Sr. Data Scientist, Used Insight and Analytics

Caterpillar-posted 9 months ago
$110,520 - $179,640/Yr
Full-time • Mid Level
Hybrid • Chicago, IL
Machinery Manufacturing
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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.

  • 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.
  • Directing the 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.
  • Defining 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.
  • Conduct in-depth analysis of complex business data, providing valuable insights to support strategic initiatives and operational efficiency.
  • Gather and document business requirements for Analytics, defining KPIs and metrics.
  • Extensive experience with the necessity and value of accuracy; ability to complete tasks with high levels of precision.
  • 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.
  • Extensive knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.
  • Extensive knowledge of basic concepts and capabilities of applying Python (NumPy, SciPy, Pandas, etc) programming to solve business challenges; ability to use tools, techniques and platforms in order to write and modify programming languages.
  • Extensive knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use.
  • Bachelors, Masters, or PhD degree in Applied Statistics, Data Science, Predictive Analytics, Business Analytics, Mathematics, Computer Science, Engineering (Aerospace, Electrical, Mechanical, Computer, Industrial, Agricultural, etc.), Informatics, Information Systems Management, or equivalent technical degree.
  • Extensive experience applying Python (NumPy, SciPy, pandas, etc) programming to solve 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.
  • Advanced experience in quantifying the costs, benefits, risks and chances for success before recommending a course of action.
  • Knowledge of Machine Learning, and data visualization packages like Power BI and Tableau.
  • Knowledge of AWS services, Cloud ELT/ETL, Data Lake solutions (Snowflake/AWS).
  • Experience in design / development of heavy equipment (ex. automotive, aerospace, engine, transmission, construction, mining, industrial, etc).
  • Must demonstrate strong initiative, interpersonal skills, Strong consultative skills, and the ability to communicate and tell compelling stories with data.
  • 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
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