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Data Scientist

Disys Technical and Consulting Kft

Posted on Nov 24, 2021 by Disys Technical and Consulting Kft

London, United Kingdom
IT
Immediate Start
£85k - £85k Annual
Full-Time

HI! We seek a Data Engineer to join our Embedded team on behalf of our client a global energy provider HQ'd in London a Data Scientist. You will be responsible for working with the product owner and stakeholders to deliver solutions aimed at modernising and transforming business.

You will:

  • Work with stakeholders to identify opportunities for leveraging company data to drive business solutions.
  • Mine and analyze data from company databases to drive improvement of product development, marketing techniques and biz strategies.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques and develop custom data models and algorithms to apply to data sets.
  • Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
  • Developing company A/B testing framework and test model quality to implement models and monitor outcomes.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.
  • Take part in agile activities including daily scrum stand-ups, sprint reviews, and planning meetings.
  • Demonstrate incremental developments in data analysis/machine learning.
  • Understand how to SPIKE and estimate stories

Additional Requirements

  • Part of a cross-disciplinary team, of product managers, business stakeholders, data engineers, analysts and data scientists in their B2C business areas.
  • Lead the design, analysis and interpretation of product experiments
  • Identify and evangelize K.P.I.s to be used in product experimentation
  • Carry out causal inference from observational data
  • Provide technical guidance on the design of experimentation platform

Qualifications

  • Bachelors, Masters or PhD in statistics or econometrics
  • Deep statistical skills and at least 3+ years A/B tests
  • Strong programming (eg python) and SQL skills

Reference: 1409241116

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