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Mid-level popular Data Scientist role with broad ML/analytics needs in a metro increases competition.
Core ML and analytics skills transfer across industries, though CX/contact-center SaaS experience is preferred.
Explicit 6-8 years requirement plus mandatory ML, Python, SQL, cloud, and BI skills yields strict filtering.
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Lead development of analytics and models (Customer Pain Index, Predictive Escalation Model) to reduce customer contact volume and effort.
Analyze customer contact drivers, repeat issues, and escalations to deliver actionable insights linking call drivers to products or journeys.
Collaborate with CX, Product, and Engineering partners to translate insights into improvements, presenting findings to senior stakeholders and guiding other data scientists.
6-8+ years of experience in Data Science, Advanced Analytics, or Applied Machine Learning.
Advanced proficiency in Python and SQL, with experience in data science libraries (e.g., pandas, scikit-learn).
Experience with classification, clustering, forecasting, and prioritization modeling techniques.
Work Shift: 3pm - 12am IST.
Strong experience in operational or customer-facing analytics with ability to handle large, real-world datasets and deliver business-impacting models.
Proven track record of translating complex analytical results into clear business decisions and collaborating with Product, Engineering, and CX stakeholders.
Comfortable working as a senior individual contributor owning technical leadership and outcome delivery rather than formal people management.