Lead Data Scientist, Rental

Career Area:

Business Technologies, Digital and Data

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.

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 1.5 million connected assets worldwide, our teams use data, technology, advanced analytics, telematics, and AI capabilities to help our customers build a better, more sustainable world.

Job Summary:

We are seeking a Lead Data Scientist to be a technical expert and take charge of transforming data into actionable insights within our Rental team of Cat Digital. You will play a pivotal role in shaping and delivering innovative analytics solutions to optimize our digital investments and drive the expansion of Rental revenue and customer base.

As the Lead Data Scientist, you will be responsible for leading a team of data scientists, collaborating with cross-functional teams, and guiding the development and implementation of innovative data-driven solutions.

This role requires a strong background in data science, proficiency in Python, Machine Learning, AWS, exceptional analytical skills, and the ability to translate technical findings into strategic recommendations.

If you're a strategic thinker with a passion for turning data into actionable insights and possess strong leadership skills, we invite you to lead our Rental Insights and Analytics team towards greater success.

What You Will Do:

Drive a data-driven product development culture to optimize digital investments, increasing Rental revenue, and expanding the customer base through enhanced dealer operations and improved product utilization.

• Lead and mentor a team of data scientists, providing guidance and support in project execution and professional development.

• Collaborate with stakeholders across the organization to identify opportunities for leveraging data science to improve processes, optimize operations, and enhance customer experiences.

• Leading to define requirements and scope of data analyses, communicate findings and recommendations to technical and non-technical audiences through compelling visualizations, presentations, and reports.

• Conduct exploratory data analysis to uncover insights, trends, and patterns in large-scale datasets.

• Design and develop predictive models, algorithms, and analytical frameworks to solve complex business problems and drive strategic decision-making.

• Evaluate and implement advanced machine learning techniques, such as deep learning, natural language processing, and reinforcement learning, to address business challenges.

• Stay abreast of the latest developments in data science, machine learning, and artificial intelligence, and assess their potential impact on our business.

Skills You Will Have:

• Leadership, Cross-functional Collaboration and Communication: Lead cross-functional teams in developing and executing the R&U BI/Analytics roadmap. Work closely with departments across the organization to understand their data needs and provide solutions that enhance decision-making processes.

• Data Analysis and Requirements Gathering: Conduct in-depth analysis of complex business data, providing valuable insights to support strategic initiatives and operational efficiency. Gather and document business requirements for BI & Analytics, defining KPIs and metrics.

• Analytical Thinking: Extensive 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.

• Machine Learning: Extensive knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.

• Programming Languages: Extensive knowledge of basic concepts and capabilities of applying Python programming to solve business challenges; ability to use tools, techniques and platforms in order to write and modify programming languages.

Considerations For Top Candidates:

• Bachelor's or higher degree in a Quantitative discipline such as Data Science, Data Analytics, Computer Science, Engineering, Statistics, Mathematics, Finance, or other related degree and 8+ years of professional experience utilizing quantitative analysis/ data management, or a Master's degree and 6+ years of relevant experience.

• Extensive experience applying Python (NumPy, SciPy, Pandas, etc) programming and SQL queries to solve complex business challenges.

• Extensive experience (typically 6 years+) with advanced data analysis and statistical methods such as regression, hypothesis testing, ANOVA, statistical process control, etc.

• Extensive experience in practical applications of Machine Learning techniques such as Clustering, Logistic Regression, Random Forests, SVM or Neural Networks.

• Knowledge of data visualization packages like Power BI and Tableau.

• Knowledge of AWS services, Cloud ELT/ETL and Data Lake solutions (Snowflake/AWS) and applied knowledge of stackable solutions and automation techniques is a plus.

• Experience in design / development of heavy equipment (ex. automotive, aerospace, engine, transmission, construction, mining, industrial, etc)

• Advanced experience with version control / repositories such as GitHub

• Experience operating in an Agile environment.

• Advanced experience in quantifying the costs, benefits, risks and chances for success before recommending a course of action.

• Must demonstrate strong initiative, interpersonal skills, Strong consultative skills, and the ability to communicate and tell compelling stories with data.

What You Will Get:

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.

Additional Information:

• This position can be in either Chicago, IL, Dallas, TX, or Peoria, IL and offers a flexible hybrid work environment.

• #LI-Hybrid

• #BI (used to post on Built In Chicago)

About Caterpillar

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.

Visa sponsorship available for eligible applicants.

Posting Dates:

April 22, 2024 - April 28, 2024

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

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

Not ready to apply? Join our Talent Community (~~~) .

There's more to work at Caterpillar than just the work itself. We hire smart, friendly people and it shows in our culture. We hold ourselves to high standards and make sure our values of integrity, excellence, teamwork, commitment and sustainability come to life in the way we work. We make sure our employees feel continuously challenged while also supported. We provide professional growth opportunities, including leadership programs. We celebrate the diversity of our team, while also working together as one Caterpillar.

Our culture, like everything at our company, is made possible by each employee's contribution. Person by person, we create the environment we work in, and we are proud of the Caterpillar we've built.