Data Scientist - Leading Manufacturing Industry

Mount Talent Consulting
  • Chennai
  • 15-30 lakh
  • 3-5 years
  • 329 Views
  • 11 Jun 2015
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  • Business Analytics

  • Automobile/ Auto Components
Job Description

JOB REQUIREMENTS:

Undergraduate degree in a field linked to business analytics, statistics or geo-statistics, economics, operations research, applied mathematics, computer science, engineering, or related
field is required; advanced degree is preferred

At least 3-5 years of relevant industry work experience providing advanced analytics solutions or around 2 years of consulting experience
Work related travel might be required

Candidates with prior experience in Auto sector, Customer and marketing analytics, warranty analytics and After sales service preferred, but is not a necessary requirement

KEY COMPETENCIES:

Solid analytical skills

Strong work ethic and service-oriented mentality

Able to develop and codify knowledge

Ability to provide analytical advice

Ability to multi-task and operate effectively in a fast-paced matrix organization Solid knowledge in a topic/sector domain; motivation to further develop topical expertise over time (e.g. Operations, Marketing, etc.)Effective written and verbal communication
Strong interpersonal skills, credibility Collaborative, team player

Good communication skills & ability to manage senior internal stakeholders Ability to maintain discretion Technical skills

WORK ENVIRONMENT

Experience with multiple analytics methods (one or more required)

Data management skills (e.g. data modeling, data integrity QA/QC) Customer segmentation and targeting, promotion effectiveness and churn Predictive modeling (logistic regression, linear regression, etc.)
Experience in core analytics methods (one or more of the following):Statistics (t-tests, ANOVA, ...), variable reduction (FA, PCA, ...)Segmentation/clustering techniques Predictive modeling: e.g. logistic regression, linear regression Time series analysis: e.g. ARIMA, VAR Machine learning: e.g. LCA, Random Forest, neural networks Time series analysis (ARIMA, VAR, etc.)

Simulation: e.g. MC, dynamic, discrete event

Optimization: e.g. linear programming, heuristic

Familiarity with analytics tools (one or more required)

SAS

Advanced Excel

Alteryx

SQL, including geospatial types and functions

R, SAS

Tableau, SSRS a plus

Fast-paced, intellectually intense, service-oriented environment

Work related travel may be required

prevention


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Mount Talent Consulting