Capgemini - Data Science Delivery Lead

Data Science Delivery Lead

Job Description :

Works to design and develop analytical/ data mining/ machine learning models as part of data science solutions

Provide guidance to various data science teams working on different problem statements in different sectors

Solution on DS&A architectures

Hold forth on best practices on modeling life cycle and model lifecycle management

Prescribe best modeling practices

Gather, evaluate and document business requirements, translate to data science solution definition, and ability to implement solution on a Big Data platform

Ability to design and build an end-to-end prototype data science solution to a business problem in any specific sector/ function

Ability to support and guide end-to-end model lifecycle management

Create model documentation as per client/ regulatory standards

Competencies Required :

10+ years of total relevant experience. 6+ years of hand on experience in analytics/ data mining.1+ years of hands-on big data analytics experience

Hands-on experience of machine learning and data mining algorithms such as decision trees, classifiers, Text correlation, clustering, and regression

Knowledge of Hadoop and other distributed computing platforms. Broad knowledge of existing data mining, NLP algorithms, and technologies

Experience with working on large data sets and developing scalable algorithms

Exposure to scripting languages Python/ Java. Scripting in Pig/ Hive/ Mahout/- a plus

Experience with statistical software SAS/ SPSS/ R/ Matlab/ Weka

Excellent presentation and communication skills

Strong analytical and problem-solving skills

Desired :

Degree in a quantitative field (Math, Statistics, Economics, Physics, and/ or Engineering, MBA).

Knowledge of where analytics fits into an end-to-end business solution

Ability to work with business and technology teams to build and deploy an analytical solution as per client needs

Ability to multi-task, solve problems and think strategically

Strong communication and collaboration skills.