Lead Data Scientist

Career Area:

Job Description:

Your Work Shapes the World at Caterpillar Inc.

When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other.  We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.

Your Impact Shapes the World at Caterpillar Inc

When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.

Job Summary

We are seeking a skilled Lead Data Scientist to join our Pricing Analytics -to join our Enterprise Strategy_Global Parts Pricing team.

 The preference for this role is to be based out of Chennai, WTC ,India

What You Will Do:

• Provide thought leadership in ML and AI solution to improve business outcomes.
• Support the data gathering, data mining, and data processing of large volumes of information.
• Explore, promote, and implement data capabilities through machine learning and AI techniques.
• Define requirements and scope of data analyses; presenting and reporting possible business insights to management and peers using data visualization technologies.
• Research machine learning and artificial intelligence algorithms to improve effectiveness, accuracy, and timeliness of data analyses.
• Coach and lead junior data scientists.

What You Will Have:

• Machine Learning: Extensive knowledge of principles, technologies and algorithms of machine learning, artificial intelligence, and Gen AI; ability to develop, implement and deliver related analysis, ML/AI models, systems, products and services.
• Programming Languages: Extensive knowledge of concepts and capabilities of applying Python programming; ability to use tools, techniques and platforms in order to write effective and efficient programs.
• Accuracy and Attention to Detail: Extensive understanding of the necessity and value of accuracy; ability to complete complex tasks with high levels of precision.
• Analytical Thinking: Extensive 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.
• Requirements Analysis: Working 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.

Considerations for Top Candidates:

• Typically, Bachelor’s in Data Science, Computer Science, Computer Engineering, Data Engineering, or related quantitative field. Master’s degree or greater preferred.
• Extensive experience utilizing Machine Learning techniques such as clustering, classification, regression, outlier identification, NLP, deep neural networks, RNNs, GANS, etc. (typically 6+ years)
• Track record of recognizing opportunities for application of machine learning and AI in making business improvements.
• Expertise in conducting data mining and cleaning initiatives.
• Advanced experience with version control / repositories such as GitHub
• Demonstrated ability to create machine learning/AI models, pipelines, and/or applications in Python, PySpark, etc. using large datasets and putting those models into production.
• Apply Python and its libraries in machine learning, such as Scikit-Learn, Keras, TensorFlow, PyTorch or similar.
• Fluent in SQL.
• Diagnose, report, and fix programming issues. Support and develop best programming and modeling practice.
• Experience implementing ML/AI solutions in a Cloud environment, preferably AWS.
• Experience with AWS tools like EMR, Sagemaker, ECS, Fargate, etc. a plus
• Understanding of effective communication concepts, tools and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through the application of appropriate communication behaviors.
• In-depth technical and problem-solving skills and evidence of continuous learning in the analytics field.

Additional Information:

• The primary location for this position is in Chennai.
• This role requires 3 days work from office

Skills desired:

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 Extensive Experience:
• Generates and interprets a wide range of statistical data and reports.
• Utilizes in-depth knowledge of several statistical tools or applications.
• Consults and coaches others on sampling approaches and associated statistical significance.
• Teaches use of standard deviation, correlation, and covariance on various types of data.
• Establishes metrics and surveys with reasonable and appropriate randomness and sample size.
• Instructs others in statistical concepts and techniques and their application to business.

Accuracy and Attention to Detail: Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision.
Level Extensive Experience:
• Evaluates and makes contributions to best practices.
• Processes large quantities of detailed information with high levels of accuracy.
• Productively balances speed and accuracy.
• Employs techniques for motivating personnel to meet or exceed accuracy goals.
• Implements a variety of cross-checking approaches and mechanisms.
• Demonstrates expertise in quality assurance tools, techniques, and standards.

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 Extensive Experience:
• Seeks discrepancies and inconsistencies in available information; explains variances.
• Organizes and prioritizes the sequence of steps to be taken to remedy the situation.
• Identifies many possible causes for a problem based on prior experience and current research.
• Quantifies the costs, benefits, risks and chances for success before recommending a course of action.
• Approaches a complex problem by breaking it down into its component parts.
• Chooses among a diverse set of analytical tools according to the nature of the situation.

Machine Learning : Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.
Level Extensive Experience:
• Monitors the operation and performance of machine learning projects.
• Defines and implements the processes and work flows for machine learning projects.
• Selects the appropriate modeling for machine learning projects, and calibrates as necessary.
• Explains the logic, algorithms and emerging techniques of machine learning for beginners.
• Performs complex tasks and initiatives of machine learning, such as image recognition.
• Develops and applies a training framework on the subject 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 Extensive Experience:
• Assesses the impact of new productivity improvement tools or techniques for creating and writing programming languages.
• Conducts walkthroughs and monitors quality of the development activities.
• Consults on key issues and challenges of programming languages associated with the IT environment.
• Oversees major developmental efforts adhering to the program's application system design.
• Supervises the evaluation of multiple programming languages for diverse environments.
• Discusses characteristics and advantages of different programming techniques.

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 Extensive Experience:
• Writes, debugs and implements complex queries involving multiple tables or databases.
• Works with aggregate functions, complex joins, groupings, dynamic and embedded SQL's (Structured Query Languages).
• Teaches others about query optimization techniques and facilities.
• Consults on query optimization, interactive queries, testing and verification.
• Evaluates all major database access tools and functions for distributed databases.
• Compares and contrasts the benefits and drawbacks of various SQL products.

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.

What you will get:

• Work Life Harmony
• Earned and medical leave.
• Flexible work arrangements
• Relocation assistance

Holistic Development

• Personal and professional development through Caterpillar ‘s employee resource groups across the globe
• Career developments opportunities with global prospects

Health and Wellness

• Medical coverage -Medical, life and personal accident coverage
• Employee mental wellness assistance program

Financial Wellness

• Employee investment plan
• Pay for performance -Annual incentive Bonus plan.

  Additional Information:

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 the U.S. which can be found through our employment website at www.caterpillar.com/careers

Caterpillar is an Equal Opportunity Employer (EEO)

EEO/AA Employer. All qualified individuals, including minorities, females, veterans and individuals with disabilities - are encouraged to apply.

Posting Dates:

Caterpillar is an Equal Opportunity Employer (EEO).

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