Principal Data Scientist

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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