Data Scientist

描述

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.

About Power & Energy Procurement

Caterpillar’s Power & Energy Procurement organization plays a critical role in supporting all divisions within Power & Energy. Our work is geared towards our pistons of Predictable Supply Excellence, Optimized Total Cost of Ownership, Supplier Relationship Management and Lifecycle Sourcing Strategy. We continue to develop suppliers who competitively deliver operational excellence, enabling our customers to build a better world. With a strong focus on data-driven decision-making and operational efficiency, Power & Energy Procurement leverages advanced tools and processes to connect the physical and digital supply chain, enabling business units to deliver high-performance solutions that meet evolving customers and business needs.

Role Definition
We are seeking a Data Scientist to partner closely with the Power and Energy Drivetrain team. In this role, you will analyze large volumes of data to support data-driven business decisions, identify insights, and contribute to solution development.

What You Will Do:

• Directing data gathering, data mining, and data processing processes in huge volume; creating appropriate data models.

• Exploring, promoting, and implementing semantic data capabilities through Natural Language Processing, text analysis and machine learning techniques.

• Leading to define requirements and scope of data analyses; presenting and reporting possible business insights to management using data visualization technologies.

• Conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses.

• Designs and develops solutions, collaborates with senior stakeholders and business users to collect VOB/VOC, business requirements, and prepares implementation plans for successful deployment.

• Contributes to strategic initiatives such as the development of standardized best practices, offerings, services and development of associated tools & training.

What You Will Have:

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.

• 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 using associated command language in a specific environment.

• Applies appropriate query tools used to connect to the data warehouse.

• Obtains and analyzes query access path information and query results.

• Employs tested query statements to retrieve, insert, update and delete information.

• Works with advanced features and functions including sorting, filtering and making simple calculations.

What Sets You Apart:

• Knowledge of business process improvement best practices and ability to use methods for identifying, evaluating, introducing and implementing more efficient approaches to performing business related activities.

• Ability to move beyond data collection and reporting by translating data into recommendations that drive business decisions and process improvements.

• Experience working with enterprise data platforms such as Snowflake, including querying, validating, and connecting data sources to reporting and visualization tools.

Additional Information:

• Relocation is not available for this position.

• Sponsorship is not offered for this position.

Caterpillar Inc. is the world’s leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. For nearly 100 years, we’ve been helping customers build a better, more sustainable world and are committed and contributing to a reduced-carbon future. Our innovative products and services, backed by our global dealer network, provide exceptional value that helps customers succeed.

Summary Pay Range:

Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.

Benefits:

Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.

• Medical, dental, and vision benefits*

• Paid time off plan (Vacation, Holidays, Volunteer, etc.)*

• 401(k) savings plans*

• Health Savings Account (HSA)*

• Flexible Spending Accounts (FSAs)*

• Health Lifestyle Programs*

• Employee Assistance Program*

• Voluntary Benefits and Employee Discounts*

• Career Development*

• Incentive bonus*

• Disability benefits

• Life Insurance

• Parental leave

• Adoption benefits

• Tuition Reimbursement

* These benefits also apply to part-time employees

Posting Dates:

Any offer of employment is conditioned upon the successful completion of a drug screen.

Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.

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