Data Scientist

Field sales powers the economy — but most teams are struggling. Reps are buried in admin work, managers are stretched thin, and leaders can’t see what’s really happening in the field.
Siro is redefining how field sales teams learn, perform, and win.
We started as an AI-powered coaching platform that helped reps improve their outcomes in the field.
Today, we’re something much bigger — an intelligent companion that automates sales reps’ tedious admin work, gives managers real-time visibility, and helps executives see around corners.
Our platform integrates with systems like Salesforce, analyzing thousands of in-person sales conversations to surface insights, automate workflows, and drive better outcomes across the org. Think
*Iron Man’s*
Jarvis for sales — proactive, personalized, and built directly into the tools teams already use.
Siro has raised $75M and is backed by world-class investors like Index, Fika, CRV, and SignalFire. We are trusted by leading home-improvement, retail, hospitality, and automotive brands, and powered by a lean team from Meta, McKinsey, Doordash, and Uber.
We’re building the future of human-AI collaboration in sales — and we’re just getting started.
About The Role
We're looking for a pioneering Data Scientist to help own the analytics and data layer across the company.
You'll work across the full spectrum defining metrics, building dashboards, designing experiments, developing LLM-powered extraction pipelines, and presenting findings directly to customers. This isn't a role where you'll inherit a mature data stack and optimize at the margins. You'll be shaping how Siro understands its own product, how customers understand their sales teams, and how our AI features get measured and improved.
As part of a small data team, you'll have real ownership over what you build and genuine influence over what gets built next. The role spans business intelligence, applied AI, and customer-facing analysis often in the same week.
What you’ll do
AI Feature Development & Evaluation

• Prototype and design new AI-powered features from initial concept through prompt engineering, pipeline architecture, and validation bridging the gap between what's possible with LLMs and what's useful for customers
• Develop evaluation frameworks to measure the quality and reliability of Siro's AI features extraction accuracy, agentic workflow performance, and answer quality
• Design and maintain benchmarks that track AI performance over time, catching regressions before customers do
• Partner with Engineering to translate evaluation results into concrete improvements, closing the loop between measurement and product quality

Product Analytics & Business Intelligence

• Define and standardize key product metrics adoption, engagement, reliability ensuring numbers mean the same thing regardless of who's looking or where they're looking
• Build and maintain dashboards for both internal teams (Product, Sales, Customer Success) and external customers, covering usage patterns, feature adoption, and product health
• Design data models and enablement tooling that let non-technical stakeholders self-serve, and build custom reports and analyses when they can't
• Own data quality and serve as the internal authority on Siro's data establish standards and monitoring, work with Engineering to fix issues at the source, and be the person teams come to when they need to understand what the numbers actually say

Customer Insights & Experimentation

• Combine traditional quantitative methods with LLM-based analysis across structured and unstructured data to surface actionable insights for customer organizations what's working in their sales process, what isn't, and where the biggest opportunities are
• Design experimental frameworks and ROI analyses for pilot customers, balancing statistical rigor with business pragmatism to prove Siro's impact
• Develop novel extraction and analysis pipelines that deepen what Siro can learn from conversation data, making our insights more differentiated and our dataset more competitively valuable

Qualifications

• 2+ years of experience in data science, analytics, ML/AI, or related field
• Strong foundation in statistics and experimental design
• Strong SQL and Python skills, including experience building and maintaining data pipelines
• Experience with BI tooling and dashboard development
• Experience working with structured and unstructured data
• Comfort communicating data to non-technical and external audiences
• Experience working with LLMs beyond surface-level usage — prompt engineering, building with LLM APIs, or evaluating model outputs

Our Tech Stack
Core Tools

• Data Infrastructure: BigQuery, PostgreSQL, GCP
• BI & Analytics: Mixpanel, Sigma (or similar BI tool experience with embedded analytics is a plus)
• Languages: Python, SQL
• AI Tooling: LangChain, Google ADK
• Data Science & ML: pandas, scikit-learn, scipy, matplotlib/seaborn
• Version Control: Git

Nice to Have

• Experience with Node.js/TypeScript
• Background in conversation AI or natural language processing

Who You Are

• Comfortable with broad ownership — you'd rather own a problem end-to-end than specialize in one narrow slice
• Equally at ease writing SQL, designing an experiment, and presenting findings to a customer's VP of Sales
• Opinionated about data quality but pragmatic about what "good enough" looks like when speed matters
• Genuinely curious about sales as a domain, not just data as a discipline
• Self-directed learner who stays close to the cutting edge of AI

*At Siro, we are committed to creating a diverse and inclusive environment where all people feel that they are equally respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.*