• Join the Experimentation Platform team to shape systems that drive data-informed product decisions • Design, build, and evolve internal A/B testing and metrics platforms • Collaborate closely with data scientists and engineers to deliver user-facing capabilities • Enable new experimentation methodologies and develop tools to help teams move faster

Impact As a Senior Data Scientist on the Marketplace Product Data Science team, you will collaborate closely with diverse teams (including product managers, engineers, and fellow data scientists) to advance our understanding of the customer, make predictions to improve our products and experiences, and design and measure experiments. Our ideal candidate will be data-driven, intellectually curious, technically and statistically rigorous, and a clear communicator. In this role you will bring strong technical expertise and develop a thorough understanding of our data to drive insights in the areas of customer acquisition, engagement, retention, and loyalty through causal inference and experimentation methods. You will contribute to organizational maturity in data storytelling and best-in-class ML and statistical approaches and design product experiments to test business hypotheses, apply rigorous statistical analyses, and interpret the results to draw impactful insights. What You’ll Need to Be Successful Advanced degree preferred in a quantitative field, and a minimum of 4 years of industry experience. Experience with exploratory data analysis, statistical analysis and testing, experiment design and model development, and knowledge of how to leverage these skills to solve complex business problems. Expertise in causal inference. Proficiency in programming languages (we use Python) and experience with data analysis and machine learning libraries (e.g. TensorFlow, PyTorch, Airflow, etc). Strong SQL skills (we use Snowflake). Experience with a data visualization tool (we use Tableau). Demonstrated ability to learn and embrace new technologies, applications, and solutions. Strong written and verbal communication skills and the ability to explain technical topics to data scientists, engineers, and business partners. Ability to work collaboratively in a dynamic, team-based environment. Experience as a technical lead and a passion for mentoring. Skills & Education This list includes key skills used in this job but is not inclusive of all skills needed for the role. Please see any required education below. Causal Inference, Data Analysis, Data Science, Tableau (Software) Bachelor's Degree or equivalent experience | Required Work Arrangement Shipt considers candidates located near a Shipt office or workspace in Birmingham, San Francisco, or Minneapolis to be hybrid, which means that they have the flexibility to work from home (with leader approval) or at a Shipt office in order to facilitate the ability to innovate, collaborate, and spark team connections. In-office expectations will vary by role and leader.  Certain roles may require in-office presence on a full-time basis. Please work with your recruiter to learn more about the classification of this role. About Shipt Shipt is a retail tech company that connects people to reliable, high-quality delivery with a personal touch. Shipt connects customers to the things they want from the stores they love, retail businesses to more satisfied customers, and workers to new earning opportunities. At Shipt, we aim to put our team first to boost a sense of belonging, spark opportunities for growth, provide unique benefits and commit to giving back to our communities in ways that make life better, both personally and professionally. We understand that our service, our culture, and our connection to our communities are only made better by every single person who shows up to work here every day. Learn More. Shipt is an independently operated, wholly owned subsidiary of Target Corporation and available in more than 5,000 U.S. cities. Shipt was founded and is headquartered in Birmingham, Alabama. For more information, please visit Shipt’s company site at Shipt.com. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of r ace, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or any other characteristic protected by law. Please inform your recruiting contact upon initial connection if you need a reasonable accommodation. If you need assistance filling out a job application, please complete this form . For technical interviews, Shipt uses an online coding platform. In the event you may need a reasonable accommodation to use the online coding platform, please connect with your recruiter. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Employees (and eligible family members) are covered by medical, dental, vision and more.  Employees may enroll in our company’s 401k plan. Employees will also be eligible to receive discretionary vacation for exempt team members, paid holidays throughout the calendar year and paid sick leave.  Other compensation includes eligibility for an annual bonus and the potential for restricted stock units based on role.

• Partner closely with engineering, product, and design to architect and deliver a backend platform purpose-built for product analytics workloads. • Lead high-visibility technical initiatives, including: • Define the technical roadmap for Product Analytics and align multiple engineering teams around shared goals and architectural principles. • Work across organizations to bridge product needs with the right internal or external technologies. • Provide technical mentorship and help grow the next generation of senior engineers within the team.

• Partner closely with engineering, product, and design to architect and deliver a backend platform purpose-built for product analytics workloads. • Lead high-visibility technical initiatives, including: • Define the technical roadmap for Product Analytics and align multiple engineering teams around shared goals and architectural principles. • Work across organizations to bridge product needs with the right internal or external technologies. • Provide technical mentorship and help grow the next generation of senior engineers within the team.