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Full Time Data Scientist Experimentation Jobs (NOW HIRING)

... full-time Data Scientist to join the Data Science team. The Data Scientists are responsible for ... Work with other data scientists to design and implement experiments and glean actionable insights ...

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

The Data Scientist II will work closely with senior team members to design, build, and deploy data ... experiment tracking, feature engineering, and model versioning. • Develop and deploy AI/ML ...

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 ...

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

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 ...

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 ...

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 ...

Conduct experiments and statistical analysis to evaluate the effectiveness of business strategies. * Stay updated on industry trends and best practices regarding data science methodologies and ...

Overview We are seeking a full-time Data Scientist 2 at Garmin's U.S. headquarters in the Greater ... Explore, evaluate, and experiment with emerging data science techniques, algorithms, and tools to ...

... full-time Data Scientist to join the Data Science team. The Data Scientists are responsible for ... Work with other data scientists to design and implement experiments and glean actionable insights ...

... full-time Data Scientist to join the Data Science team. The Data Scientists are responsible for ... Work with other data scientists to design and implement experiments and glean actionable insights ...

Glendale, USA * Job Type: Full-time Must Haves: * Python Machine Learning, data science, AWS ... Proven ability to manage end-to-end experimentation and causal inference analyses, from initial ...

The Senior Data Scientist will serve as a subject matter expert and strategic partner to business ... Conduct AI experimentation and prototyping within governed sandbox environments, including ...

Data Scientist 3

Lititz, PA · On-site +1

$130K - $150K/yr

... full-time Data Scientist to join the Data Science team. The Data Scientists are responsible for ... Work with other data scientists to design and implement experiments and glean actionable insights ...

Showing results 41-60

Full Time Data Scientist Experimentation information

See salary details

$37.5K

$122.7K

$196.5K

How much do full time data scientist experimentation jobs pay per year?

As of Aug 19, 2026, the average yearly pay for full time 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 the difference between Full Time Data Scientist Experimentation vs Full Time Data Scientist?

AspectFull Time Data Scientist ExperimentationFull Time Data Scientist
CredentialsTypically requires a degree in Data Science, Statistics, or related fields; certifications like Certified Data Scientist are commonSimilar educational background; often holds advanced degrees in related fields
Work EnvironmentFocuses on designing and running experiments, A/B testing, and analyzing experimental dataBroader data analysis, modeling, and predictive analytics across various projects
Industry UsageCommon in tech, e-commerce, and marketing sectors emphasizing experimentation and optimizationWidespread across industries including finance, healthcare, and retail for data-driven decision making

Full Time Data Scientist Experimentation specializes in designing and analyzing experiments to optimize products and services, while Full Time Data Scientist covers a broader range of data analysis tasks. Both roles require similar credentials but differ in focus and application within organizations.

What cities are hiring for Full Time Data Scientist Experimentation jobs?

Cities with the most Full Time 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 Full Time Data Scientist Experimentation jobs?

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

Senior Data Scientist - Experimental Design

Spartan Technologies, Inc.

West New York, NJ • On-site

Full-time

Re-posted 8 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

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