Finoa GmbH is hiring a
Web3 Head of Data Science and Analytics (m/f/d)

Location: Berlin Germany

Job description

As Finoa’s Head of Data Science and Analytics, you will build and lead a team with the best data scientists and analytics specialists. You and your team will, among other things, support Product in building the best products, support Tech to understand operational challenges, and offer Business, Marketing and Management customer and market insights as well as ecosystem insights from on-chain analysis.

To be successful in this role you have experience of building and managing world-class engineering teams and/or data science teams, and will have a track record of driving data-informed decisions in scale-up companies.

Responsibilities

  • Grow, lead and inspire a team of data scientists and analytics specialists

  • Define, develop and promote the Data Science and Analytics strategy and roadmap

  • Partner with Product and cross-functional teams to inform, influence, and support data-driven decisions in products

  • Work with management and business functions to deliver data driven outcomes

Requirements

  • Experience from managing Data/Analytics teams, working collaboratively with Tech, Product, and cross-functional partners

  • Hands-on background expected, implementations within data engineering or data science, preferably having delivered solutions end to end as well as architecting data warehouses / data lakes

  • Deep understanding of the requirements of key stakeholders and ability to translate it to an actionable plan for data scientists, data engineers and data analysts

  • Demonstrated experience in hiring, retaining and scaling diverse, distributed, high performing teams

  • Highly proficient with SQL, cloud computing environments as well as data warehouse and data lake architecting

  • Working knowledge of modern and current Data, ML and Analytics tooling

  • Experience of web and app tracking

  • Experience from blockchain, crypto currency protocols, validators, etc is huge plus

  • Recent experience of regulated businesses required, ideally fintech or insurtech

  • Start-up / Scale-up experience

  • EU resident or visa holder, able to spend time in Berlin or Porto as needed

Why you should apply

Diverse and inclusive team: We are from 20+ different countries with diversity of both thought and background on a mission to disrupt the digital asset industry. We support each other and take pride in our achievements. We attract talents from companies like Google, N26, SumUp, Goldman Sachs, Moonfare, and McKinsey.

Ownership & learning-curve: Opportunity to shape the future financial system, promoting a more equal and innovative society. We encourage shared responsibility through distributed leadership while sharing success and learning from mistakes.

Communication: We treat our staff like owners by being open, transparent, and providing regular communication about our direction and progress. We provide regular insights into decision making, strategy, and company-wide OKR progress so that each of our employees is aligned and empowered. We are also always aiming to improve how we can communicate more effectively.

Office: We offer both the flexibility to work remotely or to work in >

Finoa is an equal opportunity employer devoted to diversity and inclusion in the workplace. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status.

Apply Now:

This job is closed

Location: Berlin Germany

This job is closed


Receive similar jobs:

Remote Web3 Data Scientist Jobs

Job Position and Company Location Tags Posted Apply

Remote

Apply

Remote

Apply

Remote

Apply
Remote
Apply

Remote

Apply
London, United Kingdom
Apply

Remote

Apply

Remote

Apply
Remote
Apply
Remote
Apply

Recommended Web3 Data Scientists for this job

/@violet

Violet



See Profile
/@elfeenah

Elfeenah



See Profile
/@ebikis

Ebikis



See Profile
/@yoobo

Yoobo



See Profile
/@koushalvichare

Koushalvichare



See Profile
Cover Letter / AI Interview