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Shipt
Senior Data Scientist I
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What they do
A Data Scientist utilizes skills and experience to systematically answer questions using data to provide actionable recommendations. Commonly utilizes advanced statistical analysis and machine learning techniques. Common responsibilities also include data cleaning and data management.
$100,790 / year median in the U.S.
+19% projected growth
Job Description
Senior Data Scientist I Shipt - 3.3 Birmingham, AL Job Details Full-time $123,000 - $247,000 a year 1 day ago Qualifications AI models Statistics Data visualization software proficiency Predictive modeling analysis Data reporting AI platforms (beyond public GPTs) Business intelligence tools Data-driven problem-solving Predictive analytics projects Machine learning libraries Model evaluation Machine learning frameworks Data visualization projects Data analysis software Full Job Description 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.