Data Scientist II- Data Algorithms & Optimization, Cat Digital

* 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.

- ** 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.
* 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.
* 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 Git Hub
* Experience operating in an Agile environment
* Must demonstrate strong initiative, interpersonal skills, and the ability to communicate effectively.

- 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.
* 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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