Data Scientist

MKS Inc.

Bengaluru

On-site

INR 1,400,000 - 2,200,000

Full time

3 days ago
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Job summary

MKS Inc. in Bangalore is seeking a Data Scientist to join our Engineering team. You will contribute to the design, development, testing, sustaining engineering, and documentation of advanced MKS products. You will report to the Bangalore Engineering Manager.

You will apply machine learning and statistical modeling techniques using languages such as C++, C#, Java, R, SAS or MATLAB, and you will work with big data frameworks like Hadoop or CloudML to build scalable analytics solutions.

Qualifications

  • Bachelor of Science, Master of Science or PhD in a related scientific discipline, or equivalent experience.
  • 2 years of related data science experience.
  • Ability to work at a computer workstations for extended periods.
  • Experience with ML, statistical modeling and code implementation.

Responsibilities

  • Develops descriptive, diagnostic, predictive and prescriptive insights and algorithms.
  • Uses ML and statistical methods to improve product and data management.
  • Translates algorithms into production code using languages such as C++, C#, Java, R, SAS or MATLAB.
  • Performs testing, debugging and documentation for sustaining engineering.

Skills

Descriptive stats
Predictive modeling
R
SAS
MATLAB
C++
C#
Java

Education

Bachelor/Master/PhD in related field

Tools

Hadoop
Cosmos
CloudML

Job description

A Day in Your Life at MKS: We are seeking a talented a Data Scientist to join our Engineering team in Bangalore. In this role, you will contribute to the design, development, testing, sustaining engineering, and documentation of advanced MKS products. In this role, you will report to the Bangalore Engineering Manager.

You Will Make an Impact By:

  • Develops and communicates descriptive, diagnostic, predictive and prescriptive insights/algorithms
  • In product/systems improvement projects: uses machine language and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy
  • In both theoretical development environments and specific product design, implementation and improvement environments, uses current programming language and technologies to translate algorithms and technical specifications into code
  • Completes programming and implements efficiencies, performs testing and debugging
  • Employees in this role are expected to apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling using both general purpose software languages (eg, C++, C#, Java) and statistical languages (eg, R, SAS or MATLAB)
  • Can work with large scale computing frameworks, data analysis systems and modeling environments (eg, Hadoop, Cosmos, or CloudML) Skills You Bring:
  • Requires a Bachelor of Science, Master of Science, or PhD degree or equivalent experience in a related scientific discipline and 2 years of related experience
  • Physical Demands and Working Conditions:
  • Ability to sit and work at a computer workstation for extended periods.
  • Ability to use laboratory equipment and occasionally lift and move electronic equipment or test fixtures up to 25 pounds.
  • Work is performed in office and engineering laboratory environments.
  • Regular use of electronic test equipment and prototype hardware for product development, validation, and troubleshooting activities.
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