Data Science Manager

1 day ago

London, Greater London, United Kingdom Atana Elements Full time

About Atana Elements
Atana Elements is a data-driven critical mineral explorationcompany looking to identifynew resources around the world to help the world transition to a cleaner, greener future. The company has recently spun-out from Lilac Solutions, a leading cleantech company based out of the USA. Atana Elements is backed by some of the biggest names in cleantech including Chris SaccasLowercarbon Capital (LCC) and Hitachi Ventures.

Role Overview

In this role, you will lead Atanas growing data science divisioninbuilding innovative,cutting edge toolsand databases to facilitate critical mineral discovery. Underpinning the exploration program, yourrole will be to push the deployment of machine learning models to predict resource discovery worldwide. This role offers a unique opportunity to build a new team and apply innovative solutions to uncover resources critical to the energy transition.

In This Role, You Will

  • Lead and grow a team of data scientists to help identifyand interrogate critical mineral resources
  • Contribute directly to the development of data science toolkits that span the mineral exploration process
  • Grow global datasets of geochemical, geophysical,geologicaland commercial data from a wide array of sources
  • Manage our cloud and data infrastructure, maintaining scalability as our team grows
  • Use effective data story-telling to communicate complex analysis to the wider team
  • Foster innovation through the adoption of new applications of AI/ML models

MinimumCandidate Requirements
The ideal candidate will be a motivated and driven data science manager, with the following qualifications:

  • Bachelors degree in Statistics, Mathematics, Data Science, Engineering, Physics, Earth Science, or a related quantitative field or equivalent practical experience
  • At least 7 yearsof experience using data science to solve complex problems
  • Experience with database languages such as SQL and python scripting
  • Strong understanding of cloud-based architecture (GCP, AWS)
  • Demonstrated ability to incorporate AI models into data workflows

Preferred Candidate Requirements

  • Experience with subsurface and geospatial datasets
  • Track record of leading analytical teams
  • Ability to work in person at Atanas technical HQ in Canary Wharf, London

Compensation

  • Competitive salary and benefit package
  • Stock options in Atana Elements

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