Digital Technology Data Scientist Lead

Axelon

  • Oshkosh, WI
  • 9 days ago
  • $1 Per Hour

Highlights

Lead the strategic vision, architectural design, and operational deployment of predictive modeling, advanced analytics, and AI solutions. Collaborate with executive leadership to translate business challenges into data science initiatives.

Numbers & Facts

LocationOshkosh, WI
Salary$1 Per Hour

Description

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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