Search Jobs

Data Scientist - Machine Learning/ Predictive Modeling

5 - 8 yrs
Apply without registration
Not Disclosed by Recruiter Posted 6 days ago Job Applicants: 70 Job Views: 220

Job Description

 
Send me Jobs like this
    Data Scientist - Machine Learning/Predictive Modeling (5-8 yrs)

    - Research and develop statistical learning models for data analysis

    - Collaborate with product management and engineering departments to understand company needs and devise possible solutions

    - Keep up-to-date with latest technology trends

    - Communicate results and ideas to key decision makers

    - Implement new statistical or other mathematical methodologies as needed for specific models or analysis

    - Involved in Data Mining, Clustring, Cleansing, machine learning.

    - Optimize joint development efforts through appropriate database use and project design.

    Essential Requirements :

    - Bachelor's Degree in Computer Science, Statistics, Applied Math or related field.

    - 3+ years practical experience with Analytics,ML

    - Extensive background in data mining and statistical analysis

    - Able to understand various data structures and common methods in data transformation

    - Excellent pattern recognition and predictive modeling skills

    - Experience with analytical/programming languages such as SSAS

    - Good to have experience in PowerBI, R, Azure, Cortana Analytics suite, Azure ML

Salary: Not Disclosed by Recruiter

Industry: IT-Software / Software Services

Functional Area: IT Software - DBA , Datawarehousing

Role Category:Admin/Maintenance/Security/Datawarehousing

Role:DBA

Employment Type: Permanent Job, Full Time

Keyskills

Desired Candidate Profile

     

Education-

UG: Any Graduate - Any Specialization, B.Tech/B.E. - Any Specialization, Computers, B.Sc - Any Specialization, Computers, Maths, Statistics

PG:Any Postgraduate - Any Specialization

Doctorate:Doctorate Not Required

Company Profile:

Engage IT Manpower

A Leading Client of Engage IT Manpower
View Contact Details
Apply without registration

IEIL has taken all reasonable steps to ensure that information on this site is authentic. Applicants are advised to research bonafides of advertisers independently. IEIL shall not have any responsibility in this regard. We also recommend that you visit Security Guidelines and Terms and Conditions for more comprehensive information on this aspect.

Get Better Jobs & Higher Salaries. Suggested courses

I agree to the Terms and Conditions