Principal Data Scientist

• Shift: 3 days in office and 2 days remote
• Relocation: Yes, willing to relocate for the right person
• Travel: less than 10%

Summary

• Shift: 3 days in office and 2 days remote
• Relocation: Yes, willing to relocate for the right person
• Travel: less than 10%
• US Citizen

Responsibilities

• Define the technical roadmap and architecture for enterprise AI/ML initiatives aligned with business objectives.
• Partner with executive leaders across various 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 data scientists and machine learning engineers.
• Collaborate with data engineering, cloud infrastructure, and software teams to ensure robust model deployment and monitoring.
• Communicate complex analytical concepts and ROI metrics clearly to stakeholders.

Requirements

• Minimum 8 years of experience in analytics and AI.
• Proven experience delivering analytics or AI projects tied to business outcomes.
• Strong business or domain expertise in manufacturing, supply chain, operations, sales, or lifecycle services.
• Experience working between business teams and IT/analytics.
• Strong communication, business acumen, and ability to influence senior leaders.
• Demonstrated experience mentoring junior team members.
• Experience with industrial IoT, telematics, edge AI, or time-series sensor data.
• Advanced proficiency in Python and SQL; experience with R, Scala, or C is a plus.
• Deep experience with ML/AI frameworks such as Scikit-learn, PyTorch, TensorFlow, XGBoost, and Hugging Face.
• Strong hands-on experience with cloud ecosystems (Azure or AWS), Databricks, Snowflake, and Apache Spark.
• 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.

Preferred Skills

• Awareness of and openness to market-based or vendor-led AI solutions.
• A consultative, outcome-focused approach to delivering solutions.
• Background in computer vision (CV), autonomous vehicle tech, or robotics.
• Experience working in a portfolio company with multi-business units; preferably a manufacturing company.
• Domain expertise in supply chain, manufacturing, or lifecycle services.
• Consulting experience (nice to have).
• Bachelor’s degree in data science, mathematics, economics, statistics, engineering, or information management.
• Advanced Degree (MBA and/or PhD).

Benefits

• Competitive salary with performance-based bonus.
• Opportunity for relocation for the right candidate.
• Hybrid work mode offering flexibility.
• Engagement with cutting-edge AI/ML initiatives.