Data Scientist / ML Engineer

Jobtailor; Calgary; On-site; CAD 120,000 - 160,000; Full time

Benefits offered by this job

Valid Passport

Job summary

Jobtailor seeks an accomplished data science and ML leader to partner with stakeholders, engineers, and experts to define complex problems and success criteria. You will assess feasibility, dependencies, and risks, then steer analytical initiatives from discovery through MVP to production, delivering statistical and ML solutions with robust MLOps practices.

You will guide multidisciplinary teams, communicate evidence-based recommendations, and ensure lifecycle management of analytics while

Qualifications

• Advanced degree-related quantitative field or equivalent experience.
• Six+ years delivering data science or machine learning solutions.
• Strong statistics, ML, model validation, and interpretation skills.
• Proficiency in Python and SQL.
• Experience with Databricks or comparable platforms (Spark/PySpark, MLflow).
• Lifecycle management of analytical solutions from development to production.
• Ability to learn complex domains and influence technical decisions.
• Ability to travel North America; valid passport.

Responsibilities

• Partner with stakeholders to define complex problems, requirements, and success criteria.
• Assess data feasibility, dependencies, risks, and integration needs.
• Plan and lead analytical initiatives from discovery to MVP and production.
• Design, develop, validate, and operationalize ML and statistical solutions.
• Apply software engineering, MLOps, and Responsible AI practices.
• Provide technical direction and review deliverables while hands-on development continues.
• Communicate findings, assumptions, limitations, and evidence-based recommendations.
• Collaborate across multidisciplinary teams through iterative delivery stages.

Skills

Statistical Analysis

Machine Learning

Model Validation

Uncertainty Assessment

Python

SQL

Data Science Libraries

Spark

PySpark

MLflow

Education

Degree in computer science or related quantitative discipline

Tools

Databricks

Spark

PySpark

MLflow

Job description

• 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