Data Scientist (C3.ai Certified)

Codvo

5 - 10 years

20 - 25 Lacs

pune

Posted:1 week ago| Platform:

Apply

Skills Required

product management text mining web services product innovation time management machine learning digital strategy data analytics sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Advanced knowledge of statistical techniques, NLP, machine learning algorithms and deep learning frameworks like TensorFlow, Theano, Kera s, Pytorch.
Proficiency with modern statistical modelling (regression, boosting trees, random forests, etc), machine learning (text mining, neural network, NLP, etc), optimization (linear optimization, nonlinear optimization, stochastic optimization, etc) methodologies.
Build complex predictive models using ML and DL techniques with production quality code and jointly own complex data science workflows with the Data Engineering team.
Familiar with modern data analytics architecture and data engineering technologies (SQL and No-SQL databases).
Knowledge of REST APIs and Web Services
Experience with Python, R, sh/bash

Required Skills (Non-Technical):-

Fluent in English Communication (Spoken and verbal)
Should be a team player
Should have a learning aptitude
Detail-oriented, analytically.
Extremely organized with strong time-management skills
Problem Solving Critical Thinking Require

More Jobs at Codvo

Backend Architect - Remote

Mumbai, Delhi / NCR, Bengaluru

10 - 15 yrs

INR 35 - 50 Lacs

AI Solution Architect

Kolkata, Mumbai, New Delhi, Hyderabad, Pune, Chennai, Bengaluru

4 - 9 yrs

INR 6 - 11 Lacs

Senior Backend Lead

Pune, Chennai, Bengaluru

7.0 - 12.0 yrs

INR 30 - 45 Lacs

Senior Backend Lead

Mumbai, Delhi / NCR, Bengaluru

7.0 - 11.0 yrs

INR 30 - 45 Lacs

Senior Python Developer

Mumbai, Delhi / NCR, Bengaluru

5.0 - 7.0 yrs

INR 25 - 30 Lacs

Mock Interview

Practice Video Interview with JobPe AI

Start Machine Learning Interview

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.