Position Summary: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!
Objectives and Responsibilities:- Data Wrangling: Assist in preparing, transforming, and deeply analyzing complex data from real-world sources, including global locations and vehicles.
- Pipeline Paving: Contribute to building, validating, and maintaining customer-facing machine learning models and robust data pipelines under the mentorship of senior team members.
- Agile Execution: Help break down complex, overarching project requirements into small, actionable, and deliverable slices.
- Code Craftsmanship: Write impeccably clean, well-documented, and highly reproducible code while following software engineering best practices.
- Quality Control: Champion proactive efforts to improve data quality, integrity, and completeness across the entire organization.
- Pattern Recognition: Deep-dive into massive datasets to identify hidden patterns, spot anomalies, and uncover fresh opportunities for impactful analysis.
- Clear Communication: Translate complex, technical findings into clear, actionable insights for your immediate team, cross-functional partners, and relevant stakeholders.
- Continuous Growth: 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.
The Ideal Profile:- The Rising Star: You bring experience (which can include co-ops, internships, or heavy academic projects) in data analysis, statistical modeling, or machine learning/AI. (Bonus points for a Master's or Ph.D. in a highly quantitative STEM field!)
- The Python & Git Pro: You have a strong working knowledge of Python programming-writing clean, readable, well-structured code-and are entirely comfortable using Git for version control.
- The Data Manipulator: You are highly familiar with SQL for pulling, manipulating, and analyzing data. Any extra exposure to Snowflake, AWS cloud platforms, or GIS data analysis puts you at the front of the pack.
- The Analytical Thinker: You possess a rock-solid foundation in statistics, algorithms, and core data science concepts, paired with a relentless eagerness to explore new datasets and pinpoint critical insights.
- The Visual Storyteller: You have 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.
- The Curious Collaborator: You are a 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.
Your Rewards & Well-being:We invest in our team with benefits designed for modern life and true work-life balance.
- Comprehensive Coverage: Your well-being is covered from day one with comprehensive health benefits, 24/7 virtual healthcare access, and dedicated wellness programs.
- Financial Future: Build for tomorrow with our RRSP/401K Matching Plan and share in the company's success through our Variable Incentive Plan.
- Time to Recharge: Truly unplug with our unique Mio-Days and flexible vacation policy.
- Work & Life Support: We support you with flexible work options, an internet subsidy, a remote work allowance, and enhanced leave for new parents.
Sound like your next adventure? Apply now and let's start building together! 
