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Tier-2 brand and metro location increase competition, but seniority and specialist ML focus moderate applicant density.
Role favors retail/customer-data science experience but core ML skills remain transferable across industries.
Requires mandatory ML, Python, SQL, and applied statistical modeling skills, raising shortlisting rigidity without explicit years.
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Develop, implement, and deploy complex machine learning applications and components within the advanced data science team.
Translate complex data problems into actionable insights directly impacting customer experience and client outcomes.
Collaborate with diverse teams to challenge existing approaches and deliver innovative data-driven solutions.
Degree in Statistics, Mathematics, Physics, Economics or a similar field.
Mandatory programming skills including Python, Machine Learning, and SQL.
Experience in statistical modelling and applying data science techniques to client problems.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in connecting data science work directly to enhancing customer experience and tangible client impact.
Comfortable working in an innovative, fast-paced environment challenging conventional data science approaches.
Strong analytical and logical thinking skills combined with effective stakeholder communication abilities.