Experimentation Data Scientist

We are seeking an analytical, strategic, and results-driven Experimentation Data Scientist to join our growing experimentation team. In this role, you will play a pivotal part in driving data-informed decision-making that directly impacts product development, user experience, and enterprise growth. You will partner closely with product managers, designers, engineers, and platform teams to optimize the entire A/B testing lifecycle and scale experimentation practices.

This is a high-impact technical role combining rigorous statistical modeling with cross-functional product collaboration. You will design controlled experiments, collect and clean complex data sets, quantify causal impacts, and translate statistical findings into actionable business insights. If you excel at turning ambiguity into clarity and scaling automated insights, we want to hear from you., Experimental Design & Strategy Hypothesis Testing: Collaborate with cross-functional product, engineering, and design teams to define clear hypotheses, select key performance metrics, and design controlled experiments (A/B tests, multivariate tests, etc.). Lifecycle Optimization: Partner with experimentation platform teams to identify and implement continuous improvements throughout the testing lifecycle, ensuring smooth execution at scale.

Statistical Analysis & Modeling Rigorous Evaluation: Collect, clean, and transform multi-source data to conduct rigorous statistical evaluations of experiment results and treatment effects. Statistical Modeling: Apply advanced statistical models and regression techniques (linear, logistic, etc.) to quantify uncertainty, handle non-normal data distributions, and estimate causal impacts. Data Visualization: Design compelling dashboards and visualizations to communicate experiment findings, trends, and strategic recommendations to both technical and executive stakeholders.

Collaboration & Continuous Improvement Stakeholder Partnership: Act as a trusted advisor to business leaders, translating complex quantitative findings into clear product recommendations. Tool Streamlining: Develop and streamline reliable tools and automated workflows to accelerate insight delivery across the organization. Methodology Advancement: Stay current with emerging developments in experimental design, causal inference, and data science methodologies.

Education: Bachelor’s degree in a quantitative field such as Statistics, Computer Science, Mathematics, or a related discipline (Graduate degree preferred). Experience Baseline: Minimum of 3+ years of professional experience in data science, with a primary focus on digital experimentation and product analytics. Technical Mastery: oHigh proficiency in SQL and statistical programming languages (Python and/or R). Familiarity with PySpark is a strong plus. oProven hands-on experience supporting and designing A/B tests at scale to drive product development. oSolid expertise in regression analysis techniques (linear, logistic, etc.) and handling non-normal data distributions. oFamiliarity with enterprise A/B testing platforms (e.g., Optimizely, Adobe Target, or custom internal frameworks). Core Competencies: Exceptional communication and presentation skills; comfort with ambiguity; proactive self-starter capable of thriving with minimal oversight in a fast-paced environment.

For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major medical, dental, vision, 401k and any statutory sick pay where required.

We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please contact your staffing representative who will reach out to our HR team.

AllSTEM Connections participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program. _Participation_Poster_ES.pdf

We also consider for employment qualified applicants regardless of criminal histories, consistent with legal requirements, including, if applicable, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, we will consider for employment-qualified applicants with arrest and conviction records, including, if applicable, the San Francisco Fair Chance Ordinance. For Los Angeles, CA applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.