, Statistics, or related field; basic knowledge of data analysis
Work EnvironmentFocus on designing and analyzing experiments, A/B testing, and optimizing processesData analysis, reporting, and building models across various projects
Employer & Industry UsageTech companies, e-commerce, marketing agenciesFinance, healthcare, tech, and consulting firms

Junior Data Scientist Experimentation specializes in designing and analyzing experiments to optimize products and processes, while Junior Data Scientist has a broader role in data analysis and modeling. Both roles require similar educational backgrounds but differ in focus and daily tasks.

What cities are hiring for Junior Data Scientist Experimentation jobs?

Cities with the most Junior Data Scientist Experimentation job openings:

What are the most commonly searched types of Data Scientist Experimentation jobs?

The most popular types of Data Scientist Experimentation jobs are:

What states have the most Junior Data Scientist Experimentation jobs?

States with the most job openings for Junior Data Scientist Experimentation jobs include:

Lead Data Scientist - Experimentation

State Farm

Bloomington, IL • On-site

$97 - $142/hr

Other

Medical, Dental, Vision, Retirement

Re-posted 10 days ago


State Farm rating

7.3

Company rating: 7.3 out of 10

Based on 1,557 frontline employees who took The Breakroom Quiz

239th of 311 rated insurance


Job description

Overview

Being good neighbors – helping people, investing in our communities, and making the world a better place – is who we are at State Farm. It is at the core of how we operate and the reason for our success. Come join a #1 team and do some good!

HYBRID: Qualified candidates must live or relocate within a 180-mile radius of a hub location listed below and should plan to spend time working from home and some time working in the office as part of our hybrid work environment.

HUB LOCATIONS: Bloomington, IL; Dunwoody, GA; Richardson, TX; or Tempe, AZ

SPONSORSHIP: Applicants for this position are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g. H-1B visa) for this opportunity.

Responsibilities

A Day in the Life of a Data Scientist at State Farm:

As a data scientist on the Enterprise Experimentation Team, you will help business partners examine new ideas by formulating hypotheses and designing experiments to test those hypotheses, allowing them to accurately and confidently quantify the impact of their strategic decisions. You will serve as a subject matter expert, consultant, and advocate for experimentation. Through this role, you will work to educate others on experimentation and grow the knowledge base of experimentation across the company.

Why Join Our Team:

Being on the Enterprise Experimentation Team will help promote your professional growth across multiple areas. First, you will enhance your business acumen by collaborating with a variety of business areas across the Enterprise to produce designed experiments and actionable results. Second, you will enrich your technical skills by facing challenges that require you to dig into your analytic toolbox to identify the right solution. Finally, you will strengthen your communication skills through interactions with business partners that require you to articulate statistical concepts in non-technical ways.

Data Science at State Farm:

In this role, you will share your knowledge and work to increase the use of Experimentation for decision making across the Enterprise. Below are some of the tasks you can expect in the typical day of a data scientist:

  • Develop and validate advanced analytic models, designed experiments, and other data-driven solutions
  • Provide input into and/or build datasets to support solution development
  • Collaborate with other team members on scoping solutions and project decision points
  • Present on technical topics to peers, leadership, and other stakeholders, including non-technical business partners
  • Lead/mentor other data scientists, interns, and other technical work teams
  • Make strategic recommendations on data collection, integration, and retention requirements, incorporating business requirements and knowledge of best practices
  • Serve as a peer reviewer to other model development teams
  • Establish and leverage a network of associates with business domain and data expertise
  • Instill a business-oriented mindset that delivers business outcomes for State Farm’s AI/ML portfolio
Qualifications

Requirements:

  • Completed Masters, other advanced degrees, in an analytical field such as statistics, quantitative marketing, experimental psychology, operations research, management science, industrial engineering, etc., with 3+ years of predictive model building experience
  • Practical work experience with, and understanding of, topics associated with A/B testing and other experimental design concepts for business contexts
  • Ability to communicate basic statistical concepts (e.g., statistical significance, confidence intervals, regression models) to business partners
  • Experience building advanced analytic solutions using generalized linear models and at least one of the following: time series analysis, cluster analysis, tree-based algorithms, or neural networks
  • Experience with at least one statistical programming language: Python, R, or SAS
Other Things We Look For
  • Experience with mixed linear & non-linear model methodologies
  • Experience with statistics-based experimental designs, causal inference, or difference-in-difference based estimation
  • Experience with cloud-based environments (e.g., AWS) or Linux
  • Strong communication skills and the ability to manage multiple, diverse stakeholders across business areas and leadership levels
  • Experience gathering and interpreting business requirements for designing scalable data science solutions in a regulatory environment (e.g., insurance, healthcare, and finance).
Our Benefits

Because work-life balance is a priority at State Farm, compensation is based on our standard 38:45-hour work week!

  • Potential starting salary range: $97,000 - $142,000. Starting salary will be based on skills, background, and experience (High end of the range limited to applicants with significant relevant experience)
  • Potential yearly incentive pay up to 15% of base salary

At State Farm, we offer more than just a paycheck. Check out our suite of benefits designed to give you the flexibility you need to take care of you and your family!

  • Get Paid! On top of our competitive pay, you are eligible for an annual raise and bonus.
  • Stay Well! Focus on you and your family’s health with our robust health and wellbeing programs. State Farm pays most of your healthcare premium, and we offer multiple healthcare plan options, including a high deductible plan. All medical plans provide 100% coverage for in-network preventative care, AND you and your family have access to vision, dental, telemedicine, 24/7 mental health professionals, and much more!
  • Develop and Grow! Take advantage of educational benefits like industry leading training programs, top-notch tuition assistance programs, employee resource groups, and mentoring.
  • Plan Ahead! Plan for those big moments in life with benefits like fertility/IVF/adoption assistance, college coaching, national discount programs, interactive monthly financial workshops, free financial coaching, and more. You can also start a savings account or consider financing through our State Farm Federal Credit Union!
  • Take a Little “You” Time! You will have access to our generous time off policies designed so you can plan around holidays, family events, volunteering, or just to take a relaxing day off. With the opportunity to initially earn up to 20 days annually plus parental leave, paid holidays, celebration day, life leave (40 hours/year), bereavement leave, and community service/education support days, there will be plenty of time for you!
  • Give Back! We offer several ways to give back through our Matching Gift Program, Good Neighbor Grant Program, and the Employee Assistance Fund.
  • Finish Strong! Plan for retirement using free financial advisors and a 401(k) plan with company contributions of up to 7% of your salary.
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