Growth Engineer (with Computer Science Background)

Fabulous

France

Sur place

EUR 50 000 - 75 000

Plein temps

14 jours+

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Résumé du poste

Fabulous is seeking a growth-focused engineer to support experimentation across growth initiatives. You will code, analyze, and contribute across the Growth team’s workstreams while collaborating with Product Development and Data Science.

The role emphasizes learning in growth product management, code reviews, and overseeing experiment translations across platforms to drive user experience improvements.

Qualifications

  • Background in software engineering or equivalent
  • Proficient in JSON and at least one of JAVA/Javascript
  • Understanding of statistical significance and bias
  • Knowledge of good experimental design principles
  • Passion for growth metrics and user experience
  • Data-driven mindset with analytical skills

Responsabilités

  • Support the entire experimentation processes of the Growth team. Code, analyze and work in every facet of the Growth workstreams.
  • Collaborate with the Product Development team and the Data Science team.
  • Earn and train in the skills of growth product management/product management.
  • Peer-reviewing Growth code and assisting in code review for Growth experiment.
  • Assisting with experiment launches on Google Firebase.
  • Debugging code and working closely with the product development team.
  • Assist in QAing new features prior to releases.
  • Peer-reviewing experiment analysis.
  • Owning the translations of winning experiments into other languages/across platforms, and owning this experimentation process from start to finish.

Connaissances

JSON
JAVA/Javascript
Statistics
Experimental design
Growth metrics
Data-driven

Formation

Bachelor's degree in statistics or computer science or engineering

Outils

Google Firebase
SQL

Description du poste

Overview

The Fabulous goal is to help people all over the world master the art of behavior change and build healthy habits. In joining the team, you will become a part of helping millions achieve their goals and change their lives. At Fabulous, our Growth team packs a one-two punch. Our team is made up of behavioral scientists and growth product managers. We're unique in the tech/health & wellness world, applying behavioral insights to help better our product, inform our experimentation, and optimize our growth work. We're looking for someone who is highly analytical and creative to join our team.

Responsibilities
  • Support the entire experimentation processes of the Growth team. Code, analyze and work in every facet of the Growth workstreams.
  • Collaborate with the Product Development team and the Data Science team.
  • Earn and train in the skills of growth product management/product management.
  • Peer-reviewing Growth code and assisting in code review for Growth experiment.
  • Assisting with experiment launches on Google Firebase.
  • Debugging code and working closely with the product development team.
  • Assist in QAing new features prior to releases.
  • Peer-reviewing experiment analysis.
  • Owning the translations of winning experiments into other languages/across platforms, and owning this experimentation process from start to finish.
Requirements
  • Has a background in software engineering.
  • Is very confident in JSON & JAVA or Javascript (SQL is bonus).
  • Is comfortable with statistical significance and common types of statistical bias.
  • Understands the basics of good experimental design.
  • Is passionate about growth, metrics, and providing an outstanding user experience.
  • Is data-driven and analytical. Our team strives to find user patterns and leverage them to optimize key metrics and user experience.
  • Passion for learning and an interest in behavioral science is a bonus.
Preferred Experience
  • Ideally, has a bachelor's degree in statistics, computer science, engineering, any technical major, or related work experience.
  • Has designed and run A/B RCT trials before. Understand the nuances of good experimental design.
  • Background in data science is a bonus.
  • Background/interest in ML.
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