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 building something much bigger — an intelligent sales companion that automates reps’ tedious admin work, gives managers real-time visibility, and helps executives see around corners.

Our platform integrates deeply 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 is backed by world-class investors like Index, Fika, CRV, and SignalFire, trusted by leading home-improvement, retail, 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.

We're looking for a pioneering Data Scientist. 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.

• Partner with multiple functions to understand customer behavior, visualize usage trends, and identify opportunities

• Develop and optimize product analytics infrastructure and dashboards for internal and external stakeholders

• Contribute to weekly and quarterly business reviews for strategic accounts

• Explore customer sales conversation data to extract insights via LLM-based and traditional analysis methods

• Communicate ad hoc insights to external customers

• Implement LLM evaluations

• Own data quality in our databases

• Establish data quality standards and monitoring

• Identify improvements needed and work with Engineering to implement

• Adoption rate of data products, internal and customer-facing

• Impact on product development velocity and decision quality

• Quality and reliability of AI-powered insights

• % of product decisions backed by quantitative data

• 3-5 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

• Strong problem-solving skills with a business-focused approach

• Excellent communication skills

• Familiarity with LLMs

• Data Infrastructure: Google Cloud Platform (GCP), BigQuery, Postgres

• BI/Analytics: Mixpanel, Explo

• Languages: Python, SQL

• Version Control: Git

• LLM Frameworks: Anthropic, OpenAI, Google LangChain

• Data Science & ML Libraries: pandas, scikit-learn

• NLP Tools: Hugging Face

• Experience with Node.js/TypeScript

• Background in conversation AI or natural language processing

• 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.