Data Science Manager

11 Days Old

About Atana Elements
Atana Elements is a data-driven critical mineral e xploration company looking to identify new 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 Saccas Lower c arbon Capital (LCC) and Hitachi V entures .
Role Overview
In this role, you will lead Atanas growing data science division in building innovative , cutting edge tools and databases to facilitate critical mineral discovery . U nderpin ning the exploration program, you r role 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 identify and 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 , geological and 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

Minimum Candidate 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, E arth Science , or a related quantitative field or equivalent practical experience

At least 7 years of 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

TPBN1_UKTJ
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Location:
Poplar
Salary:
not provided
Job Type:
FullTime
Category:
Science

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