Data Scientist - Membership Analytics

  • Location


  • Sector:

    Data Science

  • Contact:

    Adam Oliver Brown

  • Contact email:


  • Job ref:


  • Consultant:

    Adam Brown

Intelletec is partenred with a leading Wholesale Retailer that is adding a talented Data Scientist to thier fantastic group. Within the Enterprise Analytics team you'd be transforming data into actionable insights and collaborating with business leaders to drive innovation, strategy and business outcomes.          

Senior Data Scientist

The Sr. Data Scientist will support the Membership & Data Science pillar of the Enterprise Analytics Team.  Reporting directly to the Manager of Data Science, we are looking for a curious Data Scientist who understands the foundational aspect of Data Science and will apply Data Science principles and technology to drive membership insights that will improve member acquisition, engagement, shopping, retention, and growth. 

Job responsibilities:

  • Formulate solutions to problems related to loyalty economics
  • Design analyses to support the development membership acquisition, engagement and loyalty strategies across all channels
  • Use the right statistical techniques to provide ad hoc data science support to drive data driven decision making and strategies across the membership in acquisition, engagement, loyalty, CRM and member insight space
  • Be a thought partner in the creation of our acquisition, engagement and personalization testing plans and provide “next level” insights related to the measurement of tests
  • Frame business problems and decompose their constituent parts for data science analysis and building new solutions
  • Build machine learning models and use applied statistics (supervised/unsupervised learning, lift modeling, linear/nonlinear programming, feature selection) to support the business
  • Certify all engagement and loyalty testing/measurement (hypothesis testing, A/B testing, design of experiment, sample size/power calculation)
  • Communicate data science concepts/insights to non-technical audiences

Job Requirements:

  • BSc in Computer Science, engineering (or related area), Statistics, Mathematics or equivalent experience
  • 3 years of experience in algorithms, data structures, and object-oriented programming
  • 3 years of experience in developing Machine learning models
  • 3 year of experience in crafting ad hoc data mining analysis
  • Experience in mentoring and delegating work to junior analysts
  • Implementation experience in machine learning algorithms and applications
  • Strong programming skills in at least one object-oriented programming language (Python, PySpark, SQL, Java)
  • Experience with cluster-computing frameworks (e.g. Spark, Hadoop)
  • Experience configuring & executing large, complex data pipelines with AWS/GCP/Azure technology stack (including distributed computing)
  • Eager to learn new algorithms, new application areas and new tools
  • Experience with engineering and development collaboration tool such as GIT/Jira/Confluence
  • Experience using pipeline and automation tool including Jenkins and SageMaker
  • Extract actionable insights from complex datasets using data mining, statistics, and database techniques to measure/understand/improve member acquisition/engagement KPIs
  • Excellent communication skills