Data Scientist / ML Engineer

• Partner with business stakeholders, engineers, and subject-matter experts to define complex problems, requirements, and success criteria
• Assess data and technical feasibility, dependencies, risks, integration needs, and opportunities
• Plan and lead analytical initiatives from discovery and proof of concept through MVP, production deployment, and ongoing enhancement
• Design, develop, validate, and operationalize statistical, machine learning, simulation, and optimization solutions
• Apply software engineering, MLOps, and Responsible AI practices
• Provide technical direction, coordinate contributors, review deliverables, and remain involved in hands‑on development
• Communicate analytical findings, assumptions, limitations, and evidence-based recommendations
• Collaborate with stakeholders, engineers, subject‑matter experts, and multidisciplinary technical teams across iterative delivery stages

Requirements

• Degree in computer science, engineering, mathematics, statistics, operations research, data science, or a related quantitative discipline
• Six or more years of related experience, including significant hands‑on experience delivering data science or machine learning solutions
• Strong knowledge of statistics, machine learning, model validation, uncertainty assessment, and analytical interpretation
• Proficiency in Python and SQL
• Experience with established data science and machine learning libraries
• Hands‑on experience with Databricks or a comparable enterprise platform, including Spark or PySpark, MLflow, and production-focused machine learning development
• Experience engineering, deploying, and managing analytical solutions throughout their lifecycle
• Ability to learn complex subject areas, guide multidisciplinary contributors, influence technical decisions, and communicate recommendations clearly
• Ability to travel throughout North America (US and Canada) for business purposes
• Valid passport required
• Final candidates may be required to undergo security screening, including a criminal records check

Demonstrates expertise in statistical analysis, machine learning, and software engineering practices, with a strong focus on delivering data-driven solutions and operationalizing analytical initiatives. Proficient in Python, SQL, and enterprise platforms like Databricks, with a solid foundation in model validation and uncertainty assessment.

Highest-signal resume keywords

• Machine Learning Solutions Delivery
• Statistical Analysis
• Python Proficiency
• Databricks Experience
• MLOps Practices

Hard Skills

• Machine Learning
• Statistical Analysis
• Model Validation
• Uncertainty Assessment
• Python
• SQL
• Data Science Libraries
• Spark
• PySpark
• MLflow

Soft Skills

• Communication
• Collaboration
• Influencing Technical Decisions
• Guiding Multidisciplinary Contributors
• Analytical Interpretation

Certifications & Qualifications

• Valid Passport

Industry Keywords

• Data Science
• Machine Learning
• MLOps
• Statistical Solutions
• Analytical Initiatives

Tools & Technologies

• Databricks
• Spark
• PySpark
• MLflow