Shipt, Inc. seeks a full-time Senior Data Scientist I responsible for performing a variety of statistical analysis and machine learning tasks, ranging from designing and evaluating experiments, conducting research, developing predictive and causal models, building marketplace optimization algorithms, to informing decision-making through insights, data storytelling, and reporting. Requires a Master’s degree or equivalent in Data Science, or Mathematics and 3 years of experience working with statistical analysis and machine learning. Must also have 24 months of experience with each of the following: (1) apply advanced causal inference methods, including treatment effect estimation, counterfactual analysis, and advanced causal machine learning approaches such as Double Machine Learning, Meta-Learners and Causal Forests, to evaluate the impact of product features, policies, or business strategies; (2) apply statistical analysis and machine learning techniques to develop predictive models and solve complex business problems; (3) work in Python and utilize data analysis and machine learning, including Pandas, Numpy, LightGBM, Scikit-Learn, PyTorch, and causal inference libraries including EconML and Statsmodels; (4) consult with internal teams regarding model performance and translate analytical findings into actionable insights and decision strategies; and (5) utilize data visualization tools, including Tableau, to communicate analytical results and business insights. Employer will accept experience gained concurrently. Telecommuting available from anywhere in US. HQ at 420 20th St N, Suite 100, Birmingham, AL 35203. Salary: $123,000 to $247,000/year. Please go to our website for benefits information and to apply: https://www.shipt.com/careers/ or apply by email at [email protected].
Skills Required
- Master's degree or equivalent in Data Science or Mathematics
- 3 years of experience working with statistical analysis and machine learning
- 24 months experience applying advanced causal inference methods (treatment effect estimation, counterfactual analysis, Double Machine Learning, Meta-Learners, Causal Forests)
- 24 months experience applying statistical analysis and machine learning techniques to develop predictive models and solve complex business problems
- 24 months experience working in Python and using Pandas, NumPy, LightGBM, Scikit-Learn, and PyTorch
- 24 months experience using causal inference libraries such as EconML and Statsmodels
- 24 months experience consulting with internal teams on model performance and translating analytical findings into actionable insights and decision strategies
- 24 months experience utilizing data visualization tools including Tableau to communicate analytical results and business insights
Shipt Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Shipt and has not been reviewed or approved by Shipt.
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Wellbeing & Lifestyle Benefits — Pay is described as reaching higher hourly ranges on strong-tipping days, particularly when stacking well-tipped orders and cultivating repeat “preferred” customers. Flexibility is also positioned as a meaningful non-cash reward for those using the work as supplemental income.
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Fair & Transparent Compensation — Certain protections in California are described as providing guaranteed earnings based on active time and mileage, which can cushion low base offers compared with other states. This creates a clearer earnings floor in that market even when individual offers appear weak.
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Healthcare Strength — Corporate employee benefits are described as robust, including multiple medical plan options alongside dental and vision coverage. Company-paid therapy/coaching sessions and telehealth are also included as part of the healthcare offering.
Shipt Insights
What We Do
Shipt is a retail tech company that connects people to reliable, high-quality delivery with a personal touch. Through the power of technology, Shipt connects customers to the things they want from the stores they love, workers to new earning opportunities, and retail businesses to more satisfied customers. Headquartered in Birmingham, Alabama, Shipt brings people the flexible solutions they need with the above-and-beyond service they expect. Shipt is an independently operated subsidiary of Target Corp. and available in more than 5,000 U.S. cities. For more information, please visit Shipt's Newsroom.
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