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Data Scientist

5.00 to 6.00 Years   Bangalore   30 Dec, 2021
Bosch Group
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryManufacturing
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

Experience Level : 5-6 years

  • Overall 5+ years of IT experience with minimum of 4+ years experience with data mining and statistical analysis techniques(in R, Python), data processing, database programming and data analytics
  • Experienced in End-to-End Machine Learning workflow which includes activities like Data Collection, Feature Engineering and Data transformation, Model training and deploying models in production
  • Experience in designing and developing ML algorithms ( Kernel Method, Ensemble Method, Semi- Supervised, Reinforcement Learning)
  • Experience in Deep Learning techniques using frameworks like Tensorflow, Keras, etc.
  • Transferring requirements to optimization and learning problems
  • Mathematical derivation and optimization of algorithms
  • Experienced in Data Visualization Tools (e.g., Qlik, Tableau, SAP BusinessObjects and Power BI) would be added advantage
  • Able to understand various data structures and common methods in data transformation
  • Excellent pattern recognition and predictive modeling skills
Job Summary: 4+ years Experienced with AI use cases deployment
    • Tasks: support below AI use cases
      • ML-enabled EOL tests in manufacturing ( Noise Inspection Unit etc)
      • Demand Forecasting set up cloud infrastructure in AWS Sagemaker and build connections to required data sources (ERP, addone, Supply Chain Analytics, )
      • Embedded and Product-based AI: apply toolchain and methodology as developed of further use cases (e.g. preventive maintenance for hammers as ongoing activity)
      • Listening to the voices of our consumers (VOC) with NLP (e.g. user reviews, service tickets, NPS surveys, .)
      • Product recommendation engines for C4C sales CRM and B2B Portal
Mandatory/Preferred Language Skills: Mandatory:
  • Machine Learning - Statistical computer languages (R, Python, SQL, etc.) , familiarity with Scala and Java is an asset
  • ML Libraries and Frameworks Tensorflow,PyTorch, Keras, Scikit Learn, MLLib
  • Experience with Excel, Tableau, SQL, and programming languages
  • Experience in Cloud ML Platforms Azure ML, AWS Kinesis
  • Data frameworks - Hadoop
,

Keyskills :
machine learningpythondata analysissqlanalyticscontinuous improvement facilitationuse casesdata miningsupply chaindeep learningdata processing

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