Digital Technology Data Scientist Lead

Axelon Services Corporation; Oshkosh (WI); Hybrid; USD 140,000 - 160,000; Full time

Job summary

Axelon Services Corporation seeks a senior data science/ML engineer to lead strategic AI initiatives. You will architect and deploy production-ready ML models, collaborate with Data Engineering and DevOps to establish CI/CD pipelines, and mentor junior scientists.

The role requires advanced ML expertise and strong communication with executives. The position is hybrid with in-office presence in Oshkosh, WI or New Hudson, MI and travel under 10%.

Qualifications

• Advanced proficiency in Python and SQL for modeling and data manipulation.
• Experience with supervised/unsupervised learning, deep learning, NLP.
• Familiarity with enterprise cloud ecosystems, distributed compute, and AI safety standards.

Responsibilities

• Lead the strategic vision and deployment of predictive modeling and AI solutions.
• Architect and deploy production-grade ML models and applications.
• Establish coding, testing, and documentation standards for data science work.
• Partner with Data Engineering and DevOps to build CI/CD pipelines and automated workflows.
• Translate business challenges into data science initiatives with leadership alignment.
• Define the AI/analytics roadmap aligned to business goals and explain methodologies to executives.
• Champion data integrity and security in AI initiatives.

Skills

Python

SQL

NLP

Deep Learning

Education

Master's degree or PhD in a related quantitative discipline

Tools

Docker

Kubernetes

Job description

• Work Mode: Hybrid (3 days in office, 2 days remote)
• Location: Oshkosh, WI or New Hudson, MI
• Shift: 3 days in office and 2 days remote
• Travel: less then 10% US Citizen

Pay Rate

$140K - $160K /10% bonus

Summary

• Work Mode: Hybrid (3 days in office, 2 days remote)
• Location: Oshkosh, WI or New Hudson, MI
• Shift: 3 days in office and 2 days remote
• Travel: less then 10% US Citizen

Responsibilities

• Lead the strategic vision, architectural design, and operational deployment of predictive modeling, advanced analytics, and AI solutions.
• Architect, build, and deploy production-grade machine learning models and applications.
• Establish coding, testing, evaluation, and documentation standards.
• Partner with Data Engineering and DevOps to establish CI/CD pipelines and automated workflows.
• Collaborate with executive leadership to translate business challenges into data science initiatives.
• Define and prioritize the AI and analytics roadmap, aligning with business objectives.
• Articulate complex methodologies to executive stakeholders.
• Champion data integrity, security, and compliance with AI safety standards.
• Mentor and coach junior and mid-level data scientists.
• Foster an agile, delivery-focused environment.
• Cultivate an inclusive, collaborative culture.

Requirements

• Master’s degree or Ph.D. in a related quantitative discipline or equivalent practical experience.
• Minimum of 6 years of professional experience in data science or machine learning engineering.
• Expert proficiency in Python and advanced SQL.
• Experience with supervised/unsupervised learning, deep learning models, and NLP.
• Familiarity with enterprise cloud ecosystems and distributed compute systems.
• Knowledge of model tracking, containerization, and orchestration platforms.
• Proficiency in business intelligence and visualization tools.

Preferred Skills

• Strategic thinking with the ability to connect data capabilities to business strategy.
• Outstanding verbal and written communication skills.
• Focus on business utility, providing reliable, interpretable, and maintainable solutions.