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Data Scientist-Mathematical Optimizations And Reliability

5.00 to 7.00 Years   Bangalore   06 Jul, 2021
Mercede
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaDBA / Datawarehousing
EmploymentTypeFull-time

Job Description

As a Data scientist Reliability and Mathematical Optimization you will :

  • Build mathematical programming models: Linear Programming, Mixed Integer Programming, Network Optimization.
  • Develop Optimization algorithm design and implementation.
  • Generate Synthetic data for massive simulation situations.
  • Adapt reliability and statistical tools to complex situations involving minimal information and data.
  • Develop and implement simulation models, predictive reliability tools and statistical models for failure forecasting.
  • Work closely with Global teams to participate in design reviews and engineering team meetings.
Skills/Qualifications
  • Master in Statistics/Economics or MBA or M. Sc./M. Tech with Operations Research/Industrial Engineering/Supply Chain
  • Minimum 5+ years of analytics experience in automobile, manufacturing or related domain.
  • Expertise in stochastic and deterministic optimization techniques and simulation
  • Experience in Reliability/Survival analysis, such as: non-parametric (Kaplan-Meier) estimation, parametric distribution analysis, proportional hazard modeling, accelerated life test and degradation data analysis, survival regression
  • Experience with probabilistic modeling (e.g. Monte Carlo simulation).
  • Hands-on experience in delivery of projects using statistical modelling.
  • Experience in reliability engineering and applied statistics (DOE, regression, life data analysis etc)
  • Hands on experience with Machine learning, data analysis, applied statistics, deep learning knowledge and experience.
  • Excellent programming skills and proficiency in Python and Pyspark (Must)
  • Experience in simulations and predictive analytics with Matlab.
  • Distributed computing experience with Hadoop development in HIVE, Spark/Databricks etc.
  • Ability to translate business requirements to problem definitions, models, and constraints
  • Fluent with full development cycle, continuous integration and continuous deployment, version control tools.
  • Applicants with Automobile / EV domain will be preferred.
, *BE / ME/ M.Tech / M.S

Keyskills :
machine learningpythondata analysissqlanalyticsdelivery of projectscontinuous improvement facilitationcaptive unitglobal teamsglobal rdmonte carlo

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