Lead Decision Scientist

5 days ago

Bengaluru, Karnataka, India Tesco Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Role & responsibilities

-Represent Talent Acquisition in all forums/ seminars pertaining to process, compliance and audit

-Perform other miscellaneous duties as required by management

-Driving CI culture, implementing CI projects and innovation for withing the team

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

  • Proactively driving consumption of solutions developed by the team and owning the initiative to identify and address areas of improvement in the larger Tesco business

  • Keeping up-to-date with the latest in data science and retail analytics and disseminating the knowledge among colleagues

  • Mentoring and leading a small team of Applied Data Scientists to deliver high impact analytics projects

Operational Skills:

  • Applied Math: 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 Skill: Analytical Thinking & Problem solving, Storyboarding, Stakeholder engagement, Leading team.

Experience relevant for this Job:

  • 5+ years experience in data science application in

and delivering analytics solutions in industries such as retail, consumer packaged goods (CPG), telecom, or hospitality preferred

  • Exposure to functional areas like marketing, supply chain, customer analytics, merchandising, operations, finance, or digital analytics

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