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692 Siemens Jobs
Data Scientist
5-10 years
₹ 7.7 - 24L/yr (AmbitionBox estimate)
This is an estimate of the average salary range for this
position. It has not been reviewed by the company, and
the actual salary may differ.
Bangalore / Bengaluru
1 vacancy
Data Scientist
Siemens
posted 11d ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
Understand customer challenges and suggest them actionable insights with clear business benefit of the proposed solution
Work with large, complex data sets and applying advanced analytical methods as needed
Develop deployable machine learning solutions that address the real root cause
Interact with multiple stakeholders (from different levels) and effectively present findings by exploiting visual displays of complex quantity information in a simplified way
Be the partner of choice regarding technology advisory for advanced analytics
Actively and proactively perform market/trend scouting to stay up to date on the state-of-the-a rt technologies.
You d describe yourself as:
Knowledge in advanced data analytics/data science
Have five years of relevant experience with data science/optimi zation/statist ical models
Bachelor s degree in a quantitative discipline (e.g., Statistics, Operations Research, B ioinformatics, Economics, Computational Biology, Compute Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or related field
Understand the mathematics/op timization behind machine learning algorithms
Skilled in applying algorithmic models and are well acquainted with the properties and limits of a diverse set of established as well as state-of-the-a rt models, as well as validating the model results against the stated business objectives
Know-how on Extract, Transform and Load (ETL) of Big Data in enterprise environments (e.g., SAP, Oracle), cloud infrastructure (e.g., AWS, Azure), as well as familiarity of data architecture requirements and conceptual approaches for deploying algorithmic solutions in Big Data productive environments
Comfortable working in programming languages like SQL, Python and R, as well as with frameworks like Tensorflow and Keras; experience developing solutions in distributed teams using Version Control tools like GIT
Experience with cloud technologies: AWS Sagemaker, Lambda etc.
Stay abreast of new technologies in artificial intelligence and digitalization and seek creative ways of applying emerging and state-of-the-a rt algorithmic approaches in real world business applications
Outstanding analytical and conceptual skills and an entrepreneuria l mindset
Experience on collecting business requirements and traduce it into solution designs
Very good communication and presentation skills
Work with large, complex data sets and applying advanced analytical methods as needed
Develop deployable machine learning solutions that address the real root cause
Interact with multiple stakeholders (from different levels) and effectively present findings by exploiting visual displays of complex quantity information in a simplified way
Be the partner of choice regarding technology advisory for advanced analytics
Actively and proactively perform market/trend scouting to stay up to date on the state-of-the-a rt technologies.
You d describe yourself as:
Knowledge in advanced data analytics/data science
Have five years of relevant experience with data science/optimi zation/statist ical models
Bachelor s degree in a quantitative discipline (e.g., Statistics, Operations Research, B ioinformatics, Economics, Computational Biology, Compute Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or related field
Understand the mathematics/op timization behind machine learning algorithms
Skilled in applying algorithmic models and are well acquainted with the properties and limits of a diverse set of established as well as state-of-the-a rt models, as well as validating the model results against the stated business objectives
Know-how on Extract, Transform and Load (ETL) of Big Data in enterprise environments (e.g., SAP, Oracle), cloud infrastructure (e.g., AWS, Azure), as well as familiarity of data architecture requirements and conceptual approaches for deploying algorithmic solutions in Big Data productive environments
Comfortable working in programming languages like SQL, Python and R, as well as with frameworks like Tensorflow and Keras; experience developing solutions in distributed teams using Version Control tools like GIT
Experience with cloud technologies: AWS Sagemaker, Lambda etc.
Stay abreast of new technologies in artificial intelligence and digitalization and seek creative ways of applying emerging and state-of-the-a rt algorithmic approaches in real world business applications
Outstanding analytical and conceptual skills and an entrepreneuria l mindset
Experience on collecting business requirements and traduce it into solution designs
Very good communication and presentation skills
Employment Type: Full Time, Permanent
Read full job descriptionPrepare for Data Scientist roles with real interview advice
People are getting interviews at Siemens through
People are getting interviews through
(based on 245 Siemens interviews)
Job Portal
Campus Placement
Referral
Company Website
Recruitment Consultant
Walkin
25%
18%
16%
16%
5%
4%
16% candidates got the interview through other sources.
High
Confidence
?
High Confidence means the data is based on a large number of responses received from the candidates.
What people at Siemens are saying
Rating based on 3 Data Scientist
reviews
Anonymous · Data Science & Machine Learning
in Bangalore / Bengaluru
Likes
It's a good opportunity for me and my life turning point. I have learned and gained lots of experience. And all staff and colleagues are very supportive and helpful.
Dislikes
NA
Read 3 reviewsData Scientist salary at Siemens
reported by
85
employees
with 1-10
years exp.
₹7
L/yr - ₹30
L/yr
17%
more
than the average Data Scientist Salary in India
View more details
What Siemens employees are saying about work life
based on 4.5k employees
Flexible timing
Monday to Friday
No travel
Day Shift
Siemens Benefits
Submitted by Company
Diversity and Inclusion Hybrid Work Model Work Flexibility Gender Equity
Submitted by Employees
View more benefits 
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