Career Area:

Job Description:

Cat Digital is the digital and technology arm of Caterpillar Inc., responsible for bringing world class digital capabilities to our products and services. With almost one million connected assets worldwide, we're focused on using IoT and other data, technology, advanced analytics and AI capabilities to help our customers build a better world.

Cat Digital’s Advanced Data Quality team is looking for a talented and motived Data Analytics Engineer that will primarily focus on the data quality evaluation of a very large set of diverse data from IoT connected assets, our integrated network of dealers and enterprise data. This role will contribute to the definition and implementation of quality metrics, identification of data quality rules and evaluation of their impact, as well as root cause analysis of data quality problems. You will also use analytics and visualization methods to solve problems for Caterpillar internal customers. Top candidates will have prior experience in a business intelligence or quality role, be proficient in SQL, have development experience in Python and dashboard design.

JOB DUTIES: As a Data Scientist you will contribute to design, development, testing and deployment of software systems and/or applications.

• Provide analytics support to high profile Data Platform projects across the division
• Use analytics methods to make recommendations to Designers, Product Owners and Managers
• Design, develop, and maintain Dealer and Enterprise quality dashboards and reports
• Work independently without close supervision on medium to high complexity projects
• Work on 2-3 projects concurrently
• Drives analytical model development focused around delivering business valuable features
• Employee is also responsible for performing other job duties as assigned by Caterpillar management from time to time.
• Demonstrates above average planning and organization, teamwork, and decision-making skills as well as a strong concern for customers

Basic qualifications:

• BS or MS degree in quantitative discipline such as data science, data analytics, computer science, engineering, statistics, mathematics, finance or other related degree
• 5+ years of software development experience (3+ years of experience with master’s degree)
• 3+ years of experience in designing and implementing data processing frameworks
• 3+ years of experience with Python, NoSQL and relational databases

Top candidates will also have:

• MS degree in a quantitative discipline such as data science, data analytics, computer science, engineering, statistics, mathematics, finance or other related degree
• Proven experience in some of the following:
  • Compiling and standardizing diverse, non-sanitized datasets.
  • Working with structured and unstructured data.
  • Developing classification and regression models.
  • Unsupervised learning algorithms.
  • Experience integrating analytical models with existing data pipelines.
• Solid knowledge of statistical approaches, quantitative analytic methods, data management techniques, and/or related digital technologies, and the ability to handle complex issues.
• Proven experience with AWS full-stack development and services such as Athena, Glue, DynamoDB, EC2, EMR, RDS, S3, SageMaker
• Experience with Snowflake data warehouse
• Experience visualizing data using BI software such as Tableau and MS Power BI
• Ability to learn and comply with company policies and procedures
• Passion for technology and an eagerness to contribute to a team-orientated environment

Location: Candidates who will be considered for this role must be living or willing to relocate to Chicago, IL. This team follows a hybrid location work model with a blend of work from home (WFH) and in-office collaboration.

#LI-Hybrid

EEO/AA Employer. All qualified individuals - Including minorities, females, veterans and individuals with disabilities - are encouraged to apply.

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