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Principal Engineer - Data Analytics III
Net2Source
- 🇺🇸 United States
- Hybrid
- Staff / Principal
- 18 hours ago
- $190,000 – $200,000 / year
- AI
- Machine Learning
- RAG
- MLOps
- Devops
- CI/CD
- AI/ML
- Agile
- Python
- NumPy
- Pandas
- scikit-learn
- PyTorch
- TensorFlow
- SQL
- Natural Language Processing
- AWS
- Azure
- GCP
- Databricks
- Snowflake
- Apache Spark
- MLflow
- Docker
- Kubernetes
- Kubeflow
- Airflow
- Power BI
- Streamlit
18 hours ago
Who We Are
Net2Source 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: Data Scientist
Location: Oshkosh, Wisconsin, or New Hudson, Michigan (HYBRID - 3 days onsite and 2 remote)
Direct Hire + Benefits + 10% Bonus
Interview process:
Teams screening interview with HRBP
Teams interview with HM
Onsite interview with HRBP, HM and management.
Core requirements:
5+ years of experience; 6 years may be appropriate, according to the manager.
AI-savvy and business-savvy, with strong business relationships and experience working directly with business stakeholders—not solely back-end development.
Ability to manage work end to end and personally deploy and deliver the solution.
Shared considerations
Both roles are individual-contributor positions, not manager roles.
The manager is open to candidates who began in a business function or as a business analyst and later moved into IT, analytics, or data science, as well as candidates from consulting.
The roles are described as hybrid: 3 days onsite and 2 remote, based in Oshkosh, Wisconsin, or New Hudson, Michigan. Relocation is acceptable if the candidate is willing to relocate; the manager said these are not commuting positions.
Mentoring and executive-level communication are more central to the Principal role than to the Lead role.
SUMMARY
The Data Science Lead serves at the vital intersection of enterprise business strategy, machine learning innovation, and technical delivery. In this role, you will lead the strategic vision, architectural design, and operational deployment of predictive modeling, advanced analytics, and artificial intelligence solutions across key business units.
Technical Leadership & Solution Architecture
End-to-End Delivery: Architect, build, and deploy production-grade machine learning models, statistical frameworks, and Generative AI/LLM applications (e.g., RAG architectures, intelligent agents, and fine-tuned models).
Engineering Standards: Establish best-in-class coding, testing, evaluation, and documentation standards across the team. Conduct regular code and architecture reviews.
Production MLOps: Partner closely with Data Engineering and DevOps teams to establish robust CI/CD pipelines, automated model monitoring, feature stores, data drift detection, and automated retraining workflows.
Research & Innovation: Stay abreast of state-of-the-art developments in AI/ML, evaluating emerging methodologies, tools, and frameworks to accelerate organizational capabilities.
Strategy, Road mapping & Stakeholder Management
Business Translation: Collaborate closely with executive leadership, product managers, operations, and commercial leaders to translate complex business challenges into actionable data science initiatives.
Strategic Roadmap: Define and prioritize the enterprise AI and analytics roadmap, aligning project timelines, milestones, and deliverables with core business objectives.
Value Realization & Communication: Articulate complex algorithmic methodologies and quantitative findings in clear, non-technical language to executive stakeholders, driving adoption and demonstrable business impact.
Governance & Ethical AI: Champion data integrity, security, model explainability, algorithmic fairness, and compliance with organizational policies and international AI safety standards.
People Leadership & Team Development
Mentorship & Coaching: Lead, coach, and support junior and mid-level data scientists, nurturing individual career trajectories, continuous learning, and technical mastery.
Agile Project Execution: Foster an agile, delivery-focused sprint cadence, balancing exploratory research with strict milestone deadlines and business commitments.
Culture & Community: Cultivate an inclusive, collaborative culture that celebrates technical curiosity, innovation, and knowledge-sharing across cross-functional units.
Education & Professional Experience
Master's degree or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, Operations Research, or a related quantitative discipline (or equivalent practical experience).
Minimum of 6+ years of professional experience in data science, predictive modeling, or machine learning engineering.
Technical Expertise
Expert proficiency in Python (including NumPy, Pandas, Scikit-Learn, PyTorch, or TensorFlow) and advanced SQL.
Strong hands-on experience building supervised/unsupervised learning pipelines, deep learning models, natural language processing (NLP), and modern Large Language Model (LLM) architectures.
Proven track record utilizing enterprise cloud ecosystems (AWS, Azure, or GCP) and distributed compute systems (Databricks, Snowflake, Apache Spark).
Demonstrated familiarity with model tracking, containerization, and orchestration platforms (e.g., MLflow, Docker, Kubernetes, Kubeflow, Airflow).
Proficiency in presenting findings via business intelligence and visualization tools (e.g., Power BI, Streamlit).
Why Work With Us?
We believe in more than just jobs—we build careers. At Net2Source, we champion leadership at all levels, celebrate diverse perspectives, and empower you to make an impact. Think work-life balance, professional growth, and a collaborative culture where your ideas matter.
Our Commitment to Inclusion & Equity
Net2Source is an equal opportunity employer, dedicated to fostering a workplace where diverse talents and perspectives are valued. We make all employment decisions based on merit, ensuring a culture of respect, fairness, and opportunity for all, regardless of age, gender, ethnicity, disability, or other protected characteristics.
Awards & Recognition
• America's Most Honored Businesses (Top 10%)
• Fastest-Growing Staffing Firm by Staffing Industry Analysts
• INC 5000 List for Eight Consecutive Years
• Top 100 by Dallas Business Journal
• Spirit of Alliance Award by Agile1
Ready to Level Up Your Career?
Click Apply Now and let's make it happen.
Principal Engineer - Data Analytics III · Net2Source