Data Science Analyst

Biotenico Research & Development

1. Good to have Working Exposure in Common Cloud Environments and Understanding of Robust On Premise Data Science

infrastructure.

2. Nice to have Understanding of Big Data Related Technologies and Devops(dockers, Singularity)

3. Good Communication and Presentation Skill

4. Build Data Pipelines for Ai/ml Solutions Using Python

key Accountabilities Key Duties.

1. Build Data Pipelines Deployed At the Edge (customer Locations)

2. Programming Skills:- Spss Modeler (with Working Experience in Most of Common Libraries like Scikit , Numpy, Pandas, .

3. Good Knowledge in Statistics and Deep Understanding On Ml Algorithms and Their Usage

4. Working Experience in End to End Data Science Project Life Cycles from Use Case Framing, Data Collection, Data Exploration, Model Building, Deployment

5. Working Experience in Most of the Common Machine Learning Techniques Related to Time Series, Regression, Classification, Clustering, Nlp, Working with Iot Data

6. Proven Ability Be Creative and Analytical in Trouble Shooting Issues

7. Ability to Work in a Fast-paced and High-pressure Environment to Manage Competing Priorities.

Experience : 1 - 3 Years

No. of Openings : 3

Education : Any Bachelor Degree

Role : Data Science Analyst

Industry Type : Hospitals / Medical / Healthcare Equipments

Gender : [ Male / Female ]

Job Country : India