Data Scientist, Utility Grid

About Us: Ubicquia revolutionizes critical infrastructure, transforming it into intelligent systems that drive energy efficiency, bolster grid resilience, and streamline operations for utilities and municipalities. Harnessing the power of advanced analytics and AI, Ubicquia processes over 2 billion data points daily, providing insights to optimize the management of streetlights, distribution transformers, and utility poles. Its cutting-edge platforms—featuring sensors, software, and seamless connectivity—are deployed in more than 800 cities and integrated with top-tier manufacturers of streetlights, transformers, and public safety solutions. Ubicquia is headquartered in Florida. Discover more at www.ubicquia.com . Our products need to handle information at massive scale and extend well beyond basic IoT devices. We're looking for engineers and developers who bring fresh ideas from all areas, including information storage/retrieval, distributed computing, large-scale system design, networking and data storage, security, and artificial intelligence. Position Summary: As a Ubicquia employee, you will work on a specific project critical to the company’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our developers to be versatile, display leadership qualities and be enthusiastic to take on new problems across technologies and disciplines as we continue to push technology forward. Ubicquia is looking for a Data Scientist, Utility Grid to work in the Data Team of our Customer Experience and Data Analytics department. This team member’s main tasks involve: Analyzing the data that is created by our electrical grid monitoring sensors to create value-added insights and notifications about the state of our utility partners’ electrical infrastructure. This is a Data as a Service (DaaS) initiative. The data scientist will perform time series analysis, anomaly detection, and analyze oscillography data, to identify root causes and descriptions of power quality events occurring on the electrical grid. The eventual goal is to detect these in real-time and match them to appropriate responses from utility partners. Analyzing cause codes and the output of grid monitoring sensors to predict equipment malfunction, failure and maintenance events before they happen. Proper validation and statistical tests will be required to ensure high precision and recall of any predictive analytic. The data scientist will use utility knowledge of events that affect electrical grid assets and transform these into signatures that identify events in our data. Proper evaluation methods will be used to monitor performance and identify areas of improvement. Python scripts that find these signatures and productionizing them to be included in our Analytics Engine to generate events and reports on a cadence will also be expected. Performing reliability analysis for new field deployments of a particular sensor or existing deployments under new conditions. The data scientist will analyze when and how reliability issues occur and build visualization tools in the form of control charts and reliability graphs on Grafana to monitor ongoing deployments. Responsibilities: Understand business problems and uncover value using data mining techniques Engage with subject matter experts to prioritize and orient data analysis Own machine learning algorithm creation from data cleaning all the way to maintenance of models in production Perform root-cause analysis using data about failures in the field Design experiments to create statistically significant information on business problems Create visualizations to communicate findings effectively internally and externally Qualifications: BSc (MSc preferred) in Statistics, Data Science, Computer Science, Engineering, Mathematics, or equivalent Minimum of 5 years of experience with Python and data science libraries like Numpy, Pandas, Scipy Experience solving real-world utility problems using data analysis Extensive experience with statistical testing of claims, data science frameworks, machine learning algorithms Deep understanding of power grid analysis, oscillography analysis, and machine learning applications related to the electrical grid Experience working with databases (SQL) and cloud computing resources (AWS) Experience with development best practices like version control, documentation, and unit testing Experience working independently and presenting results to both management and technical audiences Excellent oral and written communication skills Collaborative and positive attitude Preferred Qualifications: Reliability testing certifications Interest in IoT devices Database design experience What We Offer: Competitive salary and benefits package Fully covered medical, dental and vision insurance employee premiums Equity Plan Unlimited PTO Rich Total Rewards BENEFITS package Life Insurance, LTD STD Supplementary Insurance Flexible Spending Account (FSA) and Dependent Care Account (DCA) 401(k) Retirement Plan Other excellent benefits Opportunities for professional growth and development Collaborative and supportive work environment The chance to work on exciting and challenging projects Ubicquia is an Equal Employment employer committed to the principles of equal employment opportunity and affirmative action for all applicants and employees. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status or any other basis protected by federal, state or local law, ordinance or regulation. Ubicquia also makes reasonable accommodations for disabled employees consistent with applicable law. No external recruiters will be considered.