Tesco : Lead - Applied Data Scientist

Brief Description of position:

Job Description:


Lead :

  • Support data driven decision making for business functions across Tesco and TBS by developing analytics solutions using math tech and business knowledge
  • Follow Tesco's Business Code of Conduct and always act with integrity and due diligence
  • Engage with markets to understand problems to be solved translate the business problems to analytics problems taking ownership of specified analytical modules guide team to solve them and translate the answers back to decision makers in business terms.
  • Execute analytics projects that will result in disproportionately high value delivery
  • Develop analytical assets that are deployed in production environment and will deliver value on sustained periods of time
  • Drive efficiency gains by automating repeatable tasks report creation or dashboard refresh
  • ollaborate and guide colleagues to design execute and measure analytical solution
  • Accountable for high quality and timely completion of specified work deliverables
  • Write codes that are well documented structured and compute efficient
  • Contribute to development of knowledge assets and reusable modules on GitHub/Wiki
  • Driving CI culture implementing CI projects and innovation for withing the team
  • Process Mapping Tools and Techniques Problem Solving and Process Coaching

  • Adv Logical Reasoning Excel & Statistical Concepts
  • Adv SQL Hive Phython Tableau R shiny Microstrategy
  • Basic Statistical Concepts - Central Measures of data Linear & Logistics regression
  • Decision Trees – CHAID CART RF XGBoost
  • 4-7 years of experience in Leading analytics projects in any one of domains like retail cpg telecom or hospitality and for one of the following functional areas - marketing supply chain customer merchandising operations finance or digital preferred
Minimum Work Experience:
5 years
Maximum Work Experience:
7 years
Minimum CTC (in lakhs per annum):
Maximum CTC (in lakhs per annum):
Mandatory SkillSet:
Machine Learning, SQL, Python.


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