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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 ...

Proven experience in data science or a related field. * Proficiency in programming languages such ... Strong communication skills and the ability to work collaboratively in a remote environment. Salary ...

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

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

Data Scientist

Eden, UT · On-site +1

Design and run incrementality experiments (geo, ghost bidding, holdout, PSA) that quantify ... Communicate clearly and proactively in a remote-first environment Qualifications Required

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 ...

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 ...

Data Scientist

San Francisco, CA · On-site +1

$194K/yr

Conduct experimentation and execute causal inference analyses on pricing, marketing, and product ... Position is 100% remote. Salary: $194,834 per year. Requirements: * Master's degree in Data Science ...

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 ...

... design experiments, validate models, and produce meaningful insights that feed enterprise ... This position is fully remote. Duties & Responsibilities The Data Scientist will: * Build machine ...

New

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

Fullpower-AI delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless ... Design and run experiments and clinical trials * Processing, cleaning, and combining different data ...

Data Scientist

OR · On-site +1

$75K - $140K/yr

Remote or onsite, we are committed to ensuring you are fully engaged and included in our ... Your work will power experimentation, predictive insights, and data-driven strategies that elevate ...

Serve as the primary experimentation expert throughout customer evaluations, guiding technical discussions from discovery through proof of concept. * Partner directly with data scientists, engineers ...

Data Scientist

Tukwila, WA · On-site +1

$75K - $140K/yr

Remote or onsite, we are committed to ensuring you are fully engaged and included in our ... Your work will power experimentation, predictive insights, and data-driven strategies that elevate ...

We regularly experiment with a range of data science techniques to build tools and produce insights. Our team works with agentic and generative AI, machine learning, network analysis, sampling ...

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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 1, 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.

How can I make $100,000 a year working from home?

A remote data scientist can earn $100,000 or more annually by gaining strong skills in programming, statistics, and machine learning, and by working for established companies or consulting independently. Building a robust portfolio, obtaining relevant certifications, and gaining experience in high-demand areas like experimentation and analytics can increase earning potential. Remote roles often require proficiency in tools like Python, R, and cloud platforms, and may involve flexible schedules to reach higher income levels.

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.

Can a data scientist work fully remote?

Yes, many data scientist roles, including those focused on experimentation, are fully remote, especially in companies that prioritize flexible work arrangements. Remote work often requires strong communication skills, proficiency with collaboration tools, and the ability to work independently while managing data analysis and modeling tasks. However, some organizations may have in-office requirements for certain team activities or meetings.

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

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.

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.

How can I make 2000 a week working from home?

A remote data scientist experimenter can earn $2,000 weekly by working on high-demand projects, leveraging skills in statistical analysis, machine learning, and programming tools like Python or R. Building a strong portfolio, gaining certifications, and freelancing on platforms can help increase earning potential, especially with experience and specialized expertise.

Is 40 too late for data science?

Age is not a barrier to becoming a remote data scientist. Many professionals transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and machine learning through online courses or certifications. Success depends on your ability to learn, adapt, and build a strong portfolio regardless of age.

How does a Remote Data Scientist focused on 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.
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 July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 10% Part Time, and 9% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% 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 4 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.