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Freelance Data Scientist Experimentation Jobs (NOW HIRING)

Apple

Staff Data Scientist - Experimentation

New York, NY

$184K - $324K/yr

  • Medical

  • Dental

  • Retirement

Collaborate with stakeholders and data scientists to design experiments and statistical methods that account for the marketplace dynamics and yield reliable treatment effects. Provide expert ...

Apple

Staff Data Scientist - Experimentation

New York, NY

$184K - $324K/yr

  • Medical

  • Dental

  • Retirement

Collaborate with stakeholders and data scientists to design experiments and statistical methods that account for the marketplace dynamics and yield reliable treatment effects. Provide expert ...

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Freelance Data Scientist Experimentation information

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

As of Aug 19, 2026, the average yearly pay for freelance 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 freelance data scientist experimentation do?

A Freelance Data Scientist specializing in experimentation designs, runs, and analyzes experiments (such as A/B tests) to help organizations make data-driven decisions. Their work involves formulating hypotheses, determining the right experimental design, collecting and cleaning data, and interpreting the results to provide actionable insights. Because they work on a freelance basis, they often collaborate with various companies on short-term projects or specific business challenges. Their expertise helps businesses optimize products, marketing strategies, and user experiences based on statistical evidence.

What are the key skills and qualifications needed to thrive as a freelance data scientist experimentation?

To excel as a Freelance Data Scientist Experimentation, you need expertise in statistical analysis, experimental design (such as A/B testing), and proficiency in programming languages like Python or R, often supported by a degree in a quantitative field. Familiarity with tools like SQL, data visualization platforms (e.g., Tableau), and cloud-based analytics solutions, along with certifications in data science or analytics, is highly valuable. Strong communication, problem-solving abilities, and adaptability help you interpret results and collaborate with diverse clients. These skills ensure you can independently design rigorous experiments, deliver actionable insights, and build client trust in dynamic freelance environments.

How do freelance data scientists experimentation typically collaborate with clients and stakeholders during a project?

Freelance data scientists in experimentation roles often work closely with clients to understand business objectives, design experiments, and interpret results. Collaboration usually takes place via regular check-ins, virtual meetings, and shared project management tools. Clear communication is crucial, as freelancers must articulate experimental design choices, present findings, and provide actionable recommendations to both technical and non-technical stakeholders. Establishing expectations and maintaining transparency throughout the project helps ensure successful outcomes and fosters long-term client relationships.

What is the difference between Freelance Data Scientist Experimentation vs Freelance Data Analyst?

AspectFreelance Data Scientist ExperimentationFreelance Data Analyst
CredentialsTypically requires advanced degrees in data science, statistics, or related fieldsOften requires a degree in statistics, mathematics, or related fields
Work EnvironmentFocuses on designing and testing experiments, A/B testing, and model developmentInvolves data cleaning, reporting, and basic analysis of datasets
Industry UsageCommon in tech, e-commerce, and marketing for product optimizationUsed across various industries for reporting and business insights

Freelance Data Scientist Experimentation specializes in designing experiments and developing predictive models, often requiring advanced technical skills. Freelance Data Analysts focus on interpreting data, creating reports, and providing insights. While both roles analyze data, the experimentation role emphasizes testing and model validation, making it more technical and experimental in nature.

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Freelance Data Scientist Experimentation jobs near you

Senior Data Scientist - Experimentation & Measurement

Sony Interactive Entertainment (SIE)

San Mateo, CA • On-site

$178K - $268K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 12 days ago

Job description

Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn't just the Best Place to Play - it's also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we're part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Senior Data Scientist - Experimentation & Measurement
San Mateo, CA
Overview:
As a Senior Data Scientist on the Decision Science team within the Data Science, Analytics, & Enablement (DSAE) organization at PlayStation, you will take a leading role in designing and interpreting experiments that evaluate the impact of PS4 to PS5 user migration initiatives, growth marketing strategies, and broader campaign performance. This role is focused on advancing our experimentation practices-bringing statistical rigor, clear measurement strategies, and deep causal inference expertise to some of the most critical initiatives across PlayStation.
What You'll Be Doing:
  • Lead the design, execution, and interpretation of A/B tests and quasi-experiments to evaluate the impact of user migration initiatives (PS4 to PS5), growth marketing strategies, and campaign performance.
  • Partner with cross-functional teams (product, engineering, marketing) to embed experimentation into development and iteration cycles.
  • Serve as a thought leader on best practices for hypothesis development, metric selection, test structure, and results communication.
  • Apply advanced causal inference methods when experimentation isn't feasible or to inform test design and prioritization.
  • Help define and contribute to centralized experimentation frameworks, tools, and documentation to scale best practices across the company.
  • Independently extract, transform, and analyze data from complex systems using SQL, Python, and other analytics tools.
  • Communicate findings clearly to technical and non-technical stakeholders, helping drive business decisions with rigor and clarity.
  • Stay current on new methodologies in experimentation and causal analysis, and bring fresh perspectives to the team's work.

Basic Requirements:
  • Bachelor's degree or equivalent.
  • 5+ years of experience in a data science experimentation-focused role (3+ with PhD).
  • Deep expertise in A/B testing and causal inference, including quasi-experimental methods.
  • Proficiency in SQL for data extraction and transformation.
  • Proficiency in Python, including statistical and data science libraries.
  • Broad and applied knowledge of statistical techniques and machine learning modeling methods.
  • Proven ability to influence product and business decisions through clear, actionable insights.
  • Experience contributing to or developing experimentation frameworks, best practices, or internal tooling.
    Preferred Requirements:
  • Master's or PhD in Statistics, Economics, or Econometrics. Other degrees in quantitative disciplines may be considered.
  • Bonus: Interest in or knowledge of video games, gaming platforms, or player behavior.

#LI-KC
At SIE, we consider several factors when setting each role's base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role is eligible for SIE's top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more.
The estimated base pay range for this role is listed below.
$178,900-$268,300 USD
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

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