Job Description
About SewerAI Corporation
SewerAI is transforming underground infrastructure management through AI-powered inspection and risk analysis. Our platform helps contractors, engineering firms, and utilities unlock valuable insights from sewer inspection data—turning hours of manual video review into actionable intelligence in minutes. After doubling our customer base over the past year, we’re now entering an exciting phase of accelerated growth.
About the Role
We're looking for a Senior Data Scientist to join our AI team and work on applied machine learning for sewer infrastructure. In this role, you'll develop anomaly detection systems, time series forecasting models, and predictive analytics that help utilities anticipate and prevent infrastructure failures.
You'll work closely with our engineering and data teams to build ML systems that analyze sensor data, detect anomalies, and deliver actionable insights to our customers.
What You'll Work On
Anomaly Detection — Develop models to identify unusual patterns and potential issues in sewer infrastructure data
Time Series Forecasting — Build predictive models for maintenance scheduling and infrastructure health predictions
ML Model Development — Design, train, and iterate on ML models for sewer-specific applications
Data Analysis & Pipelines — Build pipelines for processing and analyzing infrastructure data at scale
Dashboards & Reporting — Create visualizations and reports in Hex to surface insights for stakeholders
Required Technical Skills
Python — Deep experience with pandas, scikit-learn, and statistical analysis
Deep Learning Frameworks — PyTorch or TensorFlow for advanced modeling
SQL — Complex queries, window functions, analytical queries
Time Series Analysis — Forecasting techniques, trend analysis, seasonality handling, signal processing
Anomaly Detection — Statistical and ML-based anomaly detection techniques
Data Stack — Hex, dbt, ClickHouse
Nice-to-Have Skills
Infrastructure or IoT domain experience
Sewer/Water industry experience or knowledge
Sensor data analysis
MLOps experience (model deployment, monitoring)
Cloud platforms (AWS)
What We're Looking For
4-6 years of applied machine learning experience
Strong statistical and ML fundamentals
Experience with time series analysis or anomaly detection
Knowledge of Bayesian statistics and/or Bayesian optimization
Experience creating and applying custom metrics to complex datasets and problems
Collaborative mindset — you enjoy working across teams
Clear communicator — you can explain complex ML concepts to non-technical stakeholders
What You'll Gain
Impact — Your models directly improve infrastructure maintenance for cities and utilities
Modern Stack — Work with a modern data and ML stack (Hex, dbt, ClickHouse, PyTorch)
Growth — Expand your skills across applied ML in a high-impact domain
Ownership — Shape the direction of our predictive analytics capabilities as we scale
Compensation: $150,000-$180,000
Benefits include:
Medical, Dental, Vision, Basic Life, 401(k), and more
Unlimited PTO
Tools you need to get the job done
Competitive salary and potential equity-based remuneration
Why Join SewerAI?
Join the fastest-growing team in wastewater tech and help modernize critical infrastructure with AI. You’ll own high-visibility projects, influence how our brand meets the market, and see your
SewerAI is transforming underground infrastructure management through AI-powered inspection and risk analysis. Our platform helps contractors, engineering firms, and utilities unlock valuable insights from sewer inspection data—turning hours of manual video review into actionable intelligence in minutes. After doubling our customer base over the past year, we’re now entering an exciting phase of accelerated growth.
About the Role
We're looking for a Senior Data Scientist to join our AI team and work on applied machine learning for sewer infrastructure. In this role, you'll develop anomaly detection systems, time series forecasting models, and predictive analytics that help utilities anticipate and prevent infrastructure failures.
You'll work closely with our engineering and data teams to build ML systems that analyze sensor data, detect anomalies, and deliver actionable insights to our customers.
What You'll Work On
Anomaly Detection — Develop models to identify unusual patterns and potential issues in sewer infrastructure data
Time Series Forecasting — Build predictive models for maintenance scheduling and infrastructure health predictions
ML Model Development — Design, train, and iterate on ML models for sewer-specific applications
Data Analysis & Pipelines — Build pipelines for processing and analyzing infrastructure data at scale
Dashboards & Reporting — Create visualizations and reports in Hex to surface insights for stakeholders
Required Technical Skills
Python — Deep experience with pandas, scikit-learn, and statistical analysis
Deep Learning Frameworks — PyTorch or TensorFlow for advanced modeling
SQL — Complex queries, window functions, analytical queries
Time Series Analysis — Forecasting techniques, trend analysis, seasonality handling, signal processing
Anomaly Detection — Statistical and ML-based anomaly detection techniques
Data Stack — Hex, dbt, ClickHouse
Nice-to-Have Skills
Infrastructure or IoT domain experience
Sewer/Water industry experience or knowledge
Sensor data analysis
MLOps experience (model deployment, monitoring)
Cloud platforms (AWS)
What We're Looking For
4-6 years of applied machine learning experience
Strong statistical and ML fundamentals
Experience with time series analysis or anomaly detection
Knowledge of Bayesian statistics and/or Bayesian optimization
Experience creating and applying custom metrics to complex datasets and problems
Collaborative mindset — you enjoy working across teams
Clear communicator — you can explain complex ML concepts to non-technical stakeholders
What You'll Gain
Impact — Your models directly improve infrastructure maintenance for cities and utilities
Modern Stack — Work with a modern data and ML stack (Hex, dbt, ClickHouse, PyTorch)
Growth — Expand your skills across applied ML in a high-impact domain
Ownership — Shape the direction of our predictive analytics capabilities as we scale
Compensation: $150,000-$180,000
Benefits include:
Medical, Dental, Vision, Basic Life, 401(k), and more
Unlimited PTO
Tools you need to get the job done
Competitive salary and potential equity-based remuneration
Why Join SewerAI?
Join the fastest-growing team in wastewater tech and help modernize critical infrastructure with AI. You’ll own high-visibility projects, influence how our brand meets the market, and see your
💡 Quick Summary
Seeking a career-building opportunity? The Senior Data Scientist (AI) position is now open for candidates interested in the Work from home Jobs sector. This role in Baker offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Work from home Jobs is a plus.