Impact

As a Senior Data Scientist on the Foundations team at Shipt, you will be responsible for implementing cutting edge models, and designing and analyzing advanced experiments in collaboration with product, business, and engineering teams to solve key challenges across multiple pricing domains at Shipt.

On this highly visible team, you will be the subject matter expert in a machine learning domain or experimentation with a focus on building cutting edge ML solutions and validating the impact of algorithmic changes to key business metrics and presenting recommendations to key stakeholders. 

• 4+ years of experience in applying machine learning and statistics in an industry setting, with a track record of delivering impactful results

• PhD or Masters in Computer Science, Statistics, or a related field

• Experience with building and deploying machine learning models 

• Experience with experiment design, rollout, analysis and reporting

• 4+ years Python development

• Experience presenting to stakeholders

• Experience leading key technical projects and substantially influencing the scope and output of others

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.

Artificial Intelligence (AI), Machine Learning (ML), Machine Learning Algorithms, Python (Programming Language)Bachelor's Degree or equivalent experience | Required

Work Arrangement

To foster connection while offering continued flexibility, hybrid team members have the following in-office expectations:

Hybrid roles in Birmingham, AL typically work in-office at least 2 days per week, with core in-office days on Wednesdays and Thursdays.

Hybrid roles in Minneapolis, MN typically work in-office at least 1 day per week on either Tuesday, Wednesday, or Thursday.

Hybrid roles in San Francisco, CA typically work in-office at least 1 day per week between Monday and Thursday.

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 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 a reasonable accommodation. If you need assistance filling out a job application, please complete this form. 

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.