Senior Data Scientist (Senior AI Data Scientist)

Career Area:

Job Description:

Your Work Shapes the World at Caterpillar Inc.

When you join Caterpillar yourejoining 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 dontjust 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 youre 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 dont 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 Senior Data Scientist (Senior AI Data Scientist) to join our Digital Finance-Disruptive Tec -Global Financial services Division

We are seeking a highly experienced Senior AI Data Scientist to utilize AI in the development of architecture and tools in support of a cutting-edge AI-driven platform for financial data harmonization and monitoring. With over 10 years of experience the ideal candidate will be a thought leader in applying Artificial Intelligence (AI) and Large Language Models (LLM) to solve complex data challenges within the finance domain. This role is pivotal in transforming our data landscape by creating intelligent systems for multi-source data connectivity automated data manipulation and ensuring the highest standards of data quality. You will be instrumental in building a solution to streamline data flow from various ERP systems to our Master Data Management and reporting platforms.

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

What you will do

• Strategic AI Leadership: Utilize your knowledge in the development of an AI-powered data harmonization platform to automate the mapping and consolidation of financial data from multiple ERP systems.
• Advanced Model Development: Design and implement sophisticated AI/ML models including the use of LLMs and Natural Language Processing (NLP) to interpret standardize and enrich financial data.
• Data Connectivity and Integration: Develop AI-driven solutions to establish and maintain robust data connectivity between disparate financial systems ensuring seamless data flow and integrity.
• Data Quality and Anomaly Detection: Implement intelligent data quality monitoring and anomaly detection systems to proactively identify and resolve data integrity issues in our financial data pipelines.
• Financial Domain Application: Apply expertise in financial data and processes to build AI models that understand and automate complex data manipulation and allocation rules.
• Cross-Functional Collaboration: Work closely with finance IT and business stakeholders to define requirements present solutions and drive the adoption of AI-powered data management practices.
• Mentorship and Innovation: Mentor junior data scientists and engineers while staying at the forefront of AI LLM and machine learning advancements to drive continuous innovation.

What you will have

• Educational Background: A masters or Ph.D. in Computer Science Data Science Artificial Intelligence or a related quantitative field is required.
• Extensive Experience: A minimum of 10 years of hands-on experience in data science with a significant focus on building and deploying AI and machine learning models in a corporate environment.

AI and Machine Learning Expertise:

• Demonstrated mastery of machine learning techniques (e.g. classification regression clustering) and advanced analytics.
• Proven experience in developing and implementing deep learning models particularly with NLP LLMs and Generative AI for applications like data summarization and anomaly detection.
• Hands-on experience with deep learning toolkits such as PyTorch TensorFlow Transformers and HuggingFace.

Programming and Database Proficiency:

• Advanced programming skills in Python and proficiency with ML/DS libraries like pandas NumPy and scikit-learn.
• Expertise in SQL and experience with large-scale data processing frameworks and databases (e.g. Teradata Snowflake).

Financial Acumen:

• A strong understanding of financial concepts financial data systems (ERPs) and data analysis within a corporate finance context.
• Experience in financial modelling forecasting and risk management is highly desirable.

Data Architecture and Integration:

• Proven experience in designing and building data models and robust data pipelines especially in a multi-system environment.
• Familiarity with data harmonization master data management principles and ETL/ELT processes.

Analytical and Strategic Thinking:

• Exceptional problem-solving skills with the ability to tackle ambiguous and complex challenges in the financial data domain.
• A strategic mindset to translate business needs into innovative AI-driven solutions and communicate complex technical concepts to both technical and non-technical stakeholders.

Preferred Qualifications Capabilities and Skills:

• Experience with cloud platforms (e.g. AWS GCP Azure) and their AI/ML services.
• Familiarity with reporting and business intelligence platforms such as OneStream.
• A track record of leading technical projects and mentoring data science teams.
• Experience in building ML models in a cloud environment and with big data

• This position requires candidate to work a 5-day -a -week schedule in the office

Top Candidates Will Have:

• Bachelors degree or masters degree in information systems STEM Finance or similar related discipline
• Progressive Project Management experience including ability to strategize implement and maintain project initiative
• Knowledge of product lifecycle tools methods and techniques of requirement analysis
• Collaboration experience with Data Product Architecture Data Science and Engineering teams in both USA and Offshore environment
• Intermediate understanding of SQL concepts and professional experience with database management (SQL Server and Snowflake) and data reporting tools (PowerBI Tableau etc.)
• Proven experience on business processes systems and data across key financial domains including Procure-to-Pay Record-to-Report Invoice-to-Cash Order-to-Cash and Financial Planning & Analysis
• Experience in Blackline tool implementation is a plus

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 organizations 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 Extensive Experience:
Writes debugs and implements complex queries involving multiple tables or databases.
Works with aggregate functions complex joins groupings dynamic and embedded SQLs (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.
• 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 is an Equal Opportunity Employer (EEO)

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

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