Data Scientist Sales
SewerAI
Job Overview
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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 Data Scientist Sales to join our Data organization and drive data-driven decision making across the business. In this role, you'll combine sales analytics, customer insights, and business intelligence to help SewerAI scale effectively.
You'll work closely with sales leadership, revenue operations, and cross-functional teams to build forecasting models, analyze customer behavior, and optimize our go-to-market strategy—all powered by SewerAI's modern data infrastructure.
What You'll Work On
- Sales Forecasting & Pipeline Analytics — Build and maintain predictive models for revenue forecasting, pipeline health, and deal velocity
- Customer Segmentation & Churn Prediction — Develop models to identify high-value customer segments and predict at-risk accounts
- Pricing Optimization & Market Analysis — Analyze pricing effectiveness, competitive positioning, and market opportunities
- Dashboards & Reporting — Create interactive dashboards and reports in Hex to democratize data access across the sales org
- Data Pipeline Development — Build and maintain data pipelines to ensure clean, reliable data for analysis
Required Technical Skills
- Python — pandas, scikit-learn, statistical analysis, data manipulation
- SQL — Complex queries, window functions, CTEs, query optimization
- OLAP Database Experience — Familiarity with analytical databases
- dbt — Data transformations and modeling
- Data Visualization — Building clear, actionable visualizations for stakeholders
Nice-to-Have Skills
- Hex (our primary analysis and reporting tool)
- ClickHouse experience
- ML/predictive modeling experience (time series, classification, regression)
- Cloud platforms (AWS)
- Domain knowledge in sales/SaaS metrics (ARR, churn, LTV, CAC)
- Experience with CRM data (Salesforce, HubSpot)
What We're Looking For
- 4-6 years of data science or analytics experience
- Strong communication skills — you can translate technical findings into business recommendations
- Business acumen and strategic thinking — you understand how data drives revenue
- Self-starter mentality — comfortable operating independently and prioritizing your own work
- Collaborative approach — you enjoy working with stakeholders across the organization
What You'll Gain
- Impact — Direct influence on company growth through data-driven decisions
- Modern Stack — Work with best-in-class data tools (Hex, dbt, ClickHouse)
- Growth — Opportunities to expand your scope and leadership as we scale
- Ownership — Build the sales analytics function from the ground up
Compensation & Benefits
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 work drive measurable impact for customers and communities.
Key skills/competency
- Sales Analytics
- Customer Insights
- Predictive Modeling
- Data Visualization
- Python
- SQL
- dbt
- OLAP Databases
- Business Acumen
- Go-to-Market Strategy
How to Get Hired at SewerAI
- Research SewerAI's vision: Understand their mission in transforming infrastructure management with AI and how data science contributes.
- Tailor your resume: Highlight experience in sales analytics, predictive modeling, and business intelligence relevant to a Data Scientist Sales role.
- Showcase technical expertise: Emphasize proficiency in Python, SQL, dbt, and data visualization tools, providing specific project examples.
- Demonstrate business acumen: Prepare to discuss how your analytical insights directly led to revenue growth or strategic business decisions.
- Network effectively: Connect with current SewerAI employees on LinkedIn to gain insights into company culture and data team dynamics.
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