Lead / Manager, Data Scientist
Blend360 (company site, opens in a new tab)9+ yrsHyderabadHybridDirect career pageEst. 30–50 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Lead and mentor a team of data scientists to deliver advanced data science solutions including pricing optimization, customer segmentation, Bayesian modelling, and marketing mix modelling.
- Own end-to-end delivery of data science projects from problem definition to deployment and business adoption, ensuring analytical solutions translate into measurable business impact.
- Engage with clients and senior stakeholders to communicate findings, provide technical direction, establish best practices, and identify new business opportunities leveraging advanced analytics.
Minimum Requirements
- 9+ years of hands-on experience in Data Science, Advanced Analytics, or related quantitative field with leadership or mentoring experience.
- Strong programming skills in Python (pandas, NumPy, scikit-learn) and SQL including complex queries and working with large datasets.
- Experience with Bayesian modelling frameworks (PyMC or Stan), machine learning techniques (e.g. K-Means, Random Forest, SVM), pricing optimization, and marketing analytics including MMM and causal inference.
- Hands-on experience deploying models using AWS SageMaker; Master's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, Engineering or related quantitative discipline preferred.
Ideal Candidate Profile
- Experienced data science leader with deep expertise in advanced statistical modelling, causal inference, optimization, and marketing analytics.
- Strong client engagement skills to translate complex analytical insights into actionable business recommendations and to manage delivery across multiple projects.
- Background suited to environments requiring integration of hands-on technical skills with strategic leadership for measurable business outcomes in domains like financial services, retail, or marketing analytics.