A
Axelon Services Corporation
Digital Technology Data Scientist Lead
Skills
SQL QueriesData EngineeringDeep LearningPythonData ScienceData AnalysisMachine LearningAINo-code AutomationsNLP / Natural Language ProcessingCompliance
7 days ago
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Important information
Contract type:
Other
Salary:
$1 / hour
Location:
Oshkosh, WI, USA
Work mode:
Onsite
Published on:
20 October 2026
What they need
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.
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