
Data Scientist, Applied AI – Solutions Architect, Industrial & Operational Environments
Reverse Logistics Group (RLG)
full-time
Posted on:
Location Type: Hybrid
Location: Vancouver • Canada
Visit company websiteExplore more
Salary
💰 CA$105,000 - CA$140,000 per year
Tech Stack
About the role
- Design and deploy fit-for-purpose AI and data systems that ingest and structure complex client datasets
- Develop custom machine learning models and practical AI agents, including workflow automation tools, copilots, and decision support systems
- Build automated data pipelines and interactive dashboards such as Power BI and Streamlit that enable clear, data-driven decision-making
- Translate complex data into clear, actionable insights, focusing on what to do next
- Act as a trusted advisor in preparation for client engagement, communicating technical concepts in plain language to executive stakeholders
- Partner with clients to identify high-impact opportunities where AI can accelerate operational and business performance
- Support and help build internal AI capabilities and contribute to the AI roadmap
- Use data to inform internal business performance, identifying trends, risks, and growth opportunities
Requirements
- 5 years of relevant experience in data science, analytics, or applied AI, with exceptional early career candidates considered
- A Bachelor's degree in a relevant field, with advanced degrees as an asset
- Strong programming capability in Python with JavaScript as an asset
- Experience or strong interest in AI and machine learning, including agentic systems, workflow automation, NLP, or predictive analytics
- Proficiency in SQL and experience building scalable data pipelines such as Airflow, Snowflake, or cloud native tools
- Experience creating clear, executive-level data visualizations
- Experience applying data, analytics, or AI solutions in industrial, operational, or asset-intensive environments such as oil and gas, manufacturing, logistics, or infrastructure
- Ability to translate data into business decisions and operational impact.
Benefits
- Competitive compensation aligned to experience and impact
- Opportunity to build and shape AI capabilities from the ground up
- Direct exposure to senior leadership and strategic decision-making
- A variety of projects across industrial sectors and functions, offering continuous learning and challenge
- A collaborative, entrepreneurial environment where your work directly influences outcomes
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningAIdata sciencePythonJavaScriptSQLdata pipelinesworkflow automationNLPpredictive analytics
Soft Skills
communicationadvisorycollaborationinsight translationdecision-making