Your browser does not support javascript! Please enable it, otherwise web will not work for you.

Data Scientist - Machine Learning/Python @ Carbynetech

Home > Data Science & Machine Learning

 Data Scientist - Machine Learning/Python

Job Description

- You have at least 2 year experience, ideally within a Statistician role.
- You possess strong knowledge of R, Python and SQL and experience in building and scaling models for time series.
- Strong expertise in Math/ Statistics, Machine Learning and Predictive Modelling (Regression, Neural Networks etc) would be highly valuable.
- You have strong interpersonal and communication skills and are adept at working with multiple stakeholders to drive desired outcomes
- You possess strong analytical skills and are comfortable dealing with numerical data
- You pay strong attention to detail and deliver work that is of a high standard
- You are a creative problem solver and can multitask in fast-paced environments

Job Classification

Industry: IT Services & Consulting
Functional Area: IT Services & Consulting
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time

Contact Details:

Company: Carbynetech
Location(s): Hyderabad

+ View Contactajax loader


 Fraud Alert to job seekers!

₹ Not Disclosed

Similar positions

Application Developer - Bengaluru/Bangalore

  • Accenture
  • 5 - 7 years
  • Bengaluru
  • 23 days ago
₹ Not Disclosed

Python Data Science Engineer-Remote

  • US client
  • 2 - 7 years
  • Bengaluru
  • 23 days ago
₹ Not Disclosed

Assistant Vice President - Data Science

  • mPokket
  • 10 - 20 years
  • Bengaluru
  • 24 days ago
₹ Not Disclosed

AI Architect / Data science lead - Pune

  • eClerx
  • 10 - 20 years
  • Pune
  • 26 days ago
₹ 24-28 Lacs P.A.

Carbynetech

Carbynetech is a fast growing Digital Transformation and services company experienced in Big Data and Real - time Analytics. Our expertise is in industrial IOT, Machine Learning, Digital Supply Chain, SAP, Financial Dashboards, Enterprise Costing, profitability and Mobile Apps.