Data Science Apprentice (Remote)
What we’re building and why we’re building it.
Fetch is a build-first technology company creating a rewards program to power the world. Over the last 5 years we’ve grown from 0 to 7M active users and taken over the rewards game in the US with our free app. The foundation has been laid. In the next 5 years we will become a global platform that completely transforms how people connect with brands.
It all comes down to two core beliefs. First, that people deserve to be rewarded when they create value. If a third party directly benefits from an action you take or data you provide, you should be rewarded for it. And not just the “you get to use our product!” cop-out. We’re talkin’ real, explicit value. Fetch points, perhaps.
Second, we also believe brands need a better and more direct connection with what matters most to them: their customers. -- Brands need to understand what people are doing, and have a direct line to be able to do something about it. Not just advertise, but ACT. Sounds nice right?
That’s why we’re building the world’s rewards platform. A closed-loop, standardized rewards layer across all consumer behavior that will lead to happier shoppers and stronger brands.
Fetch Rewards is an equal employment opportunity employer.
The Data Science Apprentice will be a part of the Fetch Rewards Data Science team, helping to build out predictive modeling tools to improve user experience. This apprenticeship will be 3 months, with the possibility of being hired on permanently.
In this role, you can expect to:
- Apply advanced analytics and data science methods - e.g. statistics, machine learning, segmentation strategies - to help grow the business.
- Partner with analytics and engineering teams to guide decision-making and inform improvements to the app and internal processes.
- Develop model training pipelines to allow for rapid/reproducible outcomes.
- 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 an interest in Data Science, and an understanding of predictive analytics.
- Enjoy working in an agile, fast-paced, startup environment.
- Possess the desire and capability to influence business and engineering decisions.
- Are able to identify fundamental relationships between unique data assets.
- 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 3+ years of business experience.
- Have experience with big data architectures.
- 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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