Capgemini - Principal Data Scientist

JD

Principle data scientist will be the person who will lead the team of senior data scientists for implementation of desired use cases

Experience required - 14+ Years

Roles and Responsibilities -

- Be a highly analytical leader with a strong customer focus and ability to solve complex business use cases with customer & business leaders

- Establish scalable & Efficient processes for large scale data analyses, model development, model validation and model implementation.

- Drive the Data Science and Analytics Roadmap with thought leadership with customer and business leaders

- Apply advanced algorithms to complex problems in real time systems and deliver concise, insightful analysis that can quickly be put to operational use

- Must be good in feature engineering, anomaly handling, model development, model tune-ups

- Manage a team of 7-10 data scientists

- Work closely with data engineering team and Hadoop architects to turn data analysis into actionable algorithms and insights

- Excellent Knowledge of Data Science & Analytics tools landscape

- Banking and financial domain expert

- Execute large scale models using Logistic Regression, Linear Models Family (Poisson models, Survival models, Hierarchical models, Na- ve-Bayesian estimators), clustering, Conjoint Analysis, Spatial models, Time-series models etc.

- Proven work examples of turning significant amounts of data into informative/insightful actions through various statistical techniques that turn into excellent business results

- Hands-on experience coding in Python, R, Sas or other advanced programming languages is required for this role, as is experience working with large datasets using SQL. Big data modeling work with Hadoop, Hive, Impala, Pig, Scala, Spark is desired.