Senior Data Scientist II

US AL Remote

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ImpactAs a Senior Data Scientist II working on the multi-sided marketplace team you will be responsible for data science aspects of bundling, coverage and simulations at Shipt. You will explore, validate and test data science best practices and new methodologies to increase rigor of data, statistical analysis, experimentation and modeling to empower data-driven decision making at Shipt. 
While no day will look the same, you will work on a variety of projects in mainly the coverage, simulations space and contribute to bundling as needed. You will lead simulation initiatives and develop simulation methods to evaluate impact, lead productionalizing POC models and experimentation designs as well as build analytical tools.

What You’ll Need to Be Successful

  • 4+ years of experience with statistical inference, experimentation, and predictive modeling in an operational setting.

  • Master’s degree (economics, econometrics, statistics, computer science, other quantitative fields).

  • Experience with causal inference and uplift modeling.

  • Strong machine learning modeling (supervised learning) knowledge. Bonus: prior big data tools such as Spark.

  • Strong SQL skills (Spark, Snowflake, Postgres, Hive, Redshift, etc)

  • Coding experience in R or Python

  • Ability to work collaboratively in a dynamic, team-based environment and communicate results to diverse stakeholders.

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 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: 

$121,487-$242,974

All other locations:

$101,239-$202,478

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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Category: Data Science Jobs

Tags: Big Data Causal inference Classification Computer Science Econometrics Economics Machine Learning PostgreSQL Predictive modeling Python R Redshift Snowflake Spark SQL Statistics

Perks/benefits: 401(k) matching Career development Equity / stock options Health care Medical leave Salary bonus Startup environment

Regions: Remote/Anywhere North America
Country: United States

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