Product Data Scientist at Fetch Rewards

Remote
Fetch Rewards

Product Data Scientist (Remote)

  • United States

Who We Are:

  • We reward shoppers for digitizing their shopping experience.
  • Our mission is to delight the world’s shoppers with a free smartphone app that is easy, smart and fun.

Why Join the Fetch Family?

  • We make it better for users even when that’s difficult for us
  • We empower people with information and trust
  • We challenge ideas, not people
  • We think bigger and keep building
  • We find ways to bring the fun to Fetch!

We’re committed to building an empowered and inclusive community of innovative and passionate people. As a growing organization, we need team players who can go above and beyond their individual responsibilities to help our company build towards its vision. If you are a creative, hard-working, and fun-seeking person interested in working with a close-knit group of highly talented people, this is the right place for you.

Fetch Rewards is an equal employment opportunity employer.

Who We Are

We reward shoppers for digitizing their shopping experience.

Our mission is to delight the world’s shoppers with a free smartphone app that is easy, smart and fun.

We’re committed to building an empowered and inclusive community of innovative and passionate people. As a growing organization, we need team players who can go above and beyond their individual responsibilities to help our company build towards its vision. If you are a creative, hard-working, and fun-seeking person interested in working with a close-knit group of highly talented people, this is the right place for you.

Fetch Rewards is an equal employment opportunity employer.

In this role, you can expect to:

  • Apply advanced analytics and data science methods – e.g. statistics, experiment design, segmentation strategies – to help grow the business.
  • Partner with product, operations, and engineering teams to guide decision-making and inform improvements to the app and internal processes.
  • Quantify the impact of business and engineering initiatives.
  • Define and operationalize the tracking of both company-wide and department-specific KPIs.
  • Design experiments to derive insights that guide key business, product and engineering decisions.
  • Deliver presentations to high level business stakeholders that tell cohesive, logical stories using data and visualizations.
  • Build interactive dashboards that allow for tracking of key metrics, segmentation, and product understanding.
  • Search for and uncover insights in our repository of raw data, and provide tactical guidance on how to act on findings.
  • Search for and integrate new data (both internal and external) that improves our understanding of Fetch users and our consumer facing products.
  • Use technologies such as Python, Spark, SQL, Snowflake, DBT, Airflow, Tableau, AWS, Docker, and Git.

You are a good fit if you:

  • Have 3+ years of data science experience.
  • Enjoy working in an agile, fast-paced, startup environment.
  • Possess the desire and capability to influence business and engineering decisions.
  • Are able to apply the scientific method to better understand user/product relationships.
  • Can collaborate effectively with both business users and engineers to “connect the dots”, troubleshoot data discrepancies, and build analytics solutions.
  • Are proficient in SQL and at least one programming language.
  • Earned a Bachelor’s degree in Statistics, Mathematics, Computer Science or any other Quantitative field.
  • Love Dogs! . . . Or at least tolerate them. We’re a very canine-friendly workplace!

You have an edge if you:

  • Have 5+ years of data science experience.
  • Designed and delivered analytics/statistical projects for a large-scale consumer application.
  • Are biased towards solving problems from a customer-centric lens and an intuitive sense for how the work aligns closely with business objectives.
  • Are familiar with working on cross-functional teams and communicating with leadership across various departments.
  • Are proficient with the technologies in our toolkit, such as Python, Spark, SQL, Snowflake, DBT, Airflow, Tableau, AWS, Docker, and Git.

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