Principal Engineer - Data Analytics IV

Job-ID Reference
26-21541

Salary $190,000-$200,000 / year

Join a Global Leader in Workforce Solutions – Net2

Source Inc.

Who We Are
Net2

Source Inc. isn't just another staffing company, we're a powerhouse of innovation, connecting top talent with the right opportunities. Recognized for 300% growth in the past three years, we operate in 34 countries with a global team of 5,500+. Our mission? To bridge the talent gap with precision—Right Talent. Right Time. Right Place. Right Price.

Job Title:

Principal Data Scientist

Location:

Oshkosh, Wisconsin, or New Hudson, Michigan (HYBRID - 3 days onsite and 2 remote)
Direct Hire + Benefits + 10% Bonus Core requirements8+ years of experience is the manager's expectation for the principal level.

Proven experience delivering analytics or AI projects tied to business outcomes, with demonstrated impact on revenue growth or margin improvement.

Strong business or domain expertise in manufacturing, supply chain, operations, sales, or lifecycle services. Candidates from fields such as automotive, energy, Client, or healthcare may also fit if they bring relevant business acumen.

Experience working between business teams and IT/analytics: engaging senior business leaders (AVP level and above), gathering requirements, translating them into technology problems, and explaining solutions back to the business.

Strong communication, business acumen, and ability to influence, including handling challenging conversations with senior leaders.

Demonstrated experience mentoring junior team members.

Preferred Awareness of and openness to market-based or vendor-led AI solutions—not assuming every solution must be built in-house.

A consultative, outcome-focused approach: able to deliver a solution by building it, partnering with a vendor or consultancy, or using managed services.

YOUR IMPACTDefine 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, Tensor Flow, XGBoost, and Hugging Face.

Big Data & Cloud:
Strong hands-on experience with cloud ecosystems (Azure or AWS), Databricks, Snowflake, and Apache Spark.

MLOps & Dev Ops:
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…