PLM Data Science Analyst

Job Description & Skill Requirement:

‘•Analyze large datasets to identify trends, patterns, and anomalies.
•Proven Experience as Data Analyst.
•Knowledge of statistical programming languages like R, Python, and database query languages like SQL is desirable. Familiarity with Java, or C++ is an added advantage.
•Utilize statistical methods and data visualization techniques to present insights effectively.
•Good knowledge of machine learning methods.
•Strong Math Skills (Multivariable Calculus and Linear Algebra) – understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques. 
•Design and maintain database to ensure data integrity and availability, optimize database performance and troubleshoot issues. 
•Experience with Data Visualization Tools that help to visually encode data.
•Excellent communication skills to describe findings to a technical and non-technical audience.
•Strong Software Engineering Background. Hands-on experience with data analysis tools.
• General understanding or familiarity using a product lifecycle management (PLM) software platform such as ENOVIA  Windchill or Teamcenter.

Qualification :

• BE/B TechDegree in Data Science Engineering or Computer Science, Engineering or relevant field is preferred