Lead Data Scientist

Job Description:

• 8+ years of experience in Data Science, Machine Learning, Advanced Analytics, or Artificial Intelligence.
• 3+ years serving in a senior technical leadership capacity.
• Demonstrated experience delivering enterprise-scale analytics and AI initiatives.
• Experience mentoring and developing Data Scientists.
• Experience partnering directly with business stakeholders and leadership teams.
• Experience leading cross-functional initiatives involving product, engineering, and business teams.

Ideal Candidate Profile:

We are seeking a Lead Data Scientist who is a recognized expert in Data Science and AI while possessing the breadth required to successfully deliver modern data products and support enterprise transformation.

The ideal candidate:

• Leads the Data Science discipline through technical expertise, mentorship, and best practices.
• Has demonstrated experience taking analytical solutions from concept to production, including business requirements, data preparation, model development, application development, deployment, user adoption, and value realization.
• Is highly proficient in Databricks and modern analytics development practices.
• Understands Data Engineering concepts and collaborates effectively with Lead Data Engineers.
• Has practical experience building analytical applications using technologies such as React, FastAPI, Streamlit, Databricks Apps, or similar frameworks.
• Works effectively with Digital Product Managers, Digital Product Owners, Data Engineers, Machine Learning Engineers, Data Scientists, architects, and business stakeholders.
• Possesses strong problem-solving abilities and can rapidly learn new technologies, frameworks, cloud platforms, and business domains.
• Delivers measurable business outcomes rather than simply models, analyses, or proofs of concept.
• Helps drive organizational modernization through AI, data products, advanced analytics, and digital transformation initiatives.

Required Technical Skills

Expert-Level Expertise

• Machine Learning
• Statistics
• Predictive Analytics
• Prescriptive Analytics
• Optimization
• Forecasting
• Experimental Design
• Artificial Intelligence
• Generative AI
• Python
• SQL

Advanced Proficiency

• Databricks
• Apache Spark
• Model Deployment
• MLOps
• API Development
• AI Solution Development
• Git
• CI/CD Practices

Working Knowledge

• ETL/ELT Development
• Data Modeling
• Data Governance
• Software Development Practices
• Cloud Architecture
• Data Engineering Principles

Preferred Skills

• AWS
• GCP
• Azure
• React
• FastAPI
• Streamlit
• Databricks Apps
• RAG Architectures
• LLM-Based Applications
• Optimization Solvers
• Manufacturing Analytics