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Remote Data Scientist Experimentation Jobs (NOW HIRING)

Data Scientist | Remote Looking for a Senior Data Scientist & Machine Learning Engineer to bridge ... You design from scratch, or convert experimental notebooks, into robust, production-ready code with ...

New

Data Scientist

$121K - $160K/yr

You are not afraid to be yourself, experiment, make mistakes and learn from them, ask questions, or ... This is a remote role; however, applicants located within 45 miles of our Westlake/Dallas, TX ...

Principal Data Scientist

$169K - $270K/yr

You will shape how Zillow measures advertiser value, scales experimentation, and turns complex data ... This role has been categorized as a Remote position. "Remote" employees do not have a permanent ...

Data Scientist Remote [within the US] ABOUT THE ROLE: We're looking for a Data Scientist to join ... Designing experiments, evaluating trade-offs, and iterating on architectures -- not just ...

Data Scientist Remote [within the US] ABOUT THE ROLE: We're looking for a Data Scientist to join ... Designing experiments, evaluating trade-offs, and iterating on architectures -- not just ...

Data Scientist Remote [within the US] ABOUT THE ROLE: We're looking for a Data Scientist to join ... Designing experiments, evaluating trade-offs, and iterating on architectures -- not just ...

This role is fully remote within the US** What You'll Do * Develop and refine modeling approaches ... Execute rapid experimentation cycles, documenting learnings and identifying promising avenues for ...

US remote-friendly Reddit has a flexible first workforce. At Reddit we continue to grow our teams ... Innovate experimental design and develop infrastructure that supports large-scale, high-velocity ...

We regularly experiment with a range of data science techniques to build tools and produce insights ... Up to 10% Travel #LI-MS1 #Remote Two Six Technologies is committed to providing competitive and ...

Remote Summary: The main function of the Data Scientist is to produce innovative solutions driven ... experiments. • Work with product engineers to translate prototypes into new products, services ...

In this role, you will apply your expertise in analytics and experimentation to solve challenging ... remote-first company * Health insurance plans through Aetna (medical and dental) and MetLife ...

Data Scientist

New York, NY · On-site +1

$180K - $220K/yr

Fully remote (EST timezone only) Why we need you Junction sits in the flow of high-value ... Experiments answer local questions. But we need someone who can define the broader scientific and ...

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 ...

Worldwide (Remote/Hybrid) Reports to: TBD About CINC Systems CINC Systems is the largest provider ... • Design experiments and analyses to validate assumptions and measure impact • Develop ...

Worldwide (Remote/Hybrid) Reports to: TBD About CINC Systems CINC Systems is the largest provider ... experiments and analyses to validate assumptions and measure impact · Develop prototypes and ...

Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position ... Drive experimentation and prototyping to accelerate innovation and reduce time to value. About ...

Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position ... Drive experimentation and prototyping to accelerate innovation and reduce time to value. About ...

Data Scientist 3

Lititz, PA · On-site +1

$130K - $150K/yr

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 ...

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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 Jun 9, 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, 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 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
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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:
Data Scientist

Contractor

Posted 2 days ago


Job description

Data Scientist | Remote
Looking for a Senior Data Scientist & Machine Learning Engineer to bridge the gap between advanced AI engineering and strategic business insights. Need to take ownership of the entire ML lifecycle-from critical data analysis to architecting production-grade, GCP-based ML pipelines and advanced analytics systems. Translate ambiguous business problems into scalable, production-grade AI solutions, drive technical excellence, and mentor team members in engineering best practices.
Roles & Responsibilities
  • Technical Ownership & MLOps: End-to-end responsibility for designing, deploying, and monitoring scalable ML pipelines and AI solutions. You design from scratch, or convert experimental notebooks, into robust, production-ready code with automated CI/CD and feature management.
  • Critical Analysis & Strategy: Autonomously dive into complex datasets to uncover growth opportunities, validate model assumptions, and deliver executive-level insights on business metrics, forecasting, and user behavior.
  • Data Engineering & Collaboration: Act as a bridge to Data Engineering teams to co-design robust data architecture. You possess strong foundational skills in building optimized data pipelines, modeling clean schemas, and ensuring high-quality data ingestion for downstream ML models.
  • Senior Leadership: Act as a strategic partner to product and business stakeholders, manage project delivery timelines, and champion rigorous code quality and best practices across the team.
  • Preferred Domain Expertise: Strong preferred experience in Marketing Science, specifically around building and calibrating Marketing Mix Models (MMMs) and attribution frameworks to optimize ROI and budget allocation.

Tools and Technologies
  • Google Cloud Platform (GCP)
    • Data & Analytics: BigQuery (Advanced SQL, BigQuery ML), Cloud Storage
    • AI & MLOps: Vertex AI (Pipelines, Model Registry, Feature Store), Agent Builders / Agent Platforms, Kubeflow
  • Languages & Core Data Science
    • Programming: Python (Expert), SQL (Advanced)
    • Libraries: Scikit-Learn, XGBoost, LightGBM, TensorFlow, or PyTorch
  • Preferred Marketing Science & Bayesian Modeling
    • MMM Frameworks: Meridian, LightweightMMM
    • Probabilistic Programming: PyMC, Stan, or similar Bayesian libraries
  • Engineering & CI/CD
    • DevOps: Git, Docker, CI/CD pipelines, Airflow