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Senior Data Scientist

94% Flex
Full Remote
Mid-level (2-5 years)
Work from: 

Offer summary


University Degree in Engineering, Computer Science or Applied Mathematics, 4+ years of applied Data Science experience with an engineering focus, 2+ years hands-on experience in Digital Marketing/User Acquisition or Product/Growth, Excellent SQL and engineering skills with proficiency in data modeling using dbt or similar tools.

Key responsabilities:

  • Contribute to high-priority business projects for data-driven decision-making
  • Develop and maintain solid analytics pipelines and manage TechDebt
  • Take ownership of aspects within the team, mentor junior members and contribute proactively to team practices and documentation
  • Work closely with business teams, improve analytics architectures and navigate agility of Agile workflows
Fabulous logo
Fabulous Health, Sport, Wellness & Fitness Scaleup
51 - 200 Employees
HQ: Paris
See more Fabulous offers

Job description

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Your missions

The Data Science Team

You will be part of the data science team. We work cross-functionally with other teams to bring data-driven impact to Fabulous and its business units like Product Growth, User Acquisition and Finance.

Practically the team handles 3 data areas:

  • Data Project Management: Based on business needs, we sort requests, refine requirements and ACs with business and/or data stakeholders, prioritise, plan and executive while communicating proactive and frequently to ensure visibility and a well connected feedback loop with involved parties (reviewer, data stakeholder, business stakeholder)
  • Applied Analytics & Data Science: Data Exploration, Defining appropriate and agile analytics approach. We aim for simplicity and interpretability but don't shy away from complexity when faced with it. All new projects have a strong Data Science component during the first MVP iteration
  • Analytics Engineering: Data Modelling and Transformations to serve build, maintain and scale our Analytics Pipelines. Practically, as soon as an MVP gets validated by different stakeholders, we start implementing it and improving it iteratively in our dbt project. Testing and data observability is a highly important component. Proper architecture that helps manage TechDebt is another key element here as well.

All members of the team are expected to excel in all three areas to be autonomously impactful.

We work in an agile manner by splitting bigger projects into iterations that rarely expand beyond 3 weeks to ensure impact.

We have a modern cloud-based Data-Stack (Fivetran - Big Query - dbt - Amplitude - Metabase - Looker Studio) and want to consolidate our ranks with a capable well-rounded Senior Data Scientist who can integrate our agile context smoothly and bring value quickly.

Expectations | Duties

This role is highly critical to the continuous success of the data science team:

  • You will work on diverse high priority business projects to make Fabulous more data driven. Those projects will be in close collaboration with business teams and will aim for clear and tangible business impact like (improving accuracy of metrics, analytically exploring new growth perspectives, building well-tested analytics reporting pipelines, investigating and correcting data discrepancies, applying statistics and ML effectively...)
  • You will be responsible for contributing effectively to our code base: building, testing, reviewing and maintaining solid analytics pipelines using SQL and dbt. Help managing TechDebt and improving engineering practices and the project's architecture are also important responsibilities for this role.
  • You are expected to gradually own some aspects of the team's responsibilities (some parts of the code base, become the main point of contact with at least one business team, have a strong saying in how the analytics project's architecture should evolve, contribute to team's evolution and continuous growth...)
  • You will be expected to speak up your mind and contribute proactively and effectively to improving the team's practices, cohesion, impact and mission
  • You are expected to be highly autonomous and show a sense of ownership and ability to effectively manage your own projects and stakeholders. This should be fulfilled with minimum guidance from the Head of Data & Analytics
  • You will help mentoring more junior members and sharing knowledge and practices within the team to level up everyone's skills
  • You are expected to contribute effectively to our functional documentation in a way that is clear, concise and useful for future collaborators and readers
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.

Featured on

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.


  • 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
  • University Degree in Engineering, Computer Science or Applied Mathematics
  • A minimum of 4 years of experience in applied Data Science with strong engineering component
  • At least 2 years of previous hands-on experience with Digital Marketing/User Acquisition (aka UA) (attribution, iOS privacy & SKAN, UA metrics reporting) or Product/Growth (AB-testing, Retention, Monetisation...)
  • Excellent SQL skills with previous experience building data models for analytics purposes using dbt or a similar data transformation tool that emphasises on good engineering practices and system architecture
  • Excellent Engineering skills (testing, clean coding, peer-reviewing, CD/CI, git workflows, agile workflows, etc…)
  • Self-Starter with the ability to work autonomously and own and manage your projects fully (also manage your stakeholders and the communication with them)
  • Excellent written and verbal communication skills (English)
  • Comfortable in a remote work environment (we are a remote-first organisation)
  • Prior experience with some of the tools we use in our Data-Stack (Amplitude, dbt, BigQuery, Metabase) - or similar ones
  • Prior experience in an agile start-up environment

A professionally nourishing environment with:

  • Co-working space reimbursement
  • Monthly Workshops
  • A Book Club
  • Team Challenges
  • Team-Building Activities
  • A flexible and fully remote working environment
  • Full-time teammates decide their own vacation time
  • Wellness contributions towards for gym, therapy, Fabulous coaches

Our environment fosters deep work:

  • Few meetings and interruptions - no meetings for meeting's sake
  • Positive slack culture - #petsoffabulous and #radiofabulous
  • Flat company hierarchy - roles are focused on deliverables
  • Minimal bureaucracy - we focus on the work

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.

Required profile


Level of experience: Mid-level (2-5 years)
Industry :
Health, Sport, Wellness & Fitness
Spoken language(s):
Check out the description to know which languages are mandatory.

Soft Skills

  • Teamwork
  • Proactivity
  • Interpersonal Skills
  • Leadership
  • Autonomy
  • Mentoring

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