Data Scientist II
Urbint uses AI and the latest industry science to identify threats to workers and infrastructure to stop safety incidents before they happen. We are a tight-knit team working together to build powerful technology that prevents serious injuries and infrastructure damages. Many of the largest energy and infrastructure companies in North America trust Urbint to protect workers, assets, communities, and the environment.

Job Summary
We are seeking a Data Scientist II to join our growing data science team. In this role, you will contribute to a wide range of activities related to end-to-end machine learning (ML) deployments, research, and development of data-driven features that support both internal and external stakeholders. This position is ideal for someone who enjoys variety, thrives in a collaborative environment, and wants to broaden their expertise in a structured and impactful way.

What You’ll Do

• Develop subject matter expertise in the organization’s data and product ecosystem.
• Partner with cross-functional teams to identify opportunities, design experiments, and deliver scalable ML solutions that create measurable business value.
• Lead the design of experiments and hypothesis testing to support new feature development.
• Design, implement, and deploy machine learning models across diverse use cases, with opportunities to apply techniques to specialized domains such as weather-related modeling.
• Communicate findings and insights clearly to both technical and non-technical audiences using visualizations and presentations.
• Monitor and evaluate model performance and ensure data quality in production.
• Stay current with advancements in machine learning, AI, and emerging technologies.

Who You Are

• Preferred: Prior experience working with weather data or weather-related modeling.
• 3–5 years of experience building and deploying machine learning models.
• Master’s or PhD in statistics, mathematics, computer science, or another quantitative field.
• Strong problem-solving skills with an emphasis on product development.
• Proficient in programming languages such as Python and/or R, with experience using libraries such as pandas, scikit-learn, and TensorFlow.
• Experience with SQL and relational databases for data extraction and manipulation.
• Hands-on experience with ML techniques for predictive modeling, classification, NLP (including large language models), recommendation systems, and time series methods.
• Familiarity with the software development lifecycle, version control (Git), and CI/CD pipelines.
• Experience with cloud-based AI/ML frameworks such as AWS, Azure, or GCP is a plus.
• Strong organizational, communication, and time management skills.
• High level of accountability and ability to deliver results in a fast-paced environment.

Compensation & Benefits

• Competitive compensation package
• Generous Paid Time off, Paid Company Holidays including Mental Health Days
• Medical Insurance covering self, spouse, 2 children and parents/in-laws
• Hybrid work – 3 days at office; 2 days at home

We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.