Senior Data Scientist, Product - Risk Operations

At Urbint, our mission is to build a world with zero safety incidents. We do this by pairing data with artificial intelligence to identify areas of high risk and prevent catastrophic loss for utilities and infrastructure operators across the country. Our work literally saves lives.

Job Summary

As a Senior Data Scientist, you will be part of the Product Risk Operations team that owns the development of Urbint’s AI-powered technology that helps our clients make communities safer and more resilient. Our technology helps our customers in reducing carbon emissions, reducing infrastructure risk and avoiding fatalities, a fact that we pride ourselves in.

As a part of the Risk Operations team, you will be working on a wide range of activities related to end-to-end Machine Learning (ML) deployments, research and development of ML product features to support internal and external stakeholders. This is a great role for someone who enjoys variety and is also looking to expand their skill set in a structured fashion.

What You’ll Do

• Serve as a thought leader on the application of AI within the utilities industry, guiding the direction for how AI can be used in Urbint’s products to enable our clients desired outcomes.
• Work closely with cross-functional teams to uncover high-impact opportunities, architecting and leading the development of experiments and deploying repeatable and scalable machine learning solutions that drive business impact.
• Take charge of the design and execution of rigorous experiments and hypothesis testing for the advancement of machine learning features.
• Lead the end-to-end design, development, and deployment of machine learning models to support existing as well as new customers.
• Communicate findings and recommendations to both technical and non-technical stakeholders through clear visual presentations.
• Manage the process for monitoring and analyzing performance of machine learning models.
• Act as the mentor for junior data scientists, fostering a culture of excellence and continuous learning.
• Champion the adoption of cutting-edge data science, machine learning, and AI technologies and methodologies, ensuring Urbint remains at the forefront of the industry.

Who You Are

• Over 5-7 years of experience in the end-to-end process for designing, building and deploying machine learning models.
• Advanced degree (PhD preferred) in statistics, mathematics, computer science or another relevant quantitative field
• Exceptional problem solving skills with a strategic focus on product innovation and development.
• Proficient in programming languages such as R or Python with extensive experience using libraries such as pandas, scikit-learn, tensor flow .
• Advanced knowledge of SQL and relational databases for data extraction and manipulation.
• Comprehensive experience using a variety of Machine Learning techniques for Predictive Modeling, Classification, Natural Language Processing (including Large Language Models), Content Recommendation Systems, Time Series Techniques
• Experience with Machine Learning Operations, such as developing self-service tools for data scientists that support feature engineering pipeline, model testing, and deployment, developing distributed training infrastructure, and tools for monitoring models in production.
• Commitment to continuous learning and being up-to-date with the latest developments in Machine Learning
• Strong organizational, time management, and communication skills
• High degree of accountability
• Prior experience in the Utility, Infrastructure or Energy related field experience is highly desirable