Data Scientist
US Remote
1+ year experience with mathematical optimization, dynamic pricing, economics, or statistical modeling
You have experience with common machine learning algorithms and frameworks
You are proficient in a high-level programming language (we use Python).
You have strong SQL skills (we use Snowflake)
Bachelor’s or higher degree in Data Science, Statistics, Mathematics, Computer Science, or a related field
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 ShiptShipt 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 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-$164,314All other locations:
$68,405-$136,929Please 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.
ApplyJob Profile
Hybrid work arrangement In-office presence may be required
Benefits/Perks401(k) Annual bonus Dental Discretionary vacation Hybrid work Medical Opportunities for growth Paid holidays Paid Sick Leave Potential for restricted stock units Restricted stock Restricted Stock Units Sense of belonging Unique benefits Vision
Tasks- Automate processes
- Build algorithms
- Create dashboards
- Create predictive models
- Develop data pipelines
- Experimentation
- Generate ad-hoc research
- Modeling
Data Science Docker Dynamic Pricing Experimentation FastAPI GCP Kafka Kubernetes Machine Learning Machine Learning Algorithms Mathematical optimization Python R Snowflake Spark SQL Statistical modeling Tableau
Experience1 years
EducationBachelor's Computer Science Data Science Economics Machine Learning Master's Mathematics Related Field Statistics
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9