Data Science (MLOPS) Tech Lead
Core
Principal Data Scientist leading the end-to-end lifecycle of production-ready machine learning solutions for enterprise digital products.
Role type
Principal Data Scientist (MLOps Tech Lead)
Builds
Scalable enterprise analytics products, production ML models, and reusable data science patterns.
Domain
Enterprise data & analytics (commercial, supply chain, manufacturing, logistics, finance)
Deliverable
production ML models
Required skills
Machine learning, statistical modeling, Python, SQL, data wrangling, model deployment, monitoring, cloud platforms, CI/CD, Docker, Kubernetes, Git, Agile
Preferred skills
Deep learning, reinforcement learning, simulation, optimization, Bayesian methods, causal inference, NLP, Responsible AI, visualization tools, mentoring
Technologies
Python, SQL, Databricks, Azure, Docker, Kubernetes, Jenkins, Git
Responsibilities
Lead complex data science initiatives from discovery to sustained business use; translate business problems into ML approaches; design explainable and reliable analytical solutions; partner with stakeholders to deliver business-ready products; industrialize models into production components; define success metrics and model health measures; research emerging ML methods; provide technical leadership and coaching to data scientists and engineers.
Seniority
Principal, hands-on IC with technical leadership