You will be part of the data science team. We work cross-functionally with other teams to ensure that our colleagues have the needed data, reports, analyses, and models needed to make data-driven decisions as well as improve the user experience. Our main stakeholders are the Growth and User Acquisition teams and we are expanding our services and products further to support other teams.

Expectations | Duties

In this role, you will get exposed to our data warehouse, data pipelines, and models. Depending on the current priorities and your practical skill set, you can find yourself contributing to:

• Data & Analytics Engineering to consolidate our data pipelines
• Conducting Ad-Hoc Analyses and building Ad-Hoc dashboards to support business teams and help them monitor their metrics
• Exploratory Product Analyses to look for insights and come up with actionable recommendations for the Growth team

Working at Fabulous

Fabulous is a mobile app helping thousands of people every day to change their lifestyles by integrating healthy habits into their lives. Fabulous is using a behavioral economics lens to help everyone achieve their fullest potential. We work closely with researchers based at Duke University and our advisor is Dan Ariely, author of NYT bestseller Predictably Irrational.

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Michelangelo, the famous Italian sculptor, once said: “Every block of stone has a statue inside it, and it is the task of the sculptor to discover it.”

At Fabulous, every team member is a sculptor in their own right. Together, we help millions of users step out of their block of stone and step into the fullest version of their life.

Awards

• Apple Best Apps of 2018
• Editor’s app choice in more than 30 countries.
• Winner of Google’s Material Design Award
• Best App Finalist in Google Play Awards
• Ranked 5th Health & Fitness app

• Pursuing a degree in Engineering, Computer Science or Applied Mathematics
• Good understanding of basic engineering practices (agile methodology, testing, clean coding, peer-reviewing, continuous integration, git workflows, etc…)
• Solid theoretical and practical knowledge around Analytics, Statistics, and Data in general
• Good written and verbal communication skills (English) to be able to refine requirements from your business stakeholders, discuss your methodology with your teammates and present your results when needed to higher-ups and other colleagues from other teams
• Willingness to learn and adapt your skills to an agile production-focused context. Practical experience here is a great bonus
• Practical knowledge and relevant experience in SQL (We use dbt for data engineering, BigQuery as a data warehouse). You can also use R or Jupyter for analyses purposes as well

Good to Have:

• Prior experience with some of the tools we use in our Data-Stak (Amplitude, dbt, BigQuery, Metabase)
• Strong engineering practical experience (production)
• Deep understanding of statistics and AB-Testing
• Prior experience in an agile environment

Even if you don’t fulfill all our requirements, feel free to send us an application if you think that you have the attitude and mindset needed to learn, grow, and succeed at Fabulous.

A professionally nourishing environment with:

• Monthly Workshops
• A Book Club
• Team Challenges
• Team-Building Activities
• A flexible and fully remote working environment

And the opportunity to work on a fast-growing product with a large user base that is frequently among the Top 10 most downloaded Health and Fitness apps that makes real change in people's lives.