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Executive Data Scientist Experimentation Jobs (NOW HIRING)

ADT Security Services

Data Scientist

Irving, TX · Remote

Campaign Experimentation: Design and execute evidence-based research and scientific hypothesis ... Executive Data Storytelling: Translate highly complex statistical findings into clear, beautiful ...

YO AI Labs

Data Scientist

Glendale, CA · On-site

Data Scientist * Experience: 5-15 Years * Location: Glendale, USA * Job Type: Full-time Must Haves ... executives. Key Responsibilities: * Design and Execute Experiments: Lead end-to-end A/B testing ...

Netflix

Data Scientist 6 - Experimentation Platform

OR · On-site +1

Define how data scientists contribute metrics, reports, and templates to the platform so they have high leverage when setting standards for experiments in their own space. Trust & Methodology: Verify ...

SWBC

Senior Data Scientist

San Antonio, TX

... to business and executive leadership, driving the development and deployment of intelligent ... Conduct AI experimentation and prototyping within governed sandbox environments, including ...

Swbc

Senior Data Scientist

San Antonio, TX · On-site

... to business and executive leadership, driving the development and deployment of intelligent ... Conduct AI experimentation and prototyping within governed sandbox environments, including ...

SWBC

Senior Data Scientist

San Antonio, TX · On-site

... to business and executive leadership, driving the development and deployment of intelligent ... Conduct AI experimentation and prototyping within governed sandbox environments, including ...

YO AI Labs

Data Scientist

Glendale, CA · On-site

Design and Execute Experiments: Lead end-to-end A/B testing initiatives and Geo Experiments, from ... Influence Executive Decisions: Present findings and recommendations to senior leadership ...

Delta Dental of Michigan

Data Scientist

Okemos, MI · Hybrid

To implement quantitative and predictive models, data science experiments using literate programming techniques such as Python Jupyter Notebooks, develop appropriate visualizations of data, curate ...

OpenAI

Data Scientist, Core Experimentation

Seattle, WA · On-site

$293K - $325K/yr

About the Role We are hiring a Staff-level Data Scientist to help lead the evolution of OpenAI's core experimentation platform. This role is focused on improving the statistical rigor, reliability ...

GoFundMe

Staff Data Scientist

San Francisco, CA · On-site

... executive audiences. * Collaborate with Data, Analytics, and Product Engineering to improve instrumentation, data quality, experimentation infrastructure, and reusable data science workflows.

GoFundMe

Staff Data Scientist

San Francisco, CA · On-site

... executive audiences. * Collaborate with Data, Analytics, and Product Engineering to improve instrumentation, data quality, experimentation infrastructure, and reusable data science workflows.

SWBC

Data Scientist II

San Antonio, TX · On-site

The Data Scientist II is expected to independently lead analyses and model development projects ... Build and maintain ML/AI experiment workflows using Hex for prototyping and exploration, and AWS ...

SWBC

Data Scientist II

San Antonio, TX

The Data Scientist II is expected to independently lead analyses and model development projects ... Build and maintain ML/AI experiment workflows using Hex for prototyping and exploration, and AWS ...

Swbc

Data Scientist II

San Antonio, TX · On-site

The Data Scientist II is expected to independently lead analyses and model development projects ... Build and maintain ML/AI experiment workflows using Hex for prototyping and exploration, and AWS ...

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Executive Data Scientist Experimentation information

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$37.5K

$122.7K

$196.5K

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

As of Sep 2, 2026, the average yearly pay for executive 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 is an executive data scientist experimentation?

An Executive Data Scientist Experimentation is a senior-level professional who leads and oversees the design, implementation, and analysis of experiments and data-driven initiatives within an organization. They are responsible for developing experimentation strategies, guiding teams in A/B testing, and ensuring that data insights drive business decisions. This role often collaborates with executive leadership to align data science projects with strategic goals and maximize business impact. Executive Data Scientists also mentor junior staff, set best practices, and ensure that experimentation methods are rigorous and ethical.

What are the key skills and qualifications needed to thrive as an executive data scientist experimentation?

To thrive as an Executive Data Scientist Experimentation, you need advanced expertise in statistics, experimental design, and data modeling, typically backed by a PhD or master's degree in a quantitative field. Mastery of tools such as Python, R, SQL, and platforms like AWS or Azure, along with experience in A/B testing and big data systems, is essential. Leadership, strategic thinking, and strong communication skills are crucial for guiding teams and translating complex data into actionable business insights. These skills and qualities are vital for driving data-driven decision-making and delivering impactful business results through rigorous experimentation.

How does an executive data scientist experimentation typically collaborate with cross-functional teams to drive business impact?

As an Executive Data Scientist focusing on experimentation, you will frequently partner with product managers, engineers, and business leaders to design and interpret experiments that inform strategic decisions. Your role involves translating business questions into measurable hypotheses, guiding teams on best practices for A/B testing, and ensuring rigorous analysis. Effective communication is key, as you'll need to present complex findings in a clear way that supports decision-making across the organization. This collaborative approach not only maximizes the impact of your data insights but also fosters a culture of evidence-based innovation.

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

AspectExecutive Data Scientist ExperimentationData Scientist Experimentation
CredentialsAdvanced degrees (Master's/PhD), leadership experienceBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentStrategic planning, cross-department collaboration, leadership rolesData analysis, model development, experimentation execution
Employer & Industry UsageTech companies, finance, consulting firms with strategic focusTech, e-commerce, healthcare, and other data-driven industries

Executive Data Scientist Experimentation roles focus on strategic oversight, leadership, and aligning experimentation efforts with business goals. Data Scientist Experimentation roles are more hands-on, involving designing and executing experiments to analyze data and inform decisions. Both roles require strong analytical skills, but the executive level emphasizes leadership and strategic impact.

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Executive Data Scientist Experimentation jobs near you
Infographic showing various Executive 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 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Senior Data Scientist - Experimental Design

Spartan Technologies, Inc.

West New York, NJ • On-site

Full-time

Re-posted 22 days ago

Job description

Senior Data Scientist - Experimental Design
We seek a Senior Data Scientist (Experimental Design) to join our client's Data Science Lab in a Hybrid role (2 days a week in Office). This is a Direct Hire opportunity.
Hybrid Office locations: New York, Holmdel, Stamford, Bethlehem, Pittsfield
Your Job
As a Senior Data Scientist, you will be responsible for developing advanced data science solutions leveraging machine learning and artificial intelligence to drive enterprise-wide innovation. You will collaborate with senior executives on high-impact, high-visibility projects to deliver AI/ML solutions and create value from our data and analytic products. Your responsibilities will include developing test and learn capabilities, designing and executing experiments, creating statistical and AI/ML models, and conducting A/B testing.
The Work
  • Develop Enterprise Test and Learn Capabilities
  • Investigating the current state of the art of experimentation practices and causal inferencing/ML techniques to identify opportunities for upscaling the methodology best practices
  • Develop and execute advanced data-driven experiments to optimize various aspects of client's business
  • Create test hypothesis, experiment design including KPI selection, and collect and analyze data
  • Develop statistical and AI/ML models to analyze experimental data and derive actionable insights
  • Apply statistical methods to assess the reliability and significance of experimental results
  • Conduct A/B testing, multivariate tests, and other experimental methodologies to optimize customer experience, product features, marketing campaigns, and other business objectives
  • Organize and manage data to extract insights that can be further incorporated into solution/model • Support use case development that includes initial data exploration, project/sample design, reception and processing of data, performing analysis and modeling to creation of final report/presentation
  • Data wrangling/data matching/ETL to explore a variety of data sources, gain data expertise, perform summary analyses and prepare modeling datasets
  • Utilize advanced statistical and AI/ML techniques to create high-performing predictive models and creative analyses to address business objectives and partner needs
  • Identify source data and data quality checks both in model/solution development and in production
  • Package model/solution and deployment in cooperation with Data Engineers and MLOps
  • Develop Deep Learning/Large Language Model/Generative AI capabilities
  • Map and mine unstructured data such as insurance contracts, medical records, sale notes, and customer servicing logs
  • AI/ML solutions include but not limited to enhancing underwriting risk assessment, claims auto adjudication, and customer servicing
  • Contribute to the overall Data Science organization
  • Collaborate with cross-functional teams of other Data Science, Data Engineering, Business groups
  • Contribute to standardization of Data Science tools, processes, and best practices

Qualifications
  • Combination of education in Statistics, Computer Science, Engineering, Applied mathematics or related field AND professional experience in Data Science or Data Analysis equaling either:
    • PhD with 2+ years professional experience
    • Master's degree with 4+ years professional experience
  • 3+ years of hands-on ML modeling/development experience
  • Strong theoretical foundations in probability & statistics, and causal inferencing techniques
  • Proven expertise in setting up hypotheses to assess consumer behavior, in designing, implementing and deploying tests
  • Strong programming skills in Python including PyTorch and/or Tensorflow
  • Solid background in algorithms and a range of ML models
  • Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level
  • Excellent analytical and problem-solving abilities with superb attention to detail
  • Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success

Nice to Have
  • Experience in the insurance industry
  • Experience with big data technologies such as Hadoop, Spark, and/or cloud computing
  • Knowledge of Agile development methodology
  • Experience with data visualization tools such as Tableau, QlikView, and/or D3.js

#DataScience #MachineLearning #ExperimentalDesign #AI #Python #PyTorch #Tensorflow #Algorithms #MLModeling #DataEngineering #DataWrangling #ETL #DataMatching #DeepLearning #LargeLanguageModel #GenerativeAI #InsuranceIndustry #BigData #Hadoop #Spark #CloudComputing #Agile #DataVisualization #Tableau #QlikView #D3js

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