Data Scientist - Autonomy & Automation

Career Area:

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.

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.

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

Top candidates will also:

• Demonstrate experience translating customer needs to development requirements for software.
• Consistently produce high-quality work by asking the right questions, thinking critically about problems, and relentlessly pursuing quality.
• Familiarity with project management methodologies as they will participate in multiple projects representing expertise for digital offerings and strategic

Posting Dates:

Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply

Not ready to apply? Join our Talent Community.