SR. DATA SCIENTIST, ECOMMERCE ANALYTICS

Key Skills

Java Programming, Python Programming, SQL, Azure, AWS, NumPy, Pandas, SciPy, Snowflake, Google Cloud Platform (GCP)

Job Description

Cat® Digital is the digital and technology arm of Caterpillar Inc., leveraging the latest technologies to build industry leading digital solutions for our customers and dealers. With over one million connected assets worldwide, our teams use data, technology, advanced analytics, telematics and AI capabilities to help our customers build a better world.

Working with a Fortune 100 leader, you can build your career on a global scale and take advantage of development opportunities with emerging technologies. We’ve created an inclusive environment for you to explore your passions, make an impact and do the work that really matters. Join Us.

JOB PURPOSE:

The eCommerce Analytics team is seeking a talented and motivated Data Scientist to develop analyses that drive insights to our Aftermarket Services eCommerce business. We serve as business partners to the Business teams as well as the Site Product Management teams to answer questions and deliver insights that can help drive and grow our eCommerce business. Our analyses apply financial data as well as behavioral data of how end customers are using our eCommerce sites to identify opportunities. This role will require a skillset in advanced statistical modeling and data science techniques combined with a business sense that allows the successful candidate to deliver meaningful results to our business teams.

JOB DUTIES:

Caterpillar uses quantitative techniques to solve problems. Typical problems include maximizing OPACC through improvements in Inventory Costs, Material Costs, NPI costs, etc; determining the principal drivers of health care costs; recommending the optimal supplier for a part; identifying sales, rental, and service opportunities for Caterpillar dealers; and developing simulation/optimization capabilities to model a new facility or product feature. In addition, analytics experts also provide assistance to high-profile enterprise-wide projects such as the Engineered Value Chain. Role is focused on the Caterpillar eCommerce Business.

The principal responsibility of Senior Data Scientist is to move from being an individual contributor on analytic teams to acting as the technical lead on such teams. He or she will participate on cross-functional project teams, provide overall guidance to the technical direction of the project, and mentor Jr Data Scientists on the technical approaches being used in order to solve a problem presented by a Caterpillar Business Unit or Service Organization, a Caterpillar Dealer, or a Caterpillar Customer.

The Senior Data Scientist will:

• Demonstrate a breadth of knowledge in the application statistical methods and/or digital methods to solve business problems
• Coach and mentor other Data Scientists in the creation, validation, and application of statistical models, as well as in implementing digital solutions
• Participate on 3-4 projects concurrently
• Demonstrate thorough knowledge of Caterpillar Inc.; its products and services; its internal systems, processes, and procedures; and its relevant external influences (competitors, laws and regulations, market conditions, etc.) to meet or exceed customer expectations.
• Demonstrate strong initiative to research and apply new methods to exceed customer expectations.
• Have a strong focus on continual learning in the Analytics field

Significant challenges of this position are working with people; enhancing the team’s creativity; maintaining knowledge of approaches used in similar projects; and pushing the technical bounds of experimentation while meeting customer commitments. The Senior Data Scientist acts as overall technical lead for the team in establishing a sound analytic approach for solving the problem at hand. The Data Scientist will develop good networks within the technical community to enable them to collaborate on technical solutions, obtain resources and cooperation needed, and remove roadblocks so that they can ensure the success of their team.

The Senior Data Scientist reports to an Analytics Manager and bears primary responsibility for solving the business problem presented through applied analytics.

Basic Qualifications:

• Typically requires a Bachelor’s degree, preferably in statistics, economics, mathematics, or a similar field with quantitative coursework, and 7-10 years of professional experience utilizing quantitative analysis is required, or a Master’s degree and 4-6 years of experience, or a PhD and 1-3 years of experience in relevant experience.
• Must be comfortable working in MS Office, and industry standard statistics and data visualization packages. 
• 3+ years of experience applying python (NumPy, SciPy, pandas, etc.) programming to solve business challenges
• Breadth and depth of knowledge in the application of statistical and/or digital methods to solve business problems
• Experience leading analytics projects connecting data from various business domains and providing forecasts and insights to run the business profitably

Top Candidates Will Also Have:

• The ideal candidate will have a minimum of two years experience in an eCommerce environment, applying advanced analytics to eCommerce metrics and developing web insights. 
• Strong technical and problem-solving skills and evidence of continuous learning in the analytics field
• Advanced business knowledge and skills: performing analyses that answer questions in a manner that addresses business problems
• Demonstrate strong leadership, initiative, interpersonal skills and the ability to communicate effectively with internal teams and our business partners. Also, must possess business skills that will enable them to present business answers with analyses to our partner teams.
• Competency in coaching and mentoring Jr. Data Scientists in the creation, validation, and application of statistical models as well as in implementing digital solutions
• Proficiency in AWS, AWS SageMager and Snowflake.
• Experience with cloud technologies (AWS, Azure, Google Cloud, etc)
• Knowledge of Caterpillar Inc.; its products and services; its internal systems, processes, and procedures; and a general understanding of Caterpillar’s external customers, competitors, and market influencers.
• Strong initiative to research and apply new methods and digital technologies to exceed customer expectations.
• Strong ability to communicate effectively with team members and others in the work group, as well as with business partners