Data Scientist I

Miovision

4d•CA$85,000 - CA$95,000•Remote

About The Position

At Miovision, we are engineering the future of smart transportation, and we are looking for a highly motivated Data Scientist to help us navigate the massive intersections of our global transportation data. With years of rich, real-world data securely parked in our systems, we need a curious, detail-oriented mind to help us shift our insights into high gear. You will merge onto a highly collaborative team, applying statistical modeling, machine learning, and AI to help our customers bypass gridlock and solve complex, real-world infrastructure challenges. If you are ready to accelerate your career, build data-driven solutions for our web-based analytics platform, and ensure our algorithms always get the green light, it is time to hit the gas!

Requirements

Experience (which can include co-ops, internships, or heavy academic projects) in data analysis, statistical modeling, or machine learning/AI.
Strong working knowledge of Python programming—writing clean, readable, well-structured code—and are entirely comfortable using Git for version control.
Highly familiar with SQL for pulling, manipulating, and analyzing data.
Solid foundation in statistics, algorithms, and core data science concepts, paired with a relentless eagerness to explore new datasets and pinpoint critical insights.
Hands-on exposure to data visualization tools (like Streamlit, Sigma, or Dash) and possess the strong written and verbal communication skills needed to confidently present your findings.
Self-motivated, inquisitive thinker who thrives in a fast-paced, dynamic environment and is genuinely excited to collaborate with a diverse team of engineers, PMs, and sales professionals.

Nice To Haves

Master’s or Ph.D. in a highly quantitative STEM field.
Extra exposure to Snowflake, AWS cloud platforms, or GIS data analysis.

Responsibilities

Assist in preparing, transforming, and deeply analyzing complex data from real-world sources, including global locations and vehicles.
Contribute to building, validating, and maintaining customer-facing machine learning models and robust data pipelines under the mentorship of senior team members.
Help break down complex, overarching project requirements into small, actionable, and deliverable slices.
Write impeccably clean, well-documented, and highly reproducible code while following software engineering best practices.
Champion proactive efforts to improve data quality, integrity, and completeness across the entire organization.
Deep-dive into massive datasets to identify hidden patterns, spot anomalies, and uncover fresh opportunities for impactful analysis.
Translate complex, technical findings into clear, actionable insights for your immediate team, cross-functional partners, and relevant stakeholders.
Actively seek feedback, learn Miovision’s data stores inside and out, and enthusiastically develop both your data science skills and your traffic engineering domain knowledge.