HadoopPythonScikit-LearnSparkSQLTableauTensorflowRMachine LearningTensorFlowscikit-learnAnalyticsBIPower BIData MiningDecision Making
About this role
Role Overview
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 to support data-driven business decision making
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
Guides test design, research design, and model validation
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 to identify trends and patterns in massive datasets
Requirements
Minimum 8 years of experience in data science, predictive analytics, or advanced statistical modeling roles
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
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
Tech Stack
Hadoop
Python
Scikit-Learn
Spark
SQL
Tableau
Tensorflow
Benefits
Competitive remuneration package
Support for flexible working and career development
FlexEY benefits covering holidays, health and well-being, insurance, savings, and discounts