Senior Data Scientist

Siro is the intelligence platform for in-person sales. We record, transcribe, and analyze the millions of in-person conversations happening every day - a dataset never before captured - to help sales people.

You may be surprised to learn that of the millions of sales professionals in the U.S., the majority work in-person, face-to-face. Think of HVAC contractors, medical device salespeople, or real-estate agents. And while top-performers can out-earn surgeons, most do not reach their potential because it is almost impossible to get on-the-job coaching when you're alone in the field.

Siro gives sales reps data-driven coaching, actionable insights, and peer-to-peer learnings. Soon Siro's intelligence platform will power business use cases across strategy, marketing, customer success, and more. Our technology can serve any scenario where front-line, face-to-face conversations drive business outcomes.

With a $5B+ TAM and over $25M in backing from world-class investors, we're on a mission to make field sales the most accessible path to financial freedom.

Our product is already making waves - with 4.8 stars on the App Store (700+ ratings), 5.0 stars on G2 (25 reviews), and partnerships with industry leaders like ServiceTitan (NASDAQ: TTAN).
About the Role

We're looking for a pioneering Senior Data Scientist to drive our AI and data-initiatives. This role combines classical data science with cutting-edge LLM applications, sitting at the intersection of business intelligence, experimentation, and AI-powered product features.

This role will build the data foundation that empowers Siro teams to make confident decisions - from Product launching AI-powered features, to Sales identifying winning patterns, to Customer Success driving adoption. Your work will unlock insights that directly accelerate growth and shape our product strategy.

If you're excited about turning raw data into actionable insights and shaping the future of a high-growth AI-first company, this is the role for you.
What you'll do

Note: we're open to applicants who have depth in two of these areas, if not all three.
Data Strategy & Infrastructure

• Define and implement company-wide data strategy in partnership with engineering
• Establish data governance frameworks and quality standards
• Create documentation and best practices for data access and usage

Business Intelligence & Analytics

• Partner with multiple functions to understand customer behavior, visualize usage trends, and highlight opportunities for increased value.
• Develop and optimize core analytics infrastructure and dashboards
• Build and maintain critical reporting tools for internal and external stakeholders
• Design and analyze A/B experiments to evaluate product features
• Create predictive models to identify high-potential customers and opportunities

LLM & AI Applications

• Leverage conversation data to build AI-powered coaching and insight features
• Explore and deploy new technology including LLMs to provide analysis of sales conversations
• Create frameworks for evaluating and improving genAI tools and LLM model performance
• Partner with engineers to build a proprietary intelligence engine that delivers actionable sales insights from unstructured conversation data

Success Metrics

• Adoption rate of data products (internal and customer-facing)
• Impact on product development velocity and decision quality
• Quality and reliability of AI-powered insights
• Team satisfaction with data access and tools
• % of product decisions backed by quantitative data

Qualifications

• 4-8 years of experience in data science, ML/AI, or related field
• Strong foundation in statistics and experimental design
• Expertise in Python, SQL, and data pipeline development
• Experience with business intelligence and visualization tools (e.g., Looker, Metabase, Tableau)
• Experience working with structured and unstructured data in production environments
• Strong problem-solving skills with a business-focused approach
• Familiarity with LLM-driven insights

Our Tech Stack
Core Tools

• BI/Analytics: Mixpanel, Looker Studio
• Data Infrastructure: Google Cloud Platform (GCP), BigQuery
• Languages: Python, SQL
• Version Control: Git

AI/ML Stack

• LLM Frameworks: Anthropic, OpenAI, LangChain
• Data Science & ML Libraries: pandas, scikit-learn
• NLP Tools: Hugging Face

Nice to Have

• Experience with Node.js/TypeScript
• Background in conversation AI or speech recognition

Who You Are

• Product-minded data scientist who balances rigorous analysis with practical impact
• Strong communicator who can translate complex concepts for various audiences
• Self-directed learner excited about emerging AI technologies
• Collaborative team player who thrives in a fast-paced environment
• Passionate about using data to improve human performance and outcomes

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.