Develops complex queries and performs extensive programming to access, transform, and prepare data for statistical modeling
Leads and executes deep dive diagnostic, predictive, and prescriptive analytics
Mentors and develops junior data scientists and analysts
Identifies and diagnoses data inconsistencies and errors
Engages with internal stakeholders to understand and probe business processes
Brings structure to requests and translates requirements into an analytic approach
Guides test design, research design, and model validation
Prepares and delivers insight presentations and action recommendations
Communicates complex analytical findings and implications to business leaders
Participates in special projects and performs other duties as assigned
Designs scalable data mining models and reporting protocols

Minimum 8 years of experience in data science, predictive analytics, or advanced statistical modeling roles
Expertise in programming with Python, R, or SQL
Hands-on experience with machine learning libraries (e.g., Scikit-learn, TensorFlow)
Strong understanding of data pipelines, data wrangling, and statistical techniques
Experience in big data environments (Spark/Hadoop)
Familiarity with visualization tools like Tableau or Power BI
Bachelor’s degree (B.E./B.Tech) in Analytics, Applied Mathematics, Economics, Statistics, or Computer Science, or a Master’s degree/Diploma in a related quantitative field

Data Scientist, Specialist

Key skills