Principal Data Scientist
Location: Oklahoma City, OK, US
Job ID: ATR 18127
Job Description
Job Title: Principal Data Scientist
Job Location: Oshkosh, WI or New Hudson, MI
Eligibility/Clearance: US Citizenship required as this supports a
government contract
The Principal Data Scientist serves as the technical authority and
strategic lead for enterprise artificial intelligence, machine learning,
and advanced analytics initiatives across Oshkosh Corporation. In this
role, you will architect cutting-edge AI solutions to optimize smart
manufacturing, predictive maintenance, aftermarket parts and sales and
supply chain operations.
YOUR IMPACT
Define the technical roadmap and architecture for enterprise AI/ML
initiatives aligned with business objectives.
Partner with executive leaders across Access, Defense, Fire &
Emergency, and Commercial segments to identify high-value analytics
opportunities.
Champion best practices for MLOps, model governance, ethical AI, and
scalable data products.
Lead the end-to-end design, development, and deployment of complex
predictive, prescriptive, and generative AI models.
Translate complex business challenges into production-ready data
science frameworks
Provide technical mentorship and guidance to senior, mid-level, and
associate data scientists and machine learning engineers.
Collaborate closely with data engineering, cloud infrastructure, and
software teams to ensure robust model deployment and monitoring.
Communicate complex analytical concepts and ROI metrics clearly to
technical and non-technical stakeholders.
QUALIFICATIONS
Experience with industrial IoT, telematics, edge AI, or time-series
sensor data from heavy machinery, automotive, or aerospace domains.
Background in computer vision (CV), autonomous vehicle tech, or
robotics.
8+ years of progressive levels of responsibility in analytics and AI
in any business organization
Programming: Advanced proficiency in Python and SQL; experience with
R, Scala, or C++ is a plus.
ML/AI Frameworks: Deep experience with Scikit-learn, PyTorch,
TensorFlow, XGBoost, and Hugging Face.
Big Data & Cloud: Strong hands-on experience with cloud ecosystems
(Azure or AWS), Databricks, Snowflake, and Apache Spark.
MLOps & DevOps: Demonstrated expertise in Docker, CI/CD pipelines,
MLflow, model registry, monitoring, and automated retraining
workflows.
Familiarity with Agile/Scrum delivery frameworks within large
enterprise environments.
Industry Experience
Experience working in a portfolio company with multi-business units;
preferably a manufacturing company
Bring domain expertise in Supply chain, Manufacturing or Lifecycle
services
Consulting (nice to have)
Personal Characteristics
Exceptional problem-solving, strategic thinking, and architectural
design skills.
Strong business acumen with the ability to link algorithmic output
to measurable industrial impact
Fit with Oshkosh culture
AI and Business savvy person who understands how businesses make
money and how AI tools can help businesses solve real business
problems
Strong EQ with the demonstrated ability to relate to both data
scientists and business leaders
A strong listener with strong written, and verbal communication
skills
Change agent who can lead via inspiration and motivation, subject
knowledge, and demonstrating a "roll up your sleeves" approach to
working
Preferred Qualifications
Bachelor's degree in data science, mathematics, economics,
statistics, engineering, or information management
Advanced Degree (MBA and/or PhD)
Background in computer vision (CV), autonomous vehicle tech, or
robotics.
Familiarity with Agile/Scrum delivery frameworks
Arena Technical Resources, LLC, (ATR) is an Equal Opportunity Employer
(EOE) who will provide equal employment opportunity to employees and
applicants for employment without regard to race, ethnicity, religion,
color, sex, pregnancy, national origin, age, veteran status, ancestry,
sexual orientation, gender identity or expression, marital status,
family structure, genetic information, or mental or physical disability.
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