Data Science Manager

Key Responsibilities

• Manage team of Data Scientists and Data Science interns
• Teach, lead, and counsel colleagues on new techniques or solutions
• Collaborate with data and software engineers to enable deployment of sciences and technologies that will scale across the company’s ecosystem
• Responsible for the conception, planning, and prioritizing of data projects
• Responsible for building analytic systems and predictive models as well as experimenting with new models and techniques
• Ensure that data projects align with organizational goals

Minimum Qualification

• Master's degree in Computer Science, Data Science, Statistics or related technical field
• 5+ years of experience solving analytical problems using quantitative approaches
• Experience communicating quantitative analysis results
• Knowledge with relational databases and SQL
• Development experience in any scripting language (PHP, Python, Perl, etc.)
• Knowledge of statistics (e.g., hypothesis testing, regressions)
• Experience manipulating data sets through statistical software (ex. R, SAS) or other methods Technical Skills
• Must have –
• Programming – Python (Preferred) / R
• ML Models – i. Regression – Linear, Logistic, Multinomial, Mixed effect
• Classification – Bagging & Boosting, Decision tree, SVM
• Clustering – K-Means, hierarchical, DB-Scan
• Time series – ARIMA, SARIMA, ARIMAX, Holt-Winters, Multi TS (VAR), UCM
• Neural Networks (Deep learning), Naive Bayes
• Excel and SQL
• Dimensionality Reduction – PCA, SVD etc.
• Optimization Techniques – Linear programming, Gradient Descent, Genetic Algorithm
• Cloud – Understanding of Azure / AWS offerings, Setting up ML pipeline of cloud
• Knowledge of Lending Business and Financial Services (Risk and Collection Analytics