Data Scientist

 United States

 Full Time

Job Details

Full job description Impact As our Data Scientist you will develop Data Science and Machine Learning solutions to develop the intelligence behind Shipt's delivery promise to accommodate the needs of customers while ensuring operationally efficient, on-time, and high quality deliveries. Every day you will work on a team of 4 Data Scientists to build machine learning models in the Availability Engine. You will develop supply/demand forecasting, customer segmentation/personalization, and demand shaping strategies using Python, SQL, and Tableau. What You’ll Need to Be Successful MS of PhD in Statistics, Applied Mathematis, Computer Science, or other quantitative fields 2+ years of experience as a Data Scientist building models that help optimize business decisions You understand supply/demand forecasting, bayesian inference, market dynamics, reliability/risk, optimization. You are able to build ML models and end-to end deployment with optimization frameworks. You have experience with a statistical scripting language (e.g., R, Python), a database query language (SQL, BigQuery, etc.), and version control systems You have expertise in experimentation and general statistical modeling, hypothesis testing, causal inference, study design, and knowledge of how to leverage these skills to solve complex business problems. 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 We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, 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 any accommodations. 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. Pay Range: Metro Areas of Boston, District of Columbia, Los Angeles, San Francisco, Seattle and New York City: $82,086-$164,314 All other locations: $68,405-$136,929 Please note that the salary range above is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location.
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