AmbitionBox
Search
Jobs
- Reviews
- Salaries
- Interview Questions
- About Company
- Benefits
- Jobs
- Office Photos
- Community
Add office photos
All Filters
133 Caterpillar Inc Jobs
Data Scientist I
3-8 years
₹ 10 - 30L/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 I
Caterpillar Inc
posted 14hr ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
Career Area:
Technology, Digital and Data Job Description:
Your Work Shapes the World at Caterpillar Inc.
Role Definition
Performs analytical tasks and initiatives on huge amount of data to support data-driven business decision and development.
Responsibilities
Directing the data gathering, data mining, and data processing processes in huge volume; creating appropriate data models.
Exploring, promoting, and implementing semantic data capabilities through Natural Language Processing, text analysis and machine learning techniques.
Leading to define requirements and scope of data analyses; presenting and reporting possible business insights to management using data visualization technologies.
Creating, designing and prototyping solutions in the areas of supply chain (tactical and strategic), logistics
Collaborating with Logistics Analysts, Information Technology teams, Engineers, Operational and Transportation managers to analyze opportunities, quantify scope for improvement and define core areas of focus
Conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses.
Exploring, promoting, and implementing semantic data capabilities through Natural Language Processing, text analysis and machine learning techniques.
Leading to define requirements and scope of data analyses; presenting and reporting possible business insights to management using data visualization technologies.
Creating, designing and prototyping solutions in the areas of supply chain (tactical and strategic), logistics
Collaborating with Logistics Analysts, Information Technology teams, Engineers, Operational and Transportation managers to analyze opportunities, quantify scope for improvement and define core areas of focus
Conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses.
Skill Descriptors
Business Statistics: Knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions.
Level Basic Understanding:
Identifies and describes basic statistical measures.
Summarizes the underlying uncertainties associated with statistical analysis and reporting.
Describes the relationship between statistical measurement and continuous improvement.
Cites examples and meaning of statistics used in own area.
Identifies and describes basic statistical measures.
Summarizes the underlying uncertainties associated with statistical analysis and reporting.
Describes the relationship between statistical measurement and continuous improvement.
Cites examples and meaning of statistics used in own area.
Accuracy and Attention to Detail: Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision.
Level Working Knowledge:
Accurately gauges the impact and cost of errors, omissions, and oversights.
Utilizes specific approaches and tools for checking and cross-checking outputs.
Processes limited amounts of detailed information with good accuracy.
Learns from mistakes and applies lessons learned.
Develops and uses checklists to ensure that information goes out error-free.
Accurately gauges the impact and cost of errors, omissions, and oversights.
Utilizes specific approaches and tools for checking and cross-checking outputs.
Processes limited amounts of detailed information with good accuracy.
Learns from mistakes and applies lessons learned.
Develops and uses checklists to ensure that information goes out error-free.
Analytical Thinking: Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems.
Level Basic Understanding:
Names specific tools or techniques that can be used to support the analytical thinking process.
Describes specific software applications or products used for business analytics.
Gives examples of how analytical thinking has been used to resolve problems.
Helps others research and learn more about business analytics tools and applications.
Names specific tools or techniques that can be used to support the analytical thinking process.
Describes specific software applications or products used for business analytics.
Gives examples of how analytical thinking has been used to resolve problems.
Helps others research and learn more about business analytics tools and applications.
Machine Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.
Level Basic Understanding:
Explains the definition and objectives of machine learning.
Describes the algorithms and logic of machine learning.
Distinguishes between machine learning and deep learning.
Gives several examples on the implementation of machine learning.
Explains the definition and objectives of machine learning.
Describes the algorithms and logic of machine learning.
Distinguishes between machine learning and deep learning.
Gives several examples on the implementation of machine learning.
Programming Languages: Knowledge of basic concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages.
Level Basic Understanding:
Describes the basic concepts of programming and program construction activities.
Uses programming documentation including program specifications in order to maintain standards.
Describes the capabilities of major programming languages.
Identifies locally relevant programming tools.
Describes the basic concepts of programming and program construction activities.
Uses programming documentation including program specifications in order to maintain standards.
Describes the capabilities of major programming languages.
Identifies locally relevant programming tools.
Query and Database Access Tools: Knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use.
Level Basic Understanding:
Identifies query facilities that are available in ones own environment.
Explains organizations standards, procedures and practices for building queries.
Describes the functions and features of query and database access tools.
Identifies the key benefits and drawbacks of query languages.
Identifies query facilities that are available in ones own environment.
Explains organizations standards, procedures and practices for building queries.
Describes the functions and features of query and database access tools.
Identifies the key benefits and drawbacks of query languages.
Requirements Analysis: Knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project.
Level Working Knowledge:
Follows policies, practices and standards for determining functional and informational requirements.
Confirms deliverables associated with requirements analysis.
Communicates with customers and users to elicit and gather client requirements.
Participates in the preparation of detailed documentation and requirements.
Utilizes specific organizational methods, tools and techniques for requirements analysis.
Follows policies, practices and standards for determining functional and informational requirements.
Confirms deliverables associated with requirements analysis.
Communicates with customers and users to elicit and gather client requirements.
Participates in the preparation of detailed documentation and requirements.
Utilizes specific organizational methods, tools and techniques for requirements analysis.
Additional Info:
Caterpillar is not currently hiring individuals for this position who now or in the future require sponsorship for employment visa status; however, as a global company, Caterpillar offers many job opportunities outside of Singapore which can be found through our employment website at www.caterpillar.com/careers .
What You Will Get:
Our goal at Caterpillar is for you to have a rewarding career. Our teams are critical to the success of our customers who build a better world. Here you earn more than just wage, because we value your performance, we offer a total rewards package that provides day one benefits along with the potential of a variable bonus. Additional benefits include paid annual leave, flexi leave, medical and insurance (prorated based upon hire date).
Final Details:
Please frequently check the email associated with your application, including the junk/spam folder, as this is the primary correspondence method. If you wish to know the status of your application - please use the candidate log-in on our career website as it will reflect any updates to your status.
If you are interested in joining our team, please apply using an English version of your CV. We look forward to meeting you!
About Caterpillar
Posting Dates:
February 6, 2025 - February 19, 2025 Employment Type: Full Time, Permanent
Read full job descriptionCaterpillar Inc Interview Questions & Tips
Prepare for Caterpillar Inc Data Scientist roles with real interview advice
What people at Caterpillar Inc are saying
Rating based on 7 Data Scientist
reviews
Anonymous · Marketing & Communication
in Bangalore / Bengaluru
Likes
Safety Culture Good Work life balance
- Skill development - Good
+4 more
Dislikes
Limited growth potential
Data Scientist salary at Caterpillar Inc
reported by
39
employees
with 3-8
years exp.
₹7
L/yr - ₹24
L/yr
7%
more
than the average Data Scientist Salary in India
View more details
What Caterpillar Inc employees are saying about work life
based on 1.2k employees
Flexible timing
Monday to Friday
No travel
Day Shift
Caterpillar Inc Benefits
Submitted by Company
Health Insurance Defined Benefit Pension Plan Long-term Disability Insurance Supplemental Unemployment
Submitted by Employees
View more benefits 
Compare Caterpillar Inc with
Komatsu
Compare
Volvo Construction Equipment
Compare
Tata Hitachi Construction Machinery
Compare
Liebherr
Compare
CNH Industrial
Compare
Terex
Compare
SANY Group
Compare
Doosan Infracore
Compare
JCB
Compare
XCMG India Manufacturing
Compare
Hitachi
Compare
TÜV SÜD
Compare
GE Transportation
Compare
Flowserve
Compare
KONE
Compare
GKN
Compare
Alfa Laval
Compare
Stanley Black & Decker
Compare
Schindler
Compare
Danfoss Industries
Compare
Similar Jobs for you
Caterpillar Inc Bangalore / Bengaluru Office Locations
Bangalore Office
Headquarter
RMZ NXT, Campus 1A - 4th & 5th Floor
Whitefield Road,
Sonnenhali Village,
Bangalore 560066
Karnataka, India
Bangalore
560066
560066
Bangalore Office
RMZ NXT, Campus 1A - 3rd Floor
Whitefield Road, Sonnenhali Village,
Bangalore - 560066,
Karnataka, India
Bangalore
560066
560066
Share an Interview