Data Scientist - KPO

Data Scientist

Job Description:

Role Expectations:

- Manage Data Science projects leading small teams of Data Scientists

- Ability to work collaboratively with cross-functional/cross-geography teams to improve outcomes of projects/BD activities/Product development/Projects execution involving Data Science.

- Effectively communicate the analytics approach and how it will meet and address the objectives of business partners.

- Ability to perform data discovery tasks and work with large data sets.

- Apply Data Mining/ Data Analysis methods using a variety of data tools, build and implement models using algorithms, and create/run simulations to drive optimization and improvement across business functions.

Qualifications:

- A Bachelor's or Master's in computer science or related disciplines (including Math/Statistics), with at least 4 years of relevant work experience (Must have)

Skill Expectations:

- Experience building production ML pipelines for model training/prediction in Python and R. (Must have)

- Experience working with open-source ML libraries such as Sklearn, Pandas, and TensorFlow (Must have)

- Create and maintain ML model training/prediction pipelines in production

- Create re-usable tools and frameworks for ML model deployment and monitoring

- Experience working with large data sets, coming from varied sources (Must have)

- Experience with both object-oriented and functional programming concepts (Must have)

- Good knowledge of MS productivity tools (Must have)

- Working knowledge of visualization tools (e.g. Tableau/Power BI etc.) (Good to have)

- Experience working with ML model training/deployment tools (such as Airflow, Kubeflow, Seldon etc.) (Good to have)

- Familiarity with data engineering tools (Spark/Kafka etc.) (Good to have)