Embedded Product Analytics Senior Engineer

Caterpillar Inc.•Mossville, IL

1d•Onsite

About The Position

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. About IPSD Caterpillar’s Industrial Power Systems Division (IPSD) designs, tests and manufactures 0.5 to 18L engines that not only power Caterpillar machines, but also power over 5000 other applications including Marine, Petroleum, Industrial Applications, Electric Generators, and Locomotives. Caterpillar’s company strategy includes sustainability as one of four focus areas and IPSD is engaged and actively preparing green energy solutions for the future. Role Definition Caterpillar’s Industrial Power Systems Division - Large (IPSD-L) currently has an opening for Embedded Product Analytics Senior Engineer within the Digital & Analytics team. This position is located at our Mossville, IL Tech Center - L facility. In this role, you will serve as a key technical contributor, responsible for supporting the planning, execution, and successful delivery of embedded analytics projects.

Requirements

Bachelor’s degree in accredited Mechanical, Electrical, or Computer/Data Science Engineering required
Domain Knowledge: Knowledge of a specific domain, its current trends, directions, and regulatory considerations; ability to apply domain-specific knowledge to relevant situations. Level Working Knowledge: Describes the experience of working with a domain expert in the organization. Identifies relevant domain-specific standards, practices, and policies. Discusses domain-specific operational issues and risks. Participates in various projects involving domain expertise. Demonstrates knowledge of the current regulatory environment.
Technical Analysis: Knowledge of the concepts, methodologies, and activities in technical analysis; ability to forecast the direction of technical landscape using technical indicators and take collective actions. Level Extensive Experience: Lists commonly used technical analysis tools and technologies. Documents key technical analysis procedures and policies. Describes basic concepts and major activities associated with technical analysis. Identifies the sources of information to extract the required data and technical indicators.
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.
Decision Making and Critical Thinking: Knowledge of the decision-making process and associated tools and techniques; ability to accurately analyze situations and reach productive decisions based on informed judgment. Level Working Knowledge: Applies an assigned technique for critical thinking in a decision-making process. Identifies, obtains, and organizes relevant data and ideas. Participates in documenting data, ideas, players, stakeholders, and processes. Recognizes, clarifies, and prioritizes concerns. Assists in assessing risks, benefits and consideration of alternatives.
Effective Communications: 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. Level Working Knowledge: Delivers helpful feedback that focuses on behaviors without offending the recipient. Listens to feedback without defensiveness and uses it for own communication effectiveness. Makes oral presentations and writes reports needed for own work. Avoids technical jargon when inappropriate. Looks for and considers non-verbal cues from individuals and groups.
Technical Excellence: Knowledge of a given technology and various application methods; ability to develop and provide solutions to significant technical challenges. Level Working Knowledge: Provides effective technical solutions to routine functional challenges via sound technical competence, effectively examining implications of events and issues. Effectively performs the technical job aspects, continuously building knowledge and keeping up-to-date on technical and procedural job components. Applies technical operating and project standards based on achieving excellence in delivered products, technologies and services. Applies current procedures and technologies to help resolve technical issues in one's general area of technical competence. Helps others solve technical or procedural problems or issues.

Nice To Haves

Experience developing data-driven engine health and condition monitoring solutions, including proficiency in Python and SQL; data visualization tools (Tableau or Power BI); and working with Snowflake and/or Oracle databases.
Proficiency in statistical and analytical methods, including Artificial Intelligence/Machine Learning (AI/ML) and AWS cloud computing.
Extensive experience working with SC2, VIMS, PSR, and BDT data sources

Responsibilities

Contribute to the conception, development, and design of complex algorithms, analytical models, and applications that leverage product data from field and lab
Perform complex analyses; identify design issues; and develop, validate, and implement solutions with a focus on technical delivery.
Develop data mining processes and tools for engine data collection, aggregation, feature extraction, analytics modeling, and reliability/durability forecasting to support engineering design, simulation, CPI, and NPI.
Collaborate with engineering and digital teams to tailor algorithms and models to division needs, supporting Caterpillar machines and a broad range of external applications.
Drive innovation by creating and improving analytics capabilities that enhance the performance, reliability, and durability of industrial power systems.
Partner with internal units, suppliers, customers, and cross-functional teams, communicating technical information clearly, concisely, and accurately.
Research and apply emerging analytics techniques and algorithmic approaches to meet customer requirements within agile and digital NPI processes.
Stay current on evolving customer needs and new technologies; provide technical guidance and direction to less experienced engineers
Develop and deploy machine-learning-based Engine and Aftertreatment Condition Monitoring Prioritized Service Event (CM-PSE) models and grow services revenue