Senior Decision Scientist

4 days ago

Bengaluru, Karnataka, India Tesco Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Job description:

Enable data driven decision making across the Tesco business globally by developing analytics solutions using a combination of math, tech and business knowledge.

In this job, I am accountable for:

Following our Business Code of Conduct and always acting with integrity and due diligence and have these specific risk responsibilities:

  • Understands business needs and in depth understanding of Tesco processes
  • Builds on Tesco processes and knowledge by applying CI tools and techniques.
  • Responsible for completing tasks and transactions within agreed KPI's
  • Solves problems by analyzing solution alternatives

    Engaging with business & functional partners to understand business priorities, ask relevant questions and scope same into a analytical

    solution document calling out how application of data science will improve decision making

    In depth understanding of techniques to prepare the analytical data set leveraging multiple complex data set sources
  • Building Statistical models and ML algorithms with practitioner level competency

    -Writing structured, modularized & codified algorithms using Continuous Improvement principles (development of knowledge assets and

    reusable modules on GitHub, Wiki, etc) with expert competency
  • Building easy visualization layer on top of the algorithms in order to empower end-users to take decisions - this could be on a

    visualization platform (Tableau / Python) or through a recommendation set through PPTs

    Working with the line manager to ensure application / consumption and proactively identifying opportunities to help the larger Tesco business with areas of improvement.

Experience relevant for this job:

  • Applied Math: Applied Statistics, Design of Experiments,
  • 2 - 4 years experience in data science application in Retail or

    Regression, Decision Trees, Forecasting, Optimization

    CPG Preferred algorithms, Clustering, NLP
  • Functional experience: Marketing, Supply Chain, Customer,
  • Tech: SQL, Hadoop, Spark, Python, Tableau, MS Excel, MS

    Merchandising, Operations, Finance or Digital

    PowerPoint, GitHub
  • Business: Basic understanding of Retail domain
  • Soft Skills: Analytical Thinking & Problem solving,

    Storyboarding, Articulate communication

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