- Strong Python background with Data Science and Client 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.
- Post-grad in one of the following fields with strong academic credentials
- Computer Science/IT
- Operations Research/Applied Math
- 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 optimisation 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 availabilty 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.
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Data Science with Strong Python and ML OPS - Oakland, United States - Diverse Lynx
Description
Job title Data Science with Strong Python and Client OPSLocation: Oakland, CA(Day 1 Onsite)
Contract
Required Skills: FAST Search - API, Python, Docker, Client Ops MongoDB Some background with MEAN/MERN microservices. Angular, Node.
Roles & Responsibilities