The Job Opportunity you are looking for has been closed for now.

Data Scientist Job Description

Are you looking for a NEW CORP W2 or EMPLOYER CHANGE ?

TRAINING SESSIONS ALSO AVAILABLE

DIRECT MARKETING OF YOUR PROFILE TO CLIENTS

W2 only
Need to have basic knowledge of Any programming language.
Freshers can also apply (Training will be provided)
Bachelor's/Master's degree in Computer Science or equivalent
For experienced candidate’s direct hire
Opportunity for all work visas - CPT/OPT/H1B/H4EAD/L2EAD/GC/USC
H1B Sponsorship

Skills required for Data Scientist

Additional Information

Job Type:	IT Job
Work Authorization:	Valid Work Visa , US Citizen, Green Card, H1B, H4, F1, F2, L2, STEM, OPT, CPT
Employment:	Corp-Corp
Functional Area:	IT Software
No. of Job Openings:	20+
Gender:	Any
Qualification:	Graduate
Industry:	IT Software / Services
Language:	English

Grab this Job Opportunity and move up in your career! Apply For Job

Location

People also searched for this phrase

FAQ

1. How much do scientists earn in New York, NY?
The average salary for a Data Scientist in New York, NY is $135, 000. The base salary provided for Data Scientist in New York, NY is $85000 and based on the experience and knowledge of the skilled professionals the highest paid salary for Data Scientist in New York, NY is $2,50,000.
2. Are data scientists in demand in New York, NY?
Yes, Data Scientist Jobs are in high demand in New York, NY. The demand for Data Scientists is growing in Top MNC’s as the world emerges in maintaining their data-driven insights.
3. What companies hire data scientists in New York, NY?
Top Companies which hire Data Scientist Professionals in New York are
- mParticle
- Reonomy
- Capital One
- myKlovr
- Spotify
4. What is the career path of a data scientist?
Masters in Computer Science Engineering or Data Science Certification from a Reputed Institution is necessary to grow your career as Data Scientist.
5. What are the key skills required for a Data Scientist?
The significant skills needed for a data scientist are
- Machine Learning
- Data Wrangling
- Programming
- Statistics
- Data Visualization and Communication