As a Data Scientist, you will be involved in driving insights and strategy for the product team, creating and measuring value through experimentation, creating focus through metrics and goals, and building deep learning about what is most impactful for each team. You will be able to determine the underlying dynamics of our complex ecosystem and use this to deliver insights and strategic direction, but your main focus will be a complete obsession with driving impact within the product team, drawing on whatever analytical and statistical techniques that will unlock the most benefits. National and international expected traveling time varies according to project/client and organisational needs: 0%-15% estimated.

About the Role

What you´ll be doing:

Develop deep understanding of our product experiences and opportunities for growth.
Actively contribute to roadmap and goals for the product team.
Drive regular cross functional team reviews to measure progress toward goals.
Discover and articulate new product opportunities helping shape the team's direction.
Support product experiments, launches, growth through data-driven decision making while keeping the team accountable and impactful.
Define focus through metrics to enable a broad spectrum of learning from experimentation/release cycles.
Communicate complex results and recommendations to senior stakeholders in a clear, business-focused way.

Qualifications

5+ years commercial experience using data science and analytics to drive business decisions.

Required Skills

Proficiency with SQL and Python.
Experience with tools like R, AWS Athena and more.
Ability to distil and communicate results of complex analysis clearly and effectively to all levels including senior management.
Experience running A/B tests or using front-end data to measure how new features affect user engagement.
Ability to work with complex data and analyze it to find clear insights and practical solutions.
Strong presentation/communication skills like PowerPoint.
Strong data visualisation skills using tools like Tableau, Spotfire, Power BI etc.
Expertise in predictive modelling, including both parametric (e.g. logit/probit) and non-parametric (e.g. random forest, neural net) techniques as well as wider ML techniques like clustering / random forest (desirable).

Preferred Skills

Experience with advanced machine learning techniques and frameworks.

Pay range and compensation package

Compensation details will be discussed during the interview process.