Data Scientist

Job Summary

We are seeking a skilled Data Scientist to join Digital Finance-Disruptive Tec -Global Finance Services Division.

The incumbent would be Performing analytical tasks and initiatives on huge amount of data to support data-driven business decision and development.

The preference for this role is to be based out of Whitefield Office, Bangalore, India

What you will do

• Caterpillar uses quantitative methods such as business simulations, data mining, and advanced statistical techniques to solve problems. The Data Scientist contributes to this mission by leveraging his or her quantitative analysis, data management, modeling and/or data visualization skills as an individual contributor to project teams tasked with solving business problems.

• Caterpillar uses quantitative techniques to solve problems.
• Typical problems include maximizing Operating Profit After Capital Charge through improvements in Inventory Costs, Material Costs, New Product Introduction costs, etc.; determining the principal drivers of health care costs; recommending the optimal supplier for a part; identifying sales, rental, and service opportunities for Caterpillar dealers; and developing simulation/optimization capabilities to model a new facility or product feature. In addition, analytics experts also provide assistance to high-profile enterprise-wide projects such as the Engineered Value Chain.

• The principal responsibility of the Data Scientist is to be an independent contributor to multi-person analytic teams.
• This position has a depth of knowledge in quantitative analytic methods, data management, and or associated digital technologies suitable to handle all but the most complex issues. This position is expected to be familiar with the company s processes, products, and organization, as well as its customers, competitors, and stakeholders.
• Work is typically directed by a direct supervisor, project or team lead through a review of results.
• Decisions on routine, medium risk issues that may affect the project team, suppliers or internal customers may be made by this position. Challenges include meeting expectations in delivering results, learning to refine solutions to better fit complex situations, making timely decisions, and communicating effectively with all project stakeholders.

• This position demonstrates thorough knowledge of statistical approaches, data management techniques, and/or related digital technologies, and the ability to handle complex issues.
• The incumbent demonstrates very good communication and presentation skills, being able to explain conclusions to customers who have limited knowledge and experience with quantitative analytical methods.
• As an individual contributor on teams, they should also exhibit strong initiative and teamwork skills, and a comprehensive knowledge of Caterpillar Inc., its products and services; its internal systems, processes, and procedures; and the external environment in which it competes.

• The responsibilities of the data scientist would involve design, develop, and deploying of predictive models and machine learning algorithms to support business decision-making. Lead data gathering, preprocessing, and transformation efforts from structured and unstructured sources.
• Collaborate with cross-functional teams to define analytical requirements and deliver insights through dashboards and reports. Develop and maintain scalable data pipelines using tools such as SQL, Snowflake, and Python. Apply Natural Language Processing (NLP), time-series analysis, and anomaly detection techniques to real-world datasets. Contribute to the development of internal Python packages and reusable analytics components

What you will have

• Bachelor s degree, preferably in engineering, finance, statistics, economics, mathematics, or a similar field with quantitative coursework, and 4-5 years of professional experience utilizing quantitative analysis OR Master s degree and 2-3 years of experience OR PhD in one of the associated fields.

Top Candidate Will Also Have:

• 2-4 years experience in manipulating data sets and building statistical models
• Ability to work on increasingly more complex assignments
• Strong problem-solving skills with an emphasis on product development.
• 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.
• Knowledge of principles, technologies and algorithms of machine learning (Supervised/unsupervised, clustering, decision tree learning, artificial neural networks, etc.); ability to develop, implement and deliver related systems, products and services.
• Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets
• Experience working with and creating data architectures
• Excellent written and verbal communication skills for coordinating across teams
• A drive to learn and master new technologies and techniques
• Experience using web services: AWS services, Snowflake, Spark
• Must be comfortable working in MS Office, and industry standard statistics and data visualization Packages - Power BI/Tableau

Additional Information:

• This position requires the selected candidate to work Full -Time in the Whitefield Bangalore, Karnataka office.
• This position requires candidate to work a 5-day -a -week schedule in the office
• Domestic Relocation is available
• Less than 10% travel is expected

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 Working Knowledge:
Explains the basic decision process associated with specific statistics.
Works with basic statistical functions on a spreadsheet or a calculator.
Explains reasons for common statistical errors, misinterpretations, and misrepresentations.
Describes characteristics of sample size, normal distributions, and standard deviation.
Generates and interprets basic statistical data.

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 Working Knowledge:
Approaches a situation or problem by defining the problem or issue and determining its significance.
Makes a systematic comparison of two or more alternative solutions.
Uses flow charts, Pareto charts, fish diagrams, etc. to disclose meaningful data patterns.
Identifies the major forces, events and people impacting and impacted by the situation at hand.
Uses logic and intuition to make inferences about the meaning of the data and arrive at conclusions.

Machine Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.
Level Working Knowledge:
Completes specific tasks and initiatives utilizing machine learning technologies, such as search engine optimization.
Utilizes specific tools and techniques to process descriptive and inferential statistics.
Applies specific computing languages and tools in machine learning, such as R and Python.
Explores to use machine learning in one own areas to make business improvements.
Conducts data mining and cleaning initiatives.

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 Working Knowledge:
Participates in the implementation and support of specialized programming languages.
Conducts basic reviews on writing a specific programming language within a specific platform.
Assists with the design and development of specialized programming languages.
Follows an organization's standards, policies and guidelines for structured programming specifications.
Diagnoses and reports minor or routine programming language problems.

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 Working Knowledge:
Defines, creates and tests simple queries by using associated command language in a specific environment.
Applies appropriate query tools used to connect to the data warehouse.
Obtains and analyzes query access path information and query results.
Employs tested query statements to retrieve, insert, update and delete information.
Works with advanced features and functions including sorting, filtering and making simple calculations.

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.\