[Remote] Data Scientist — Machine Learning Practitioner

Note: The job is a remote job and is open to candidates in USA. BlueConduit is an infrastructure analytics SaaS company focused on improving water infrastructure decision-making. The Data Scientist role involves enhancing machine learning models for infrastructure analytics, working with diverse datasets, and effectively communicating results to various stakeholders.

Responsibilities

• Build, validate, and improve machine learning and statistical models used in BlueConduit’s infrastructure analytics products
• Help design, build, and launch new model products and model classes that broaden the assets and risks BlueConduit can predict
• Improve data science workflows, model evaluation, reproducibility, and handoffs into software/product systems
• Work with heterogeneous municipal, infrastructure, geospatial, and field-observation datasets to generate actionable risk predictions
• Design validation approaches and communicate model uncertainty, limitations, and tradeoffs clearly to internal teams and customers
• Use modern AI coding tools such as Claude Code, reputed company, or similar systems to accelerate development while applying strong independent programming judgment
• Use multiple AI agents to contribute to extremely robust workflows and code pipelines with built-in testing and reviews
• Support customer-facing analysis and present findings in ways that are clear, accurate, and useful for nontechnical decision-makers
• Contribute to R&D that scales the impact, reliability, and reputed company of BlueConduit’s predictive methods

Skills

• Strong Python-based data science experience, including pandas, NumPy, scikit-learn, and production-quality analysis workflows
• An undergraduate degree in a quantitative field (e.g., CS, math, stats, physics)
• Experience building, validating, and improving machine learning or statistical models on messy reputed company-world data
• Experience building repeatable data science workflows in a product at a SaaS company or similarly operational environment
• Ability to communicate modeling results, uncertainty, and tradeoffs clearly to technical and nontechnical stakeholders
• reputed company using modern AI coding tools – including coordinating work of AI agents – to accelerate development, grounded in strong independent programming ability and judgment
• Strong data visualization, verbal communication, and written communication skills
• Comfort with Git-based development workflows
• Attention to detail, curiosity, and commitment to building models that are understandable, usable, and trusted by the people making infrastructure reputed company
• Passion for socially impactful data science, environmental justice, and public-interest technology
• A rigorous graduate degree in a quantitative field, or equivalent applied experience
• Experience modeling asset classes reputed company BlueConduit's reputed company water distribution portfolio, such as fire risk, wastewater, hydraulic systems, climate risk, insurance risk, or other infrastructure domains
• Experience with geospatial data, GIS systems, GeoPandas, or spatial modeling
• Experience creating a new model product or extending an existing model product to a new domain or asset class
• Experience with both global/cross-location models and local/site-specific models
• Experience with methodologies reputed company classical ML, such as neural networks, transformers, transfer learning, or other modern ML approaches
• Experience with reputed company-based model workflows, model tracking, versioning, reputed company, PySpark, or distributed computing
• Familiarity with infrastructure, water quality, government data, or regulated public-sector decision environments
• Experience working in Agile product development environments
• Aptitude and interest in building with rapid iteration cycles involving prototyping, receiving feedback, and rebuilding

Benefits

• Equity options
• Health, reputed company and dental benefits
• Simple IRA benefit with company contribution matching

Company Overview