Senior Data Scientist

Cat Digital’s Analytics & Applied AI team seeks a Senior Data Scientist to support sales and services growth using advanced analytics, machine learning, and AI. In this onsite role, you will work with business leaders and analytics teams to translate complex data into actionable insights and scalable digital solutions, while serving as a technical leader who mentors others.

Location and Work Setup

• Location: Chicago, IL (onsite)
• Additional eligible locations: Chicago, IL or Peoria, IL
• Relocation assistance: Not available
• Visa sponsorship: Not available

Salary and Compensation

• Salary range: USD 112,710 - 183,140 per year
• Note: Compensation and benefits may vary based on individualized factors including job level, market location, job-related knowledge, skills, and performance. Salary is one component of total compensation.

Core Responsibilities

• Lead and contribute to multiple analytics and applied AI initiatives, applying statistical and machine learning methods to solve business challenges and support sales and services growth.
• Partner with cross-functional stakeholders to convert business needs into insights, recommendations, models, and digital solutions.
• Coach and mentor data scientists across development, validation, deployment, and responsible application of analytical solutions.
• Research and apply emerging analytical and AI techniques to improve business outcomes and expand team capabilities.
• Communicate complex analytical findings clearly to both technical and non-technical audiences.

Required Qualifications

• Extensive knowledge of machine learning principles, technologies, and algorithms, including classification, regression, optimization, descriptive statistics, and inferential statistics.
• Knowledge of Python, SQL (NumPy, SciPy, Pandas, etc.), or R, with the ability to develop and modify code to solve business problems.
• Strong ability to identify root causes of organizational problems and create alternative solutions, including knowledge of techniques and tools that support effective analysis.
• Working knowledge of exploratory data analysis to extract patterns, trends, and insights, including data mining and cleaning, and writing, debugging, and implementing queries involving multiple tables or databases.
• Knowledge of statistical tools, processes, and practices to describe business results in measurable terms and support business decision-making.
• Understanding of the value of accuracy and ability to complete tasks with high precision.
• Knowledge of data management systems, including the ability to use, support, and access facilities for searching, extracting, and formatting data for further use.
• Knowledge of requirement analysis tools and techniques, including eliciting, analyzing, and recording business functional and non-functional requirements for system or software development projects.

Technologies

• Python
• SQL
• NumPy
• SciPy
• Pandas
• R
• AWS
• Azure
• GCP

Education

A Bachelor’s degree in Statistics, Economics, Mathematics, Data Science, or a related quantitative field.

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

Consideration for Top Candidates

• A bachelor’s degree in Statistics, Economics, Mathematics, Data Science, or a related quantitative field.
• Analytics experience, or an equivalent combination of graduate education and relevant experience.
• Experience collaborating with cross-functional teams to provide data-driven insights and solve business challenges.
• Experience applying applied AI techniques, advanced statistical methods, forecasting, machine learning, or work in production environments, including initiative to research and apply new methods and digital technologies to exceed customer expectations.
• Strong Python, SQL, and data visualization experience.
• Cloud platform experience with AWS, Azure, or GCP is preferred.
• Experience leading analytics projects, mentoring others, and connecting data across business domains to generate insights that support profitable growth, with strong communication, interpersonal, and collaboration skills.

Posting Dates and Screening

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