Data ScientistBlueConduit is an infrastructure analytics SaaS company and social enterprise helping communities make better, faster, and more equitable decisions about critical water infrastructure. Our founding team pioneered predictive modeling for lead service line replacement in Flint, Michigan, and BlueConduit now works with hundreds of cities and utilities across North America.Our platform helps utilities, municipalities, government agencies, and consultants combine fragmented infrastructure records, field observations, geospatial data, and predictive models to identify risk, prioritize work, meet compliance requirements, and communicate clearly with the public. We are a remote-first team committed to using data science for social good and building tools that are trusted by the people making high-stakes infrastructure decisions.The RoleBlueConduit is hiring a Data Scientist to improve and expand the machine learning models at the core of our infrastructure analytics platform.
In this role, you will work on models that help cities prioritize infrastructure investments, reduce risk, and improve drinking water outcomes. You will strengthen our existing modeling workflows, help launch new model products and asset classes, and communicate results clearly to both technical and nontechnical audiences.This is a strong fit for someone who combines rigorous applied ML judgment with product-minded execution: you enjoy messy real-world data, care about model validation and uncertainty, can build repeatable workflows rather than one-off analyses, and like explaining technical work to people who need to act on it.In this role you will be expected to be using the latest available AI tools to code productively. You will need to understand what you're building and coding, and understand agentic AI workflows that involve best practices, including unit tests, built-in code reviews, and extensive documentation in your commits for fellow data scientists and software engineers.This role reports to the VP of Data Science.What You'll DoBuild, validate, and improve machine learning and statistical models used in BlueConduit's infrastructure analytics productsHelp design, build, and launch new model products and model classes that broaden the assets and risks BlueConduit can predictImprove data science workflows, model evaluation, reproducibility, and handoffs into software/product systemsWork with heterogeneous municipal, infrastructure, geospatial, and field-observation datasets to generate actionable risk predictionsDesign validation approaches and communicate model uncertainty, limitations, and tradeoffs clearly to internal teams and customersUse modern AI coding tools such as Claude Code, Codex, or similar systems to accelerate development while applying strong independent programming judgmentUse multiple AI agents to contribute to extremely robust workflows and code pipelines with built-in testing and reviewsSupport customer-facing analysis and present findings in ways that are clear, accurate, and useful for nontechnical decision-makersContribute to R&D that scales the impact, reliability, and reach of BlueConduit's predictive methodsBlueConduit is a small, remote, and growing team, so this is an opportunity to shape both the role and the next generation of our data science products.What We're Looking ForStrong Python-based data science experience, including pandas, NumPy, scikit-learn, and production-quality analysis workflowsAn undergraduate degree in a quantitative field (e.g., CS, math, stats, physics)Experience building, validating, and improving machine learning or statistical models on messy real-world dataExperience building repeatable data science workflows in a product at a SaaS company or similarly operational environmentAbility to communicate modeling results, uncertainty, and tradeoffs clearly to technical and nontechnical stakeholdersFluency using modern AI coding tools – including coordinating work of AI agents – to accelerate development, grounded in strong independent programming ability and judgmentStrong data visualization, verbal communication, and written communication skillsComfort with Git-based development workflowsAttention to detail, curiosity, and commitment to building models that are understandable, usable, and trusted by the people making infrastructure decisionsPassion for socially impactful data science, environmental justice, and public-interest technologyWe're Especially Interested In Candidates With One Or More Of The FollowingA rigorous graduate degree in a quantitative field, or equivalent applied experienceExperience modeling asset classes beyond BlueConduit's current water distribution portfolio, such as fire risk, wastewater, hydraulic systems, climate risk, insurance risk, or other infrastructure domainsExperience with geospatial data, GIS systems, GeoPandas, or spatial modelingExperience creating a new model product or extending an existing model product to a new domain or asset classExperience with both global/cross-location models and local/site-specific modelsExperience with methodologies beyond classical ML, such as neural networks, transformers, transfer learning, or other modern ML approachesExperience with cloud-based model workflows, model tracking, versioning, Databricks, PySpark, or distributed computingFamiliarity with infrastructure, water quality, government data, or regulated public-sector decision environmentsExperience working in Agile product development environmentsAptitude and interest in building with rapid iteration cycles involving prototyping, receiving feedback, and rebuildingLocationRemoteCompensationExpected salary range: $140,000–$150,000, commensurate with experienceEquity optionsHealth, vision and dental benefitsSimple IRA benefit with company contribution matching