Career Area:

Engineering

Job Description:

Key job responsibilities include:

• Data mining using state-of-the-art methods

• Enhancing data collection procedures to include information that is relevant for building analytic systems

• Processing, cleansing, and verifying the integrity of data used for analysis

• Doing ad-hoc analysis and presenting results in a clear manner

• Use statistical research and analysis to understand which approach and algorithm to use

• Creating automated anomaly detection systems and constant tracking of its performance

• Selecting features, building and optimizing classifiers using machine learning techniques

• Build predictive models and machine-learning algorithms

• Combine models through ensemble modeling

• Responsible for defining and documenting architecture, capturing and documenting non-functional (architectural) requirements, preparing estimates and defining technical solutions to proposals (RFPs)

• provide technical leadership to project team to perform design to deployment related activities, provide guidance, perform reviews, prevent and resolve technical issues

• Analyse complex business and competitive issues and discerns the implications for systems support. Identifies, defines, directs and preforms analysis of technical and economic feasibility of proposed data solution.

• Creates and manages a machine learning pipeline, from raw data acquisitions to merging and normalizing to sophisticated feature engineering development to model execution.

• Exhibit advanced visualization skills, as well as creative problem-solving

• Interacting with customers to have an in-depth understanding of their operations to improve their processes for managing equipment and interfacing with Caterpillar.

• Providing project leadership, advice, and counsel to developers, management, customers and project teams on the most complex aspects of application development and system integration.

• Minimum 6+ years of relevant experience.

Qualifications

Basic (Required) Qualifications:

• Strong analytical skills.

• Strong math skills (e.g. statistics, algebra)

• Problem-solving aptitude

• A Bachelor’s Degree from an accredited college or university or equivalent years (4 years) of experience relevant to this role.

• Five or more years of progressively responsible role relevant experiences that demonstrate both breadth of business knowledge and depth of digital and analytical skillsets.

• Curiosity about and a deep interest in how digital technology and systems are powering the way users do their jobs.

• Comfortable working in a dynamic environment where digital is still evolving as a core offering.

• Ability to clearly and succinctly explain complex topics.

• Expert in Python; familiar with concurrency in Python

• Proficient with git or similar source control system; and Experienced with git-based development workflows

• Ability to design and consume well-tailored REST APIs

• Experience working in development teams with code reviews and varying levels of seniority

• Experience both in jumping into an existing architecture, and starting projects from scratch

• Proven ability to take initiative and dive into areas of new technology

• Self-motivated with a passion for learning, analyzing technology tradeoffs, and shipping product

• Good applied statistics skills, such as distributions, statistical testing, regression, etc.

• Proficiency in using query languages such as SQL

• Good scripting and programming skills

• Data-oriented personality

Desired Qualifications:

• Master’s Degree in Computer Science, Statistics, Applied Math or related field

• Extensive background in data mining and statistical analysis

• Excellent pattern recognition and predictive modeling skills

• Experience with common data science toolkits, such as Python, R, Weka, MatLab, etc (Excellence in at least one of these is highly desirable)

• Experience in Data science frameworks Jupyter notebook, AWS Sagemaker, Azure ML etc

• Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks

• Experience with data visualisation tools, such as Tableau, PowerBI, AWS Quicksight, D3.js, GGplot, etc.

• Experience with NoSQL databases, such as MongoDB, Cassandra, HBase

Skills:

• Fundamentals of Data Science

• Probability & Statistics

• Multivariate Calculus & Linear Algebra

• Programming knowledge

• Data Manipulation and Analysis

• Data Visualization

• Machine Learning

• Deep Learning

• Big Data

• Software Engineering

• Model Deployment

• Communication Skills

• Storytelling Skills

• Structured and Critical Thinking

• Problem solving skills and Innovative thinkins

• Observation and Investigation Skills

• Curiosity

Caterpillar is an Equal Opportunity Employer (EEO).

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