United States onlyImpact
As a Data Scientist on the Search Science team, you will focus on improving sponsored search capabilities to help grow ad revenue, a key business priority. Longer term, you will help evolve toward a unified ranking system that balances relevance, monetization, and customer retention. You will work alongside Senior Scientists and ML Engineers who will mentor you and help you grow.As a Data Scientist you will have an impact in the following areas:
Sponsored Search Optimization: Help improve the relevance and ranking of sponsored products to increase ad revenue while maintaining a great customer experience. Analyze performance data and identify opportunities to improve sponsored product placement.
Analytics & Opportunity Analysis: Conduct data analysis to identify areas for improvement across search and ads. Build dashboards, run exploratory analyses, and present insights to stakeholders to inform product and strategy decisions.
Ranking & Relevance: Contribute to models that balance organic relevance with ad monetization. Help implement and test ranking improvements using established ML techniques.
Personalization: Help integrate user signals (purchase history, preferences) into search to improve sponsored relevance for individual customers.
Retrieval Systems: Support the development of retrieval systems that surface the right products, including work with both traditional (lexical) and newer (vector-based) approaches.
Experimentation & Measurement: Help build evaluation pipelines and run A/B tests to measure the impact of model changes.
What You’ll Need to Be Successful
Degree in a STEM field (Computer Science, Statistics, etc.) with coursework or projects in machine learning
1–3 years of experience applying data science or machine learning to real-world problems (internships count)
Strong coding skills in Python and SQL
Familiarity with ML frameworks (PyTorch or TensorFlow) and their application to ranking, recommendations, or NLP
Understanding of ranking concepts and experience with feature engineering
Comfort working with large datasets and drawing actionable insights from data
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.
Machine Learning Algorithms, Natural Language Processing (NLP), Python (Programming Language), Statistical Machine LearningBachelor's Degree or equivalent experience | RequiredWork 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 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.
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.
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:
All other locations:
$73,900-$147,900Please 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.
