Data Scientist Job (Remote)

Actively hiring

Work from home

Start date
Starts Immediately
CTC (ANNUAL)
$ 5,400 - 6,200 $ 5,400 - 6,200 /year
Experience
0-5 years
0-5 years experience
Apply By
15 Nov' 24
Posted just now
International
Job

About the job

Are you a talented Data Scientist with expertise in Python, deep learning, artificial intelligence, machine learning, data analytics, SQL, and Natural Language Processing (NLP)? Look no further! Clovine is seeking a dynamic individual to join our innovative team.

Key responsibilities:

1. Utilizing Python, deep learning, and Artificial Intelligence to develop cutting-edge algorithms and models.
2. Applying machine learning techniques to analyze complex data sets and extract valuable insights.
3. Conducting data analytics to identify trends and patterns that drive business decisions.
4. Creating and optimizing SQL queries to extract and manipulate data for analysis.
5. Implementing Natural Language Processing (NLP) techniques to enhance text analysis and sentiment analysis.
6. Collaborating with cross-functional teams to drive data-driven solutions and strategies.
7. Staying current on industry trends and best practices to continuously improve data science capabilities.

If you are passionate about leveraging data to drive innovation and impact, we want to hear from you! Join Clovine and be a part of revolutionizing the future of data science. Apply now!

Skill(s) required

Data Analytics Data Science Deep Learning Machine Learning Natural Language Processing (NLP) Python SQL

Who can apply

1. Candidate must be available to work from 8:30 pm - 3:30 am Indian Standard Time (as the company is based outside of India & their local work timings are 10:00 am - 5:00 pm Eastern Standard Time)

Salary

Annual CTC: $ 5,400 - 6,200 /year

Perks

5 days a week Health Insurance Life Insurance

Number of openings

3

About Clovine (Toronto, Canada)

Clovine software is a cloud-based software platform that provides a comprehensive suite of enterprise-class software solutions for managing and monitoring IT environments. It helps IT teams automate, orchestrate, and optimize operations across physical, virtual, and cloud-based infrastructures.
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