You will drive advanced analytical solutions using statistical modeling and data mining techniques.
Responsibilities
Develop advanced algorithms to solve high-dimensionality problems efficiently and statistically.
Implement statistical and data mining techniques on large datasets to uncover trends and patterns.
Collaborate with clients and stakeholders to integrate and communicate analysis findings.
Guide Associates on the team, providing project management support and scoping.
Research and contribute to thought leadership by evaluating emerging datasets and technologies.
Required Skills
7+ years of experience in Data Analysis.
Postgraduate qualification in Statistics or Computer Science from a premier institute.
Hands-on experience with advanced analytics (Regression, Logistic Regression/Decision Tree, Monte Carlo, Survival Analysis, Random Forest, Time series analysis).
Proficiency in SPSS, SAS, R, and Python.
Expertise in creating predictive models using SAS Enterprise Miner.
Knowledge of databases, data modeling, and data normalization.
Excellent critical thinking and problem-solving abilities.
Strong client interfacing and communication skills.