Principal Data Scientist

Arena Technical Resources, LLC; Oklahoma City (OK); Sur place; USD 140 000 - 210 000; Plein temps

Résumé du poste

Arena Technical Resources, LLC is seeking a Principal Data Scientist to lead enterprise AI/ML initiatives across manufacturing and predictive analytics. You will architect AI solutions for smart manufacturing, predictive maintenance, and supply chain optimization.

Responsibilities include setting technical roadmaps, mentoring teams, and partnering with executives to translate complex business problems into data-driven products with measurable ROI.

Qualifications

• Experience with industrial IoT, telematics, edge AI, or time-series data from heavy machinery, automotive, or aerospace.
• Background in computer vision, autonomous vehicle tech, or robotics.
• 8+ years of progressive analytics/AI responsibilities.
• Advanced proficiency in Python and SQL; R/Scala/C++ a plus.
• Deep experience with ML frameworks and cloud/data platforms; MLOps and DevOps skills.
• Familiarity with Agile/Scrum in large enterprises.

Responsabilités

• Define technical roadmap and architecture for enterprise AI/ML initiatives.
• Partner with executives to identify high-value analytics opportunities.
• Champion best practices for MLOps, governance, and scalable data products.
• Lead end-to-end design, development, and deployment of complex AI models.
• Translate business challenges into production-ready data science solutions.
• Provide mentorship to senior and mid-level data scientists and ML engineers.
• Collaborate with data engineering, cloud, and software teams for deployment and monitoring.
• Communicate ROI and analytic concepts clearly to stakeholders.

Connaissances

Python

SQL

C++

Scikit-learn

PyTorch

TensorFlow

XGBoost

Hugging Face

Azure

AWS

Databricks

Snowflake

Spark

Docker

CI/CD

MLflow

Model Registry

Monitoring

Agile/Scrum

Formation

Bachelor's degree in data science, mathematics, economics, statistics, engineering, or information management

MBA and/or PhD

Outils

Azure

AWS

Databricks

Snowflake

Apache Spark

Description du poste

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.