{"schemaVersion":"jobsearcher.job.v1","id":"f3c0223fa015dc8f7e58ed03","url":"https://jobsearcher.com/jobs/f3c0223fa015dc8f7e58ed03","canonicalUrl":"https://jobsearcher.com/jobs/f3c0223fa015dc8f7e58ed03","title":"Data Scientist — Machine Learning Practitioner","description":"Company overview\nBlueConduit 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.\nOur 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.\nThe role\nBlueConduit 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.\nThis 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.\nIn 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.\nThis role reports to the VP of Data Science.\nWhat you'll do\nBuild, validate, and improve machine learning and statistical models used in BlueConduit's infrastructure analytics products\nHelp design, build, and launch new model products and model classes that broaden the assets and risks BlueConduit can predict\nImprove data science workflows, model evaluation, reproducibility, and handoffs into software/product systems\nWork with heterogeneous municipal, infrastructure, geospatial, and field-observation datasets to generate actionable risk predictions\nDesign validation approaches and communicate model uncertainty, limitations, and tradeoffs clearly to internal teams and customers\nUse modern AI coding tools such as Claude Code, Codex, or similar systems to accelerate development while applying strong independent programming judgment\nUse multiple AI agents to contribute to extremely robust workflows and code pipelines with built-in testing and reviews\nSupport customer-facing analysis and present findings in ways that are clear, accurate, and useful for nontechnical decision-makers\nContribute to R&D that scales the impact, reliability, and reach of BlueConduit's predictive methods\nBlueConduit 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.\nWhat we're looking for\nStrong Python-based data science experience, including pandas, NumPy, scikit-learn, and production-quality analysis workflows\nAn undergraduate degree in a quantitative field (e.g., CS, math, stats, physics)\nExperience building, validating, and improving machine learning or statistical models on messy real-world data\nExperience building repeatable data science workflows in a product at a SaaS company or similarly operational environment\nAbility to communicate modeling results, uncertainty, and tradeoffs clearly to technical and nontechnical stakeholders\nFluency using modern AI coding tools – including coordinating work of AI agents – to accelerate development, grounded in strong independent programming ability and judgment\nStrong data visualization, verbal communication, and written communication skills\nComfort with Git-based development workflows\nAttention to detail, curiosity, and commitment to building models that are understandable, usable, and trusted by the people making infrastructure decisions\nPassion for socially impactful data science, environmental justice, and public-interest technology\nWe're especially interested in candidates with one or more of the following\nA rigorous graduate degree in a quantitative field, or equivalent applied experience\nExperience modeling asset classes beyond BlueConduit's current water distribution portfolio, such as fire risk, wastewater, hydraulic systems, climate risk, insurance risk, or other infrastructure domains\nExperience with geospatial data, GIS systems, GeoPandas, or spatial modeling\nExperience creating a new model product or extending an existing model product to a new domain or asset class\nExperience with both global/cross-location models and local/site-specific models\nExperience with methodologies beyond classical ML, such as neural networks, transformers, transfer learning, or other modern ML approaches\nExperience with cloud-based model workflows, model tracking, versioning, Databricks, PySpark, or distributed computing\nFamiliarity with infrastructure, water quality, government data, or regulated public-sector decision environments\nExperience working in Agile product development environments\nAptitude and interest in building with rapid iteration cycles involving prototyping, receiving feedback, and rebuilding\nLocation\nRemote\nCompensation\nExpected salary range: $140,000–$150,000, commensurate with experience\nEquity options\nHealth, vision and dental benefits\nSimple IRA benefit with company contribution matching\nEvery qualified applicant will receive consideration for employment without regard to race, age, color, religion, sex, sexual orientation, or national origin.","company":"Blueconduit","rawCompany":"blueconduit","city":"Ann Arbor","state":"MI","isRemote":false,"isActive":false,"createdAt":"2026-08-03T14:51:01.150Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Scientist — Machine Learning Practitioner","description":"Company overview\nBlueConduit 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.\nOur 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.\nThe role\nBlueConduit 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.\nThis 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.\nIn 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.\nThis role reports to the VP of Data Science.\nWhat you'll do\nBuild, validate, and improve machine learning and statistical models used in BlueConduit's infrastructure analytics products\nHelp design, build, and launch new model products and model classes that broaden the assets and risks BlueConduit can predict\nImprove data science workflows, model evaluation, reproducibility, and handoffs into software/product systems\nWork with heterogeneous municipal, infrastructure, geospatial, and field-observation datasets to generate actionable risk predictions\nDesign validation approaches and communicate model uncertainty, limitations, and tradeoffs clearly to internal teams and customers\nUse modern AI coding tools such as Claude Code, Codex, or similar systems to accelerate development while applying strong independent programming judgment\nUse multiple AI agents to contribute to extremely robust workflows and code pipelines with built-in testing and reviews\nSupport customer-facing analysis and present findings in ways that are clear, accurate, and useful for nontechnical decision-makers\nContribute to R&D that scales the impact, reliability, and reach of BlueConduit's predictive methods\nBlueConduit 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.\nWhat we're looking for\nStrong Python-based data science experience, including pandas, NumPy, scikit-learn, and production-quality analysis workflows\nAn undergraduate degree in a quantitative field (e.g., CS, math, stats, physics)\nExperience building, validating, and improving machine learning or statistical models on messy real-world data\nExperience building repeatable data science workflows in a product at a SaaS company or similarly operational environment\nAbility to communicate modeling results, uncertainty, and tradeoffs clearly to technical and nontechnical stakeholders\nFluency using modern AI coding tools – including coordinating work of AI agents – to accelerate development, grounded in strong independent programming ability and judgment\nStrong data visualization, verbal communication, and written communication skills\nComfort with Git-based development workflows\nAttention to detail, curiosity, and commitment to building models that are understandable, usable, and trusted by the people making infrastructure decisions\nPassion for socially impactful data science, environmental justice, and public-interest technology\nWe're especially interested in candidates with one or more of the following\nA rigorous graduate degree in a quantitative field, or equivalent applied experience\nExperience modeling asset classes beyond BlueConduit's current water distribution portfolio, such as fire risk, wastewater, hydraulic systems, climate risk, insurance risk, or other infrastructure domains\nExperience with geospatial data, GIS systems, GeoPandas, or spatial modeling\nExperience creating a new model product or extending an existing model product to a new domain or asset class\nExperience with both global/cross-location models and local/site-specific models\nExperience with methodologies beyond classical ML, such as neural networks, transformers, transfer learning, or other modern ML approaches\nExperience with cloud-based model workflows, model tracking, versioning, Databricks, PySpark, or distributed computing\nFamiliarity with infrastructure, water quality, government data, or regulated public-sector decision environments\nExperience working in Agile product development environments\nAptitude and interest in building with rapid iteration cycles involving prototyping, receiving feedback, and rebuilding\nLocation\nRemote\nCompensation\nExpected salary range: $140,000–$150,000, commensurate with experience\nEquity options\nHealth, vision and dental benefits\nSimple IRA benefit with company contribution matching\nEvery qualified applicant will receive consideration for employment without regard to race, age, color, religion, sex, sexual orientation, or national origin.","datePosted":"2026-08-03T14:51:01.150Z","dateModified":"2026-08-03T14:51:01.150Z","hiringOrganization":{"@type":"Organization","name":"Blueconduit","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Ann Arbor","addressRegion":"MI","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"f3c0223fa015dc8f7e58ed03"},"url":"https://jobsearcher.com/jobs/f3c0223fa015dc8f7e58ed03"}}