…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…

…The Senior Data & Applied Scientist brings product/program analytics experience, including customer journey and funnel analytics, causal measurement, and experimentation frameworks. In this role…

…As a Senior Applied Scientist on our team, you will focus on building state-of-the-art ML models for healthcare. Our team rewards…

…Responsibilities Causal Measurement & Business Impact Design and apply causal inference approaches (e.g., quasi-experimental methods, incrementality testing, observational analysis) to estimate the true…

…Machine Learning (recommendation, ranking, prediction, experimentation), Statistical Modeling & Causal Inference (observational and experimental data), Product analytics/strategy (beyond dashboards: root cause, goaling, design collaboration…

…Uplevel the Data Science Organization: Mentor Staff and Senior data scientists, sponsor high-impact technical work, and raise the bar for causal inference, measurement…

…and lift testing, and causal inference at scale. Experience managing or technically leading a small team of data scientists, with demonstrated success developing talent…

…As a Senior Staff Data Scientist, you'll define how we use data to build better robots and make better decisions. This is a…

…Data Science, Statistics, Economics, or a related quantitative field, or equivalent demonstrated expertise in formal analytical techniques. Applied industry experience using causal inference, experimentation…

…with Product, Engineering, Data, Design, Operations, Clinical and Customer Success teams - Proficiency in forecasting, experimentation, causal inference - Experience with data modeling, ideally using dbt…

…We are seeking an experienced Senior Data Scientist to drive high‑impact analytics for iCloud and Apple’s cloud services. You will collaborate across…