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Digital Technology Data Scientist Lead

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Onsite

Digital Technology Data Scientist Lead

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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