New

Experimentation Data Scientist

Spectraforce Technologies

Aug 13, 2026
Job Title: Experimentation Data Scientist Job Type: Contract-to-Hire for 1 to 1.5 year Location: SeaTac, WA (Hybrid) Position Overview We are looking for a Junior Experimentation Data Scientist to support digital experimentation and data-driven decision-making. This role will focus on A/B testing, statistical analysis, data analysis, and experimentation pipelines across areas such as merchandising, loyalty, marketing, and content. The ideal candidate has a strong foundation in data science, Python, SQL, and statistics, along with strong communication and presentation skills. Experience with Databricks and experimentation is a plus, but candidates with the right technical foundation can be trained on specific tools. Key Responsibilities Analyze data and experimentation pipelines. Support and analyze A/B tests and digital experiments. Apply statistical concepts to evaluate experiment results. Perform data quality and QA checks. Analyze experiment outcomes and identify actionable insights. Prepare presentations and communicate findings to stakeholders. Collaborate with teams across marketing, merchandising, loyalty, and content. Support the experimentation process from analysis through presentation of results. Learn and apply internal tools and processes with support from the team. Required Qualifications Strong foundation in Data Science, Analytics, or a related field. Strong Python skills. Strong understanding of statistics and A/B testing. Experience with SQL and data analysis. Strong analytical and problem-solving abilities. Excellent communication and presentation skills. Ability to work effectively with cross-functional teams. Preferred Qualifications Experience with Databricks. Experience with experimentation or testing. Experience with digital/product analytics. Experience with Optimizely or similar experimentation tools. Optimizely experience is not required. Candidates with strong data science, Python, and statistical skills can be trained on the tool. What Makes a Strong Candidate? The strongest candidates will have a solid data science and statistical foundation, strong Python skills, and experience working with data and experimentation. Extensive Optimizely experience is not necessary; technical and analytical ability is more important than specific tool experience.