Manager - Data Scientist

Inviting applications for the role of Manager, Data Scientist!

Key Responsibilities:

Deploying analytics solutions and enable tracking of business outcomes.

Responsible for Model Migration.

Project Management, Mentoring Junior members in the team and Client Interaction.

Ensuring Quality through compliance to framework, architecture and coding standards.

Selecting features, building and optimizing classifiers using machine learning techniques.

Prior Experience with Model migration from legacy to Modern setups (e.g. SAS model to Python / PySpark scripts)

Experience with Hadoop, Spark

Experience with Cloud based services a plus – Google Cloud, AWS, Azure services used for Data storage and Data ingestion/ transformation like S3, ADF, Glue etc.

Predictive Analytics – Hands-on experience in AI and Machine Learning

Good applied statistics skills, such as distributions, statistical testing, regression etc.

Building and implementing models, algorithms and simulations and executing the same using a variety of Tools

Very good scripting and programming skills necessary to build and efficient and streamlined process/environment

Experience with implementing analytical models

Hands on experience in

Code Versioning Tool - GitHub

Experience in relational and NoSQL Databases

Knowledge on Agile methodology

Qualifications

Minimum qualifications

B.E. in Computer Science, Information systems, or Computer engineering, Systems Engineering or M.S. in Statistics

Relevant work experience in Data Science/advanced programming and in Data Engineering Practice and Platforms

Mathematics and Statistical Background

High level of intellectual curiosity about the use of data engineering and Analytics

Extensive Experience with Analytics products and solutions

Preferred qualifications

Passion for technology and a keen learner to stay abreast on what’s latest

Ability to encourage and inspire change in technology application

Ability to work in varied LOBs and with multiple partners

Conflict management and negotiation skills

Skill gap identification and development of our global teams

Excellent verbal and written communication skills