Data Scientist I - Miovision Technologies

At Miovision, we’re unlocking transportation networks that move you. Our vision and mission is to enable smart, fast, safe communities that simply flow, as we drive the Intelligent Mobility Revolution. Backed by the world’s most advanced traffic AI, Miovision’s innovations in traffic signal planning and operations are making it possible for cities to improve the transportation experience for drivers, cyclists and pedestrians. Our values drive us. They’re at the core of everything we do. If they align with yours, proceed through the GREEN light!

All in to win: We're driven by a winning mindset, approaching every challenge with intensity, clarity, and speed.

One Miovision: We succeed as one team, uniting diverse talents, building on trust, and putting our shared mission before ego.

Be better every day: We're committed to continuous growth, staying curious, building mastery, and embracing challenges as learning opportunities.

Make it happen: We are proactive and results-driven, taking ownership, acting with urgency, and focusing on solutions that deliver real impact.

Earn the customer: We are deeply customer-centric, focused on earning our customers' partnership every day by delivering exceptional experiences that drive their success.

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.