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Data Science Researcher

Lightricks Uk

We want to continue our tradition of creating award-winning apps - in London! Our R&D-oriented office offers the agility and excitement of a startup while at the same time reaping the benefits of an established and successful company.

Lightricks Germany

Lightricks continues growing, with an exciting new R&D-oriented office in Munich! Following the success of the products we've developed so far, we are expanding to new turf. We invite you to enjoy the agility and excitement of a startup while reaping the benefits of a well-established & successful company.

Benefits

  • An amazing option plan
  • Competitive salary
  • Generous pension
  • Subsidised private healthcare, lunch and gym membership.
  • Refreshments! Fruit, veggies, snacks & of course, lots of coffee!

We’re open to suggestions on perks!

Benefits

  • Competitive salary
  • Amazing stock option plan
  • 28 days of paid vacation + 13 public holidays
  • Home Office Policy
  • Team events
  • Subsidised private healthcare and gym membership
  • Relocation allowance, if needed



We’re open to suggestions on perks!

JOB DESCRIPTION

We're looking for a Data Scientist to join our fast-growing team. The ideal candidate will be intricately involved in running analytical experiments in a methodological manner, and will regularly evaluate alternate models via theoretical approaches. This is a great opportunity to become a part of an innovative team that develops methodology and analysis tools that have a great impact on our products and clients.

Responsibilities

  • Research and develop Machine Learning (ML) and statistical learning models for data analysis
  • Collaborate with BI and marketing analyst teams
  • Keep up-to-date with the latest technological trends  
  • Communicate results and ideas to key decision makers
  • Implement new statistical or other mathematical methodologies as needed for specific model or analysis

Requirements

  • Master's Degree in Computer Science, Statistics, Applied Math or related field – mandatory. Ph.D. - advantage.
  • 2+ years practical experience with R/Python/Matlab - mandatory
  • Extensive background in ML, Deep Networks, statistical analysis and data mining - mandatory
  • Great communication skills - mandatory
  • Data-oriented personality and creative thinking  - mandatory
  • Experience with SQL – advantage.

APply

If you believe you're the right fit and are interested in joining the team - please fill out the following form:

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