Data Scientist, Innovation

Lead Data Scientist, InnovationJob Location: Santa Clara, CA (preferred) or Remote- US-basedJob Term: Full-TimeThe OpportunityPicarro is transforming gas utility operations with innovative solutions for methane emissions management, risk-informed leak management, and network intelligence. As the Lead Data Scientist on the Innovation Team, you will be responsible for developing analytical prototypes and models that shape product capabilities and customer solutions. You will lead the innovation process for Picarro's natural gas business Unit, coordaining across product, engineering, analytics, and business teams to manage a portfolio of innovation addition to your technical contribution, you will play a key role in mentoring data scientists and analysts. You will support their growth through coaching, design reviews, and technical leadership while establishing strong analytical standards.What You'll DoCoordinate innovation activities across the natural gas business unit, working closely with technical and business stakeholders.Build cloud-native analytical workflows applying scientific sensor data and geospatial context to emissions and network analytics use casesDesign scalable data processing and modeling infrastructure to support prototyping and solution development, with a clear path to productionApply statistical techniques such as Bayesian inference to quantify uncertainty and improve interpretability of resultsProvide technical leadership across innovation and analytics projects, setting standards for methodology and implementationMentor data scientists and data analysts, supporting skill development, code quality, and collaborative problem solvingWhat You Bring7+ years of experience in applied data science or environmental analyticsStrong foundation in statistical modeling, Bayesian methods, and uncertainty quantificationHands-on experience using time-series and geospatial dataProficiency in Python and SQL, with experience using AWS, common data science and statistical libraries, and workflow orchestration toolsDemonstrated ability to align technical work with business needs and coordinate across product and engineering teamsStrong communication and mentorship skills, with experience guiding the work of data scientists and analystsAdvanced degree (PhD or Master's) in Statistics, Environmental Science, Physics, Engineering, or a related field, or equivalent applied experienceOur total compensation packages include base salary, bonus eligibility, and equity. Salary range $150,000 to $195,000The company reserves the right to require random drug testing for all applicable positions. #J-18808-Ljbffr

Created: 2025-09-17