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Remote Data Scientist Experimentation Jobs (NOW HIRING)

MDAEdge is seeking a Data Scientist & Experimentation Analyst to support the development and evaluation of ML-driven pricing and personalization solutions. This role involves providing data-driven ...

Data Scientist

Pleasanton, CA · Remote

$75 - $80/hr

Remote Rate: $75-$80/hr on W2 Key points: Developing computer vision models that improve ... Documents and presents data science experiments and findings clearly to other data scientists and ...

Data Scientist

Phoenix, AZ · Remote

$65 - $75/hr

Senior Data Scientist , Remote. Start date is ASAP for this 12 Month Contract position. Job Title ... Contribute across the full development lifecycle, from experimentation through production release ...

This role can be remote in some US states (See below for remote work requirements) or based in one ... Work with other data scientists to design and implement experiments and glean actionable insights ...

... remote environment to deliver data science solutions that drive measurable improvements in IT Call ... Conduct rigorous model performance assessments, A/B testing, and experimental design analyses to ...

... remote environment to deliver data science solutions that drive measurable improvements in IT Call ... Conduct rigorous model performance assessments, A/B testing, and experimental design analyses to ...

... remote environment to deliver data science solutions that drive measurable improvements in IT Call ... Conduct rigorous model performance assessments, A/B testing, and experimental design analyses to ...

As a Data Scientist, you will be working with our engineering team to model complex problems and ... Design new experiments for data abstraction and categorization of sentences/paragraphs * Work with ...

Please note that remote employment in this role is restricted to candidates residing in states ... Strong collaboration skills, fostering an environment of shared learning, experimentation, and ...

Please note that remote employment in this role is restricted to candidates residing in states ... Strong collaboration skills, fostering an environment of shared learning, experimentation, and ...

... experiments, and applying causal inference techniques to observational data. You'll also harness ... Team members who choose virtual / remote work should have an adequate space to serve as their home ...

... experiments, and applying causal inference techniques to observational data. You'll also harness ... Team members who choose virtual / remote work should have an adequate space to serve as their home ...

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Remote Data Scientist Experimentation information

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$37.5K

$122.7K

$196.5K

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

As of Aug 21, 2026, the average yearly pay for remote 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 remote data scientist experimentation do?

A Remote Data Scientist Experimentation specializes in designing, conducting, and analyzing experiments such as A/B tests to inform product or business decisions. They work remotely, using statistical methods and data analysis tools to test hypotheses, measure outcomes, and provide actionable insights. Their role often involves collaborating with product, engineering, and marketing teams to ensure experiments are well-designed and results are effectively communicated. By optimizing experimentation processes and interpreting complex data, they help organizations make data-driven decisions from anywhere.

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

To thrive as a Remote Data Scientist specializing in Experimentation, you need strong proficiency in statistics, experimental design, data analysis, and a solid foundation in programming languages like Python or R, typically backed by a degree in a quantitative field. Familiarity with A/B testing platforms, data visualization tools, and cloud-based analytics systems is crucial, along with experience using SQL and machine learning libraries. Exceptional problem-solving abilities, attention to detail, and clear communication skills set top performers apart, especially when collaborating remotely. These skills ensure sound experimental methodology, actionable insights, and effective teamwork in a distributed work environment.

How does a remote data scientist experimentation typically collaborate with cross-functional teams to design and analyze experiments?

As a Remote Data Scientist specializing in experimentation, you'll frequently work with product managers, engineers, and UX researchers to identify business questions that can be addressed through A/B testing or other experimental designs. Collaboration often happens through virtual meetings, shared documentation, and project management tools. You'll be responsible for helping teams define hypotheses, select appropriate metrics, design experiments, analyze results, and communicate findings. Strong communication skills are essential, as you'll need to translate statistical insights into actionable recommendations for non-technical stakeholders.

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

AspectRemote Data Scientist ExperimentationRemote Data Scientist
CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; experience with experimentation toolsBachelor's/Master's in Data Science, Statistics, or related fields; strong analytical skills
Work EnvironmentFocus on designing and analyzing experiments, A/B testing, and causal inferenceBroader data analysis, modeling, and predictive analytics
Industry UsageCommon in e-commerce, SaaS, and product teams emphasizing experimentationUsed across various industries for data analysis and modeling

Remote Data Scientist Experimentation specializes in designing and analyzing experiments like A/B tests to optimize products, while Remote Data Scientist has a broader role in data analysis, modeling, and predictive analytics. Both roles require similar educational backgrounds but differ in focus and application.

More about Remote Data Scientist Experimentation jobs

What cities are hiring for Remote Data Scientist Experimentation jobs?

Cities with the most Remote 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 Remote Data Scientist Experimentation jobs?

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

What job categories do people searching Remote Data Scientist Experimentation jobs look for?

The top searched job categories for Remote Data Scientist Experimentation jobs are:

Infographic showing various Remote Data Scientist Experimentation job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist & Experimentation Analyst

MDAEdge

Remote

Full-time

Re-posted 24 days ago


Job description

Job Summary:
MDAEdge is seeking a Data Scientist & Experimentation Analyst to support the development and evaluation of ML-driven pricing and personalization solutions. This role involves providing data-driven insights and rigorous experimentation to enable end-to-end support for machine learning initiatives.
Responsibilities:
• Design, execute, and interpret controlled experiments (e.g., A/B tests, multivariate tests) to evaluate the effectiveness of ML models and strategies.
• Conduct exploratory data analysis (EDA), hypothesis testing, and statistical modelling to support ML and business objectives.
• Assist ML Scientists in preparing data, engineering features, and evaluating models for pricing and personalization solutions.
• Create dashboards and visualizations to track key metrics, experiment outcomes, and model performance.
• Perform deep dives and provide actionable insights on specific datasets or business questions to inform strategic decisions.
• Partner with ML Scientists, Data Engineers, and Product Managers to align on experimentation goals and ensure successful implementation of ML solutions.
Qualifications:
Required:
• 4+ years in data science, experimentation analysis, or a related role supporting ML projects and experimentation.
• Strong understanding of statistical methods, experiment design, and causal inference techniques.
• Proficiency in Python for data manipulation & machine learning (Pandas, NumPy, sci-kit-learn).
• Intermediate skills in SQL for data querying, including Window Functions, Joins, and Group By.
• Familiarity with classical ML techniques like Classification, Regression, and Clustering, using algorithms like XGBoost, Random Forest, and KMeans.
• Experience with data visualization platforms (e.g., Tableau, Power BI, Matplotlib, or Seaborn).
• Proficiency in designing and analyzing A/B and multivariate experiments, focusing on drawing actionable insights.
• Experience working with large, complex datasets, including preprocessing, feature engineering, and encoding techniques.
Company:
The world doesn't have a talent shortage. It has a talent alignment problem. MDA Edge exists to fix that. Founded in , the company is headquartered in Sheridan, WY, US, , with a team of 51-200 employees. The company is currently Growth Stage.