Senior Data Scientist

Miovision

full-time

Posted on: 9/20/2025

Origin: • 🇨🇦 Canada

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Senior

AWSCloudJavaScriptPythonSQL

About the role

Lead, own and execute complex data-driven projects that provide actionable insights and solutions to support business objectives in a collaborative manner.
Break down new project requirements into small slices to deliver outcomes faster.
Prepare, transform and analyze data from real-world sources (location and vehicles).
Build and own customer-facing models and data pipelines.
Explore and identify new sources of traffic data to combine with existing datasets.
Research and implement new tools and techniques to solve novel problems.
Drive improvements to data quality and completeness across the company.
Communicate insights and analyses with relevant stakeholders.
Become an expert in Miovision’s data stores and adhere to best practices for analyzing the data.
Understand current data collection techniques and biases/gaps.
Mentor and support junior members on the Data Science team.

Over 5 years of relevant experience in data analysis, statistical analysis, data modeling, machine learning/AI, or deep learning.
Strong background in Python programming, with the ability to write efficient and scalable code.
Proficiency in SQL, with a preference for experience using Snowflake for data manipulation and analysis.
Solid understanding of algorithms and techniques to address novel and complex problems.
Experience with data visualization tools such as Streamlit, Looker, or Dash to effectively communicate insights and findings.
Proven experience in developing, validating, and deploying machine learning models into production environments.
Working knowledge of traffic engineering practices.
Strong written and verbal communication skills for creating high-quality documentation and effectively conveying complex insights to non-technical stakeholders.
Experience with Git for version control.
Demonstrated ability to thrive in a fast-paced, dynamic environment.
Motivation to research and explore alternative methodologies for enhanced data analysis and model development.
A master's degree or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or related sciences is preferred (Nice to Have).
Experience in analyzing and working with GIS data to derive insights and develop tools (Nice to Have).
Proficiency in reading and writing code in C# or JavaScript (Nice to Have).
Experience with cloud platforms such as AWS (Nice to Have).