Python with Data Science

Skills

FAST Search - API Python Docker ML Ops Domain Skills- PBM Payer Provider Python Data Science Machine Learning Kubernetes API Docker Mongo DB PyTorch 6.Technology -Not Applicable

Description

Data Scientist
• Post-grad in one of the following fields with strong
academic credentials: • Computer Science/IT
• Operations Research/Applied Math • Engineering
• Statistics. Identify and build analytics models and solutions for our clients IN ORDER TO understand how analytics can help clients in improving the various business outcomes. Is a critical team-member from development point of view for delivering values in forms of complex algorithms for critical business problems.
•Works with the business team
to identify the right business problem, gather the requirements and data required to answer the same.
•Data exploration , hypothesis testing and statistical modeling are
part of daily activities. •Involved in development , testing,
evaluation and optimization of models developed. •Analyzes data and
generates insights that can be articulated to business stakeholders
•Develops hypothesis for testing in consultation with
Principal/Domain SME and Business teams Stakeholder Management: •
POC for all the daily based activities and ensures the availability of
all the required information with all the team at all the times.
•Build the collaterals which are durable and reusable.
•Communicate analytical results in a way that is meaningful for
business stakeholders and provides actionable insights

Responsibilities

• Strong Python background
• with Data Science and ML Ops Experience with Flask, Fast API,
• Docker/Kubernetes. Restful API - OpenAPI and Swagger. Familiarity
• with Kubernetes is preferred. MongoDB Some background with MEAN/MERN
• microservices. Angular, Node.