Data Scientist II – Data Algorithms & Optimization

Jobtailor; Peoria (IL); On-site; USD 110,000 - 160,000; Full time

Job summary

Jobtailor seeks a data science professional to design, develop, and maintain advanced analytical models for digital products and enterprise initiatives. You will analyze large datasets, identify trends, and translate business questions into data science solutions.

The role requires expertise in Python, ML techniques, statistical methods, and cloud platforms, with strong communication and collaboration skills across teams.

Qualifications

• Bachelor’s, Master’s, or PhD in applied statistics, data science, analytics, or related technical field.

Responsibilities

• Design, develop, and maintain advanced analytical models including ML and statistical approaches to support digital products and enterprise initiatives.

Skills

Python

Data analysis

Statistical methods

Machine learning

Cloud platforms

GitHub

Agile

Communication

Problem solving

Continuous learning

Education

Statistics/Data Science degree

Mathematics/Computer Science background

Tools

AWS

Azure

Google Cloud

Jupyter

GitHub

Job description

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.

Requirements

• 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.
• Extensive 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.