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Popular mid-level data role, broad skillset, and metro location drive high competition.
Core data science skills are transferable across industries, though client domain knowledge adds moderate specialization.
Extensive mandatory technical skills plus managerial and client-facing expectations create high filtering.
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Own end-to-end client AI & analytics programs combining hands-on data science, technical team management, and client interaction.
Develop and implement data science strategy and roadmap for client accounts, including project management and quality oversight.
Manage client relationships and internal teams to ensure timely delivery, maximize utilization, and build trusted advisor status with IT management.
Proficiency in programming languages and tools: Python, R, SQL, NoSQL, Spark, ML tools, and cloud platforms (AWS, Azure, GCP).
Experience with Python libraries such as numpy, pandas, scikit-learn, tensorflow, and NLP tools like BERT.
Strong understanding of statistics, machine learning algorithms (SVM, Random Forest, Neural Networks, etc.), and large-scale data processing.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in delivering data science solutions across domains like Retail, Pharma, Banking, and Insurance with client engagement focus.
Capable of technical team leadership, workload allocation, and driving project management best practices in complex AI projects.
Skilled in developing business cases for technology investments and adept at managing stakeholder expectations and communications.