Decision Scientist

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

 
Roles and Responsibilities :

•  Identifying operational improvements and finding solutions by applying CI tools and techniques
  
•  Responsible for completing tasks and transactions within agreed KPI's
  
• Knows and applies fundamental work theories/concepts/processes in own areas of work
  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 also think beyond the immediate ask and spot opportunities to address the bigger business questions (if any)
  

Job Requirements :

• 1-3 years of experience in a similar role as Decision Scientist or Data Scientist.
• Strong proficiency in programming languages such as Python and SQL.
• Experience with machine learning frameworks like scikit-learn, TensorFlow, or PyTorch.
• Knowledge of statistical techniques including Applied Statistics, Design of Experiments, Regression, Decision Trees, Forecasting, Optimization algorithms, Clustering, NLP .
• Tech: SQL, Hadoop, Spark, Python, Tableau, MS Excel, MS Powerpoint, GitHub
  
• Business: Basic understanding of Retail domain
  
• Soft Skills: Analytical Thinking & Problem solving, Storyboarding, Articulate communication