Commercial Data Scientist

Career Area:

Job Description:

Caterpillar uses quantitative methods such as business simulations, data mining, and advanced statistical techniques to facilitate fact-based decision making. We are looking for a Commercial Data Scientistin the Enterprise Strategy team, who will be responsible to plan, design, develop and maintain the data architecture, data models and standards for different projects. Develop and maintain documentation of the data architecture, data flow and data models of the data warehouse appropriate for various audiences. Provide technical leadership to central team for the services growth. This role requires a broad range of skills and the ability to step into different roles depending on the size and the scope of the project.

Responsibilities:

• Work with Central team and key project stakeholders to understand their data needs. Provide Central team and dealers data support and analytical outcomes using quantitative analysis and statistical techniques. These analyses will be translated into actionable commercial recommendations and feasible solutions to grow Caterpillar’s global Services business.
• Develop statistical predictive models by analysing large datasets with a variety of Caterpillar tools (like BCS, OLGA, Jupiter, PSE, etc).
• Understand underlying data sources. Create innovative approaches to preparing complex data analyses and models that help solve problems, automate processes, and deliver measurable impact.
• Meet expectations in delivering results, distil complex results in an understandable manner, make timely decisions, and communicate effectively with all project stakeholders.
• Take ownership of technical solutions from design and architecture perspective for projects in presales phase as well as on-going projects.
• Suggest innovative solutions based on new technologies and latest trends.

Required Qualifications:

• Typically requires a Bachelor’s degree, preferably in statistics, economics, mathematics, or a similar field with quantitative coursework, and 5-6 years of professional experience utilizing quantitative analysis, a Master’s degree and 2-3 years of experience, or a PhD in one of the associated fields
• Business acumen - Capability of understanding Caterpillar business model, dealership network, services growth business, OPACC pools, etc.
• Ability to translate complex business data, rules or models into meaningful insights and analytics and be able to communicate complex insights to business leaders
• Proficiency in using Power BI, Snowflake, SQL or other equivalent data analytic software.
• Should be able to troubleshoot problems across infrastructure platforms.
• Incumbent must demonstrate thorough knowledge of statistical approaches, data management techniques, and/or related digital technologies, and the ability to handle complex issues.
• Must be comfortable working in MS Office and industry standard statistics. Very strong Excel & PowerPoint skills.
• Strong interpersonal and communication skills. Effective and persuasive in both written and oral communication.

Desired Qualifications:

• In addition to 2-4 years experience with Caterpillar, working with a different unit or working with different products, processes or systems is desirable.
• Passion for new technologies and demonstrated learning agility
• Will be good to have experience of Agile development methodologies.
• Comfortable to work with people from many different backgrounds and cultures, internally and externally, with the appropriate influence and ability to resolve differences

Caterpillar is an Equal Opportunity Employer (EEO).

Not ready to apply? Submit your information to our Talent Network here .