Data Scientist - SAS,SQL,R - eCommerce

London, South East England
08 Jul 2017
07 Aug 2017
Contract Type
Full Time

Data Scientist - SAS,SQL,R - eCommerce



Up to £62,000 + Benefits

A very successful eCommerce brand based in London is looking for an experienced insight analyst to join their data science department in the role of Data Scientist. This is an excellent opportunity for an analyst with experience using SAS, SQL or R to develop their skills and also work with big data tools such as Hive, Hadoop and Spark.

Duties and Responsibilities - Data Scientist

  • Design, plan and execute the targeting of customers through the company's targeted marketing programme
  • Create and establish advanced customer analytics - e.g. segmentation, cohort analysis and customer retention
  • Using statistical modelling methodologies to solve queries and optimise the marketing mix
  • Manage and conduct regular reporting and post campaign analysis, delivering actionable insights and recommendations using tools such as SAS, SQL, R

Skills and Qualifications - Data Scientist

  • University degree in a numerate discipline - mathematics, statistics, engineering etc
  • Experienced user of SAS, SQL, R
  • Prior experience in development of targeting and customer selections
  • Strong commercial awareness and ability to interact with various internal and external stakeholders
  • Ability to carry out a senior role within the team, as well as working independently to meet tight deadlines
  • Willing to learn new frameworks and languages as needed

Salary and Benefits - Data Scientist

Up to £62,000 + Benefits

How To Apply - Data Scientist

Please register your interest by submitting your CV via the apply link on this page. To find out more information please contact Scott Lazarus at Harnham.

Key Words:

SAS, SQL, R, Insight Analysis, Customer Insight, Customer Behaviour, Loyalty Analytics, Commercial Insight, Marketing Insight, Marketing Analytics, Segmentation, Clustering, Cluster Analysis, Regression, Propensity, Statistics, Statistical, Statistical Modelling, Modelling, London,