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Remote Data Scientist Experimentation Jobs (NOW HIRING)

Data Scientist

New York, NY ยท Remote

$130K - $135K/yr

Role: Data Scientist Location: Remote, however travel might be required as per business ... Strong understanding of model performance evaluation, experiment design, and model lifecycle ...

Data Scientist

Dallas, TX ยท On-site +1

From downtown hotels and luxury resorts to private vacation rentals and remote cabins, Vogo offers ... Experimentation & A/B Testing: Design and run controlled experiments to measure and validate the ...

As a Data Scientist in this 0-1 space, you will not just execute tasks; you will be a primary architect of our experimentation roadmap, helping us navigate the transition from a nascent offering to a ...

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 ...

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

Senior Data Scientist

Brooklyn, NY ยท On-site +1

$100K - $150K/yr

We're remote but have an office in Brooklyn, New York. We're looking for a Senior Data Scientist to ... Experiment with ranking models for customer's discovery use-cases * Analyze data to identify ...

Data Scientist

$149K - $201K/yr

Role Description We're looking for a Data Scientist to partner with product, engineering, and ... Inform future experimentation design and roadmaps by performing exploratory analysis to understand ...

Data Scientist

Seattle, WA ยท On-site +1

$192K - $288K/yr

Design, analyze, and interpret the results of experiments * Build ETL data transformation pipelines ... Science, Business Analytics, Statistics, or a related quantitative field, plus 3 years of ...

As a Data Scientist in this 0-1 space, you will not just execute tasks; you will be a primary architect of our experimentation roadmap, helping us navigate the transition from a nascent offering to a ...

NFL Data Scientist

San Francisco, CA ยท On-site +1

$140K/yr

This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ... experimentation. * Analyze results and outputs to assess model performance and identify model ...

Data Scientist

Mountain View, CA ยท On-site +1

$170K - $216K/yr

... experimental design. In this hybrid role you will report to a Data Science Manager. You will ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Aid in designing experiments to answer targeted questions * Identify and drive continuous ... Translate data science outputs into business outcomes and value delivered * Mentor and guide junior ...

Collaborate across teams to define and measure key metrics, design experiments, and uncover ... Data Science, or a related field * Fluency in SQL and proficiency in a scripting language like ...

US remote-friendly or any office location - SF, LA, CHI, NY The Data Science Team at Reddit is ... Uplevel experimentation practices on the team through guiding design, execution, and deep dive ...

Data Scientist

San Francisco, CA ยท On-site +1

$170K - $216K/yr

... experimental design. In this hybrid role you will report to a Data Science Manager. You will ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Data Scientist

Raleigh, NC ยท On-site +1

Role Summary We are seeking an experienced Data Scientist with strong expertise in Data Science ... Build repeatable paths from experimentation to deployment (batch, streaming, and low-latency ...

This role sits at the intersection of forecasting, experimentation, and workforce optimization ... City, NY (remote), and Seattle, WA (remote). Candidates must permanently reside in the US ...

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Remote Data Scientist Experimentation information

See salary details

$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.
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Data Scientist

Precision Technologies Corp

New York, NY โ€ข Remote

$130K - $135K/yr

Full-time

Posted 15 days ago


Job description

Role: Data Scientist

Location: Remote, however travel might be required as per business requirements

FTE Only

Where youโ€™re headed

Youโ€™ll creatively use data to solve business challenges, often uncovering new and transformative opportunities along the way. Applying advanced analytics, quantitative tools, and modeling techniques, youโ€™ll interpret and offer recommendations based on insights from the data.

Where youโ€™ve been

Youโ€™re a problem solver, data expert, analyst, and communicator, who can create new algorithms from scratch. You have an advanced degree in a quantitative field, such as computer science, engineering, physics, statistics or applied mathematics, and have:

Job Description:

  • Familiarity with statistical techniques, data mining, hypothesis testing, and exploratory data analysis
  • Strong knowledge of programming languages with a focus on machine learning and advanced analytics (such as Python, R, Scala)
  • Experience working with large datasets, data pipelines, and relational databases
  • A collaborative mindset with the ability to communicate complex analytical concepts effectively to both technical and nonโ€‘technical stakeholders
  • Excellent problemโ€‘solving skills with the ability to analyze issues, identify root causes, and recommend solutions quickly
  • Proven experience building, validating, and deploying machine learning models endโ€‘toโ€‘end in production environmentsย 
  • Strong understanding of model performance evaluation, experiment design, and model lifecycle managementย 
  • Ability to translate business problems into analytical frameworks and measurable success metricsย 
  • Experience working crossโ€‘functionally with engineering, product, and business teams to deliver impact at scale

ย 

Good to Have:

  • Experience with Generative AI, including large language models (LLMs), prompt engineering, fineโ€‘tuning, and retrievalโ€‘augmented generation (RAG)ย 
  • Exposure to Agentic AI concepts, such as autonomous agents, tool usage, planning, memory, and multiโ€‘agent workflowsย 
  • Familiarityย with modern ML/AI frameworks (e.g., PyTorch, TensorFlow) and MLOps tools for deployment and monitoringย 
  • Experience deploying AI solutions on cloud platforms (Azure, AWS, or GCP) with an understanding of scalability and cost considerationsย 
  • Knowledge of responsible AI practices, including model explainability, bias mitigation, and governance