Strategic Data Solutions Leader

2 days ago

Pune, Maharashtra, India beBeeDataScientist Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Advanced Analytics Consultant Job Description

This is a senior-level position that requires expertise in AI/ML integration to lead the design and deployment of intelligent, data-driven solutions.

The successful candidate will work at the intersection of business strategy, advanced data modeling, and artificial intelligence to drive measurable outcomes for clients in the pharmaceutical, life sciences, or broader commercial domain.

  • Job Responsibilities:
  • Lead the development and implementation of AI and machine learning models to solve complex business problems such as segmentation, churn prediction, targeting optimization, and personalization.
  • Evaluate multiple AI/ML techniques (e.g., supervised/unsupervised learning, NLP, deep learning) to determine the most effective approach.
  • Create scalable, production-ready solutions that integrate with business processes.

Data Management & Exploration:

  • Work with large, diverse datasets, including structured and unstructured data from internal and third-party sources (e.g., Rx, patient-level, longitudinal, sales, CRM).
  • Perform exploratory data analysis (EDA), feature engineering, and data cleansing to prepare inputs for modeling.
  • Identify and address biases or imbalances in data that may affect model performance in real-world deployment.

Business Consulting & Strategy Integration:

  • Translate analytical outcomes into clear business recommendations and work closely with cross-functional teams to implement solutions.
  • Partner with business leaders to identify high-impact opportunities where AI can add value.
  • Develop strategic roadmaps for AI adoption and integration within client organizations.

Qualifications & Experience:

  • Bachelor's or Master's in Data Science, Computer Science, Engineering, Statistics, Mathematics, or related field.
  • 12+ years of experience in data analytics, with 3+ years in AI/ML model development and deployment.
  • Prior experience in pharma/life sciences is highly preferred but not mandatory.
  • Experience working with cross-functional stakeholders in a consulting or strategic analytics capacity.

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