Lead Data Scientist

Caterpillar; Chennai; In loco; INR 1.200.000 - 1.800.000; Tempo pieno

Vantaggi offerti da questo lavoro

Relocation assistance

Descrizione del lavoro

Caterpillar is hiring a Lead Data Engineer to join the Pricing Analytics - Enterprise Strategy team in Chennai, India. You will design and deliver scalable data platforms, pipelines, and cloud solutions to power global pricing decisions, while providing technical leadership and mentorship.

The role emphasizes Python, cloud, data quality, observability, and collaboration with data scientists, analysts, and business stakeholders to drive impactful data and AI solutions.

Competenze

• Lead technical teams and major engineering initiatives.
• Design and build scalable production data platforms and pipelines.
• Strong Python development and modern software practices.
• Experience architecting scalable cloud solutions.
• Mentor engineers and grow team capabilities.
• Influence stakeholders and translate business problems into technical solutions.
• Experience with CI/CD tools and observability practices.
• Experience with AWS components and data stores.

Mansioni

• Lead architecture, design, and delivery of scalable data platforms, pipelines, and data products.
• Set technical direction and establish engineering standards for the team.
• Own delivery of complex data engineering initiatives from design through production.
• Balance hands-on development with technical leadership, design reviews, and code reviews.
• Mentor engineers and help develop technical capabilities across the team.
• Establish best practices for Python, Git, CI/CD, testing, data quality, and observability.
• Partner with stakeholders to prioritize work and translate requirements into solutions.
• Identify and resolve technical risks and production challenges.
• Evaluate emerging technologies and drive adoption where beneficial.

Conoscenze

Technical Leadership

Data Engineering

Python

Cloud Engineering

Git & Version control

CI/CD

Architecture

Mentoring

Stakeholder alignment

AI/ML integration

Strumenti

AWS

Sagemaker

PostgreSQL

Snowflake

Oracle

Git

Github Actions

Azure DevOps

S3

Lambda

Descrizione del lavoro

Career Area:

Technology, Digital and Data

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.

Job Description

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 Engineer (Lead Data Scientist) to join our Pricing Analytics - Enterprise Strategy - Global Financial Division Team. You will lead the design and delivery of scalable data platforms, pipelines, and cloud solutions that power global pricing decisions. You will provide technical leadership to the team, solve complex data challenges, and ensure solutions are reliable, scalable, and maintainable. Working with data scientists, analysts, engineers, and business stakeholders, you will set technical direction, develop engineering talent, and drive the delivery of high-impact data and AI solutions.

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

What You Will Do:

• Lead the architecture, design, and delivery of scalable data platforms, pipelines, and data products.
• Set technical direction and establish engineering standards for the team.
• Own delivery of complex data engineering initiatives from design through production.
• Balance hands‑on development with technical leadership, design reviews, and code reviews.
• Mentor engineers and help develop technical capabilities across the team.
• Establish best practices for Python, Git, CI/CD, testing, data quality, and observability.
• Partner with business and technical stakeholders to prioritize work and translate complex requirements into solutions.
• Identify and resolve technical risks, dependencies, performance issues, and production challenges.
• Evaluate emerging technologies and drive adoption where they improve engineering effectiveness.
• What You Will Have:
  • Technical Leadership: Experience leading technical teams, projects, or major engineering initiatives.
  • Data Engineering: Extensive experience designing and building scalable production data platforms and pipelines.
  • Software Engineering: Strong Python development skills and modern software engineering practices.
  • Cloud Engineering: Experience architecting scalable, secure, and resilient cloud solutions.
  • People Development: Ability to mentor engineers, provide technical guidance, and grow team capabilities.
  • Business Partnership: Ability to influence stakeholders, navigate ambiguity, and translate business problems into technical solutions.
• Top Candidates Will Have:
  • Extensive experience in designing and developing software applications in Python.
  • Experience with AI assisted software development (ex. Github Copilot, Cursor, Codex, etc)
  • Extensive experience working with Git version control
  • Extensive experience deploying software using CI/CD tools such as Github Actions, Azure Devops etc.
  • Experience with AWS components such as Bedrock, Lambda, Fargate, S3, Sagemaker, IAM and RDS
  • Experience with databases such as PostgreSQL, Snowflake, Oracle, etc.
  • Demonstrated strong learning ability and a proactive approach to staying current with the latest technologies and industry trends.
  • Demonstrated architecture experience
  • Experience leading teams
• The position requires the candidate to work a 5-a day -week schedule in the office
• Shift Timing: EMEA Shift :01:00PM -10:00PM IST
• Additional Details:
  • This position requires the candidate to be in Chennai, India
  • Relocation assistance is available for this position
  • Visa sponsorship is NOT available with this position
• 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.
    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