Data Scientist

5 Minutes ago • All levels • $73,900 PA - $166,800 PA
Data Analysis

Job Description

As a Data Scientist on the Final Mile Delivery team, you will be responsible for analyzing and improving every aspect of the delivery journey- from shopper supply and route efficiency to demand patterns and delivery outcomes. You’ll uncover trends, identify pain points, and surface opportunities to make final mile delivery faster, more reliable, and more seamless for both members and drivers. Every week you will work hands on with Tableau to build and maintain dashboards and reporting to track logistics and marketplace health. You will conduct deep-dive analyses into delivery performance, driver supply and demand dynamics and use SQL and Python daily for analysis, statistical modeling and experimentation.
Must Have:
  • Professional experience with Tableau or PowerBI
  • Strong professional experience with SQL and working with large, complex datasets.
  • Experience with Python or R for deeper analysis and experimentation.
  • Proven ability to frame logistics, delivery, or marketplace problems as structured analytical questions.
  • A passion for deeply researching and understanding data—you’re naturally curious, love digging into details, and think in terms of cause and effect.
Perks:
  • Medical coverage
  • Dental coverage
  • Vision coverage
  • 401k plan enrollment
  • Discretionary vacation for exempt team members
  • Paid holidays throughout the calendar year
  • Paid sick leave
  • Eligibility for an annual bonus
  • Potential for restricted stock units based on role

Add these skills to join the top 1% applicants for this job

game-texts
tableau
spark
python
sql

Impact

As a Data Scientist on the Final Mile Delivery team, you will be responsible for analyzing and improving every aspect of the delivery journey- from shopper supply and route efficiency to demand patterns and delivery outcomes. You’ll uncover trends, identify pain points, and surface opportunities to make final mile delivery faster, more reliable, and more seamless for both members and drivers. Every week you will work hands on with Tableau to build and maintain dashboards and reporting to track logistics and marketplace health. You will conduct deep-dive analyses into delivery performance, driver supply and demand dynamics and use SQL and Python daily for analysis, statistical modeling and experimentation.

What You’ll Need to Be Successful

  • Professional experience with Tableau or PowerBI
  • Strong professional experience with SQL and working with large, complex datasets.
  • Experience with Python or R for deeper analysis and experimentation.
  • Proven ability to frame logistics, delivery, or marketplace problems as structured analytical questions.
  • A passion for deeply researching and understanding data—you’re naturally curious, love digging into details, and think in terms of cause and effect.

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 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.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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, Seattle and New York City:

$83,300-$166,800

Metro Areas of Los Angeles and San Francisco:

$118,657.43-$166,800

All other locations:

$73,900-$147,900

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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