About The Position

Join the Platform Analytics and AI team of Cat Digital and be responsible for delivering advanced analytics, data science, and machine learning solutions that support business decision-making, product innovation, and operational excellence. This position partners closely with analytics leaders, product teams, and technical stakeholders to translate complex business problems into scalable, data-driven solutions. The role plays a critical part in ensuring data quality, developing analytical models, and providing actionable insights that drive measurable business impact across digital initiatives.

Requirements

  • Business Statistics: Working knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions.
  • Accuracy and Attention to Detail: Extensive understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision.
  • Analytical Thinking: Working 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: Working knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.
  • Programming Languages: Working 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.
  • Requirements Analysis: Working knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project.

Nice To Haves

  • Typically, a Bachelors, Masters, or PhD degree in Applied Statistics, Data Science, Business Analytics, Predictive Analytics, Business Intelligence & Analytics, Mathematics, Computer Science, Engineering (Aerospace, Electrical, Mechanical, Computer, Industrial, Agricultural, etc.), or equivalent technical degree .
  • Hands-on experience: applying Python programming to solve business challenges.
  • advanced data analysis and statistical methods such as regression, hypothesis testing, ANOVA, statistical process control, etc
  • practical applications of Machine Learning techniques such as Clustering, Logistic Regression, Random Forests, SVM or Neural Networks.
  • working with generative AI, with an understanding of strengths, limitations, and responsible use considerations.
  • Advanced experience in quantifying the costs, benefits, risks and chances for success before recommending a course of action.
  • In-depth technical and problem-solving skills and evidence of continuous learning in the analytics field
  • Working knowledge with cloud technologies (AWS, Azure, Google Cloud, etc.)
  • Advanced experience with version control / repositories such as GitHub
  • Experience operating in an Agile environment
  • Must demonstrate strong initiative, interpersonal skills, and the ability to communicate effectively.

Responsibilities

  • Design, develop, and maintain advanced analytical models, including machine learning and statistical approaches, to support digital products and enterprise initiatives.
  • Analyze large, complex datasets to identify trends, patterns, and opportunities for improvement.
  • Partner with cross-functional teams to define analytical requirements and translate business questions into data science solutions.
  • Support data quality initiatives by validating data sources, identifying gaps, and recommending improvements.
  • Communicate insights and model results clearly to technical and non-technical stakeholders.
  • Contribute to continuous improvement of analytics tools, methodologies, and best practices within Cat Digital.

Benefits

  • 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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