Datascience and Analytics Lead

Short Description

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

Job Description

Profile Summary
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

15+ 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 in to a 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.

Datascience and Analytics Lead
Director Information Technology Full-time Information Technology | Engineering Python | Big Data
With more than 190,000 people, Capgemini is present in over 40 countries and celebrates its 50th Anniversary year in 2017. A global leader in consulting, technology and outsourcing services, the Group reported 2016 global revenues of EUR 12.5 billion. 

Together with its clients, Capgemini creates and delivers business, technology and digital solutions that fit their needs, enabling them to achieve innovation and competitiveness. A deeply multicultural organization, Capgemini has developed its own way of working, the Collaborative Business ExperienceTM, and draws on Rightshore¬ģ, its worldwide delivery model.