Data Scientists / Consultants (PM using SAS)

Shamshier | 2019-03-01 | Bangalore | Sankhyana Consultancy Services


Key Specifications

  • Salary :- As per Industry Standards
  • Role Category :- Other
  • Area :- Analytics & Business Intelligence
  • Industry :- IT-Software / Software Services
  • Key Skills :- SAS, Predictive Modeling, Retail, Unix, Clustering, Regression, Optimization, Forecasting
  • Experience :- 2-5 Years

Job Description

  • Software Knowledge: SAS 9.4 on the UNIX platform
  • Should have hands-on experience with building models using regression algorithms like PROC REG, PROC LOGISTIC, etc. and
  • Skilled in manipulating and visualizing data to extract useful business insights
  • A clear and fundamental understanding of the statistics involved with CLUSTER ALGORITHMS, hands-on experience working with the same and output interpretation
  • Expert in program optimization concepts
  • Experienced in performing time series analysis using PROC FORECAST, PROC ARIMA, etc. within the SAS Coding platform
  • Must be familiar with UNIX
  • Should have in-depth knowledge in Statistics and must be capable of identifying the appropriate tests, procedures, etc. and implement them as required
  • Should be a self-starter who is willing to work as part of a team

Desired Candidate Profile

Hi, We are looking for 2+ Years of candidates expertise in Predictive modeling using SAS. 
Candidate must willing to join 15 Days or 1 month of NP.


UG: Any Graduate - Any Specialization

PG: Any Postgraduate - Any Specialization

Doctorate: Doctorate Not Required

Company Profile

Sankhyana Consultancy Services is Bangalore based and one of the leading organization to provide training, staffing, consulting, analytics Service support to Students, Professionals, and Corporates on SAS® and Data management activities.
Highly experienced and technically well-equipped staff, appropriate educational resources are the key factors in our success. It is a foremost technology company with services and products backed by strong domain expertise to provide cost-effective comprehensive multiple solutions for businesses.