…WHAT YOU'LL BRING 5+ years in data science, with demonstrated ownership of experimentation, causal inference, or predictive modeling Strong product and business sense…

…This data scientist will perform careful hypothesis generation, causal inference framework development, and model development/evaluation to ideate and drive payment strategies on our…

…Strong grounding in statistics, experimentation, causal inference, statistical power, segmentation, funnel analysis, and retention analysis. Demonstrated experience designing and analyzing product experiments and translating…

…and experience with modern data platforms such as Snowflake or Databricks Experience with causal inference, A/B testing, and experimentation frameworks at scale Preferred…

…boundaries of data science (e.g. statistical modeling, causal inference, econometrics, product growth analytics, and forecasting models) and democratize how AWS senior leaders access…

…understanding of statistical modeling, machine learning algorithms, causal inference and experimental design Experience with large-scale data processing and analysis using tools such as…

…querying relational databases (SQL) and programming languages (e.g., R / Python) Deep understanding of online experimentation (A/B testing), causal inference, and statistical techniques…

…About the Role We’re looking for a senior Machine Learning Data Scientist to lead our forecasting initiatives. You’ll be one of the…

…frequently and you need to keep pace - (Plus) Data science depth — experimentation design, causal inference, or predictive modeling - (Plus) Experience in a marketplace, exchange…

…frequently and you need to keep pace - (Plus) Data science background: experimentation design, causal inference, or predictive modeling in Python or R - (Plus) Genuine…

…You can work through complex joins across transaction-level data without supervision - Data science background including causal inference, quasi-experimental methods, or predictive modeling…

…frequently and you need to keep pace - (Plus) Data science background - causal inference, quasi-experimental methods, or predictive modeling in Python or R - (Plus…

…Growth Product Data Scientist to partner with our Growth Product and Engineering teams to drive measurable impact across the member journey — from acquisition to…

…You will lead data science initiatives that span the full lifecycle — from identifying high-value business problems and formulating hypotheses, through rigorous experimentation and…

…Experimental design and statistical analysis for A/B testing; Causal inference and quasi experiment; SQL and data modeling; Python/R for exploratory data analysis…

…the pipeline needs it, and a data science hat when a problem calls for experimentation, causal inference, or modeling. As a Staff-level individual…

…a model is only as trustworthy as the data feeding it Design and apply causal inference methods to move beyond correlation and establish which…

…as needed. - Design and execute observational and experimental studies of causal inference - Work with large, complex data sets. - Develop automated solutions to deliver insights…

…analyses using large-scale observational and experimental data, ensuring statistical rigor and reproducibility Partner with the senior economist leading this area to design research…

…that competes on statistical rigor and data infrastructure. Deep, operator-level fluency in experimentation methodology: causal inference, variance reduction, ratio metrics, sequential testing, exposure…

…We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned…

…methods from machine learning, statistics, causal inference, optimization, and economics to solve core business problems - Generate and communicate data-driven insights that influence product…

…Track record leading impactful experimentation programs. Experience with causal ML libraries (DoWhy, EconML, CausalML) at scale. Demonstrated technical leadership and mentorship. Data storytelling — translating…

…Authority in causal inference — able to design novel identification strategies and adjudicate hard causal questions. Deep statistical mastery — inference, uncertainty, experimental design, and modern…

…in recurring planning and operating cadences. - Experience mentoring scientists and shaping shared modeling, experimentation, data-quality, or production standards. What Success Looks Like In…