Data Scientist

  • Cloudera Fast Forward Labs
  • London, UK
  • Permanent
  • 2 weeks remaining

We support our clients to help them create excellent data products and businesses using emerging data capabilities, and we bring the lessons learned through that work to our research and product development process. You’ll be a key member of our customer facing data science team. You’ll be solving challenging customer data science and machine learning problems in a variety of industries, and advising customers on strategy, prioritization, and data opportunity.

You’ll spend time on identifying business problems and translating them to technical problems, and developing architectures and approaches for solving those technical problems.

We expect you to read current research papers and generally stay up on emerging capabilities in the field (we focus on data and machine learning but have wide interests). You’ll also be expected to synthesize new solutions and algorithms in order to build applications that demonstrate the feasibility of these approaches in a variety of use cases.

Finally, you’ll be expected to document and communicate your work to a variety of audiences including colleagues, customers, and the public.

Skills and Qualifications:

This position requires a practical understanding of the foundations of machine learning and data science. This means understanding when/how/why to use a machine learning algorithm in a given a situation, and familiarity with standard data science approaches.

We expect you to be a strong programmer, willing to embrace software engineering best practices, and have a working knowledge of Apache Spark and Python.

We often find in applied machine learning that the art of asking the right question is more of a challenge than finding the answer. We expect you’ll be enthusiastic and skilled at formulating the right questions and thinking strategically. Sometimes the simplest solution is the best answer.

Most importantly, this position requires excellent written and verbal communication. We expect you to be able to explain nuanced technical work to audiences that range from students to engineers to executives.

UK residency is required.

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