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Tier-1 employer, mid-level (3-5yrs) ML role in Mumbai with broad required skills increases applicant competition.
Requires specific data science/ML modeling and analytics experience, limiting cross-industry transferability.
Multiple explicit filters including experience range, internal rating, and disciplinary checks make shortlisting highly strict.
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Collaborate with international stakeholders to align data science analyses with business objectives and deliver actionable insights.
Manage and analyze large complex datasets using Python and SQL, implementing process improvements for scalability and automation.
Design and implement AI workflows and API integrations to forecast sales, identify opportunities, and solve business problems under tight deadlines.
12+ months experience as Principal Engineer - Data Science or Senior Principal Engineer - Data Science with at least an 'On-Track' or equivalent last appraisal rating.
Bachelor's degree in engineering, Analytics, or related field; or Master's degree in Statistics, Computer Applications, IT, Business Analytics, or related discipline.
3-5 years of progressive experience mining large complex datasets using advanced quantitative/modelling techniques with strong statistical knowledge.
Hybrid work in Mumbai location with mandatory onsite presence at least 3 days a week; relocation assistance not provided.
Experienced in handling large, complex datasets and proficient in Python and intermediate to complex SQL queries for data modeling and analysis.
Demonstrates strong commercial sense to balance depth of analytics with desired business outcomes and takes initiative to improve analytics techniques and processes.
Capable of managing multiple projects under tight deadlines, communicating clearly to diverse audiences, and working collaboratively in a fast-paced, hybrid environment.