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Full Time Data Scientist Experimentation Jobs (NOW HIRING)

MDAEdge

Data Scientist & Experimentation Analyst

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 ...

FanDuel

Data Scientist, Experimentation

New York, NY · On-site

The Data Scientist will partner with retention marketing stakeholders and will be responsible for designing and analyzing experiments that help to answer key questions and drive promotional strategy.

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Full Time Data Scientist Experimentation information

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$37.5K

$122.7K

$196.5K

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

As of Jul 27, 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:
Full Time Data Scientist Experimentation jobs near you

Data Scientist & Experimentation Analyst

MDAEdge

Remote

Full-time

Posted 29 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.

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