ML Ops Data Scientist

Job not on LinkedIn

October 7

🚗 Michigan – Remote

Although this job is listed in Michigan, this company may be open to hiring remote in other states.

💵 $125k - $145k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

Apply Now

Receive Emails with Similar Jobs

BlueConduit

WebsiteLinkedInAll Job Openings

Artificial Intelligence • Government • AR/VR

BlueConduit is a leader in delivering predictive and decision modeling tools for water system management. Their AI-driven models empower water system leaders to make informed decisions, optimizing cost-efficiency and public health outcomes by predicting high-risk lead service lines and assessing water main conditions. By providing customized statistical models, BlueConduit helps utilities ensure compliance efficiency, prevent service disruptions, and enhance the reliability of water infrastructure. Their solutions are deeply integrated with Esri ArcGIS software, ensuring seamless mapping and regulatory compliance. BlueConduit is trusted by communities across the U. S. for their expertise in protecting water resources and improving water quality.

11 - 50 employees

🤖 Artificial Intelligence

🏛️ Government

🥽 AR/VR

📋 Description

• Build in more automated processes with latest AI tools to improve machine learning models performance and efficiency of cloud-based data pipelines • Work closely with Software Engineering and Product to seamlessly integrate data science code into the production code of our software. • Actively engage in R&D to continually scale the impact of BlueConduit’s predictive methods • Use machine learning pipelines and other internal tools to provide risk predictions for water distribution assets • Support non-technical clients with data analysis and clear communication of model results on tight timelines

🎯 Requirements

• Curiosity to learn and commitment to the human side of data science • Passion for data science for social good and environmental justice • Independent problem-solving • Excellent verbal and written communication skills • Undergraduate degree in quantitative field (e.g., CS, math, stats, physics, etc.) • Substantial experience with Python, especially pandas, Scikit-learn, PySpark, and numpy • Extensive experience (~5+ years) with machine learning and statistical models, including validation and evaluation of model performance • Machine Learning Operations (MLOps) experience • Experience building production code based on solid data science work • Experience building and improving machine learning models and data pipelines • Experience using latest AI tools for implementing ML/ DS work in production software • Experience deploying, monitoring, and maintaining machine learning models in production environments • Experience building production-level ML pipelines using PySpark (or Spark in Scala) • Experience with issues related to modeling (e.g., selection biases, causal inference) • Experience working with messy data, iterating with clients on a shared dataset • Ability to build and maintain strong documentation habits • Proficiency with Git workflow • Experience building models and pipelines in Databricks

🏖️ Benefits

• Stock options • Health benefits (100% coverage of medical premiums for a base plan or a portion of a premium plan; Vision and Dental also available) • Simple IRA benefit (3% company contribution matching)