Experienced Full Stack Data Scientist – Marketplace Product Development, E-commerce and Retail Technology

Are you a data-driven professional with a passion for driving business growth through data insights? Do you thrive in a dynamic, collaborative environment where innovation and creativity are encouraged? We're seeking an experienced Full Stack Data Scientist to join our Marketplace Product Data Science team at Shipt, a retail tech company that connects people to reliable, high-quality delivery with a personal touch.

About Shipt

Shipt is a retail tech company that's revolutionizing the way people shop and receive their favorite products. With a strong presence in over 5,000 U.S. cities, we're committed to providing our customers with a seamless and personalized shopping experience. Our team is dedicated to putting our customers first, fostering a sense of belonging, and sparking opportunities for growth and development.

The Role

As a Full Stack Data Scientist on our Marketplace Product Data Science team, you'll play a critical role in advancing our understanding of customer behavior, making predictions to improve our products and experiences, and designing and measuring experiments. You'll collaborate closely with diverse teams, including product managers, engineers, and fellow data scientists, to drive business growth and innovation.

Key Responsibilities

* Collaborate with cross-functional teams to advance our understanding of customer behavior and preferences

• Develop and implement data-driven solutions to improve product experiences and customer satisfaction
• Design and measure experiments to test hypotheses and drive business growth
• Analyze and interpret complex data sets to inform business decisions
• Develop and maintain data visualizations and reports to communicate insights to stakeholders
• Stay up-to-date with industry trends and emerging technologies to drive innovation and improvement

What You'll Need to Be Successful

* Bachelor's degree in a quantitative field (e.g., mathematics, statistics, computer science, or engineering)

• Minimum of 2 years of industry experience in data science or a related field
• Experience with exploratory data analysis, statistical analysis and testing, experiment design and model development
• Familiarity with causal inference and its applications in business
• Proficiency in programming languages (we use Python) and familiarity with data analysis and machine learning libraries (e.g., TensorFlow, PyTorch, Airflow)
• Strong SQL skills (we use Snowflake)
• Experience with data visualization tools (we use Tableau)
• Demonstrated ability to learn and adapt to new technologies and applications
• Strong written and verbal communication skills, with the ability to explain technical topics to non-technical stakeholders
• Ability to work collaboratively in a dynamic, team-based environment
• Passion for continuous learning and improvement

Work Arrangement

As a remote employee, you'll have the flexibility to work from home or at a Shipt office, depending on your role and leader's expectations. We value flexibility and work-life balance, and we're committed to providing a supportive and inclusive work environment.

Benefits and Perks

* Competitive salary range: $82,086-$164,314 (Metro Areas of Boston, District of Columbia, Los Angeles, San Francisco, Seattle, and New York City); $68,405-$136,929 (All other locations)

• Comprehensive benefits package, including medical, dental, vision, and more
• Eligibility for our company's 401k plan
• Discretionary vacation for exempt team members
• Paid holidays throughout the calendar year
• Paid sick leave
• Annual bonus and potential for restricted stock units based on role
• Opportunities for professional growth and development
• Collaborative and dynamic work environment

Equal Opportunity Employer

Shipt is an equal opportunity employer and values 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.

How to Apply

If you're a motivated and data-driven professional with a passion for driving business growth, we want to hear from you! Apply now to join our team and be a part of something amazing. Apply To This Job Apply for this job