Data Scientist / Data Science / Machine Learning

Data Scientist / Data Science / Machine Learning

Data Scientist / Data Science / Machine Learning

  • Chennai
  • Posted 2485 day(s) ago
  • Job Views : 463
  • Job Applicants : 0

Job Description

Education: BE, BTech, MTech or MS 
Experience: 3 - 8 yrs 
Location: Chennai 

JOB PURPOSE: 

As a Data Scientist, you will work on data analytics and machine learning problems across a variety of industries. Work with the Clients to identify/define business problems, clean & analyze data, devise and implement models to find solutions. You will collaborate and work with a team of scientists, analysts and engineers to put your models into solution. 

KEY ACTIVITIES:

Expert proficiency in R or Python. 
Demonstrate high level analytic, quantitative and programming skills.
Experienced in new modeling and machine learning approaches. 
Advanced knowledge of statistical techniques, machine learning algorithms, data mining and text mining.
Ability to work independently to get an idea from inception to implementation.
Strong story-telling & articulation skills.
Adequate presentation and communication skills to explain results and methodologies to both technical and non-technical stakeholders.
Exposure to Big Data platforms like Hadoop and its eco-system (Hive, Pig, Sqoop, Mahout) would be nice to have.

Thanks & Regards,

Samantha,
Page1 Management Consultants Pvt. Ltd.


Salary: Not Disclosed by Recruiter
Industry:KPO / Research / Analytics
Functional Area:Analytics & Business Intelligence
Role Category:Other
Role:Other
Employment Type: Permanent Job, Full Time

(Please mention NCRJobs.in for reference)

Interview Location

Location : Chennai

Address : Chennai

Short Description
  • Job ID:

    NCRJB13216
  • Job Views:

    463
  • Job Type:

    Full Time
  • Number of Vacancies:

    6
  • Industry:

    KPO / Research / Analytics,
  • Functional Area:

    Analytics & Business Intelligence
  • Job Experience:

    Fresher
  • Posted On:

    06, Jul 2017
  • Closing Date:

    21, Jul 2017