Salary
💰 $190,000 - $220,000 per year
Tech Stack
BigQueryCloudGoogle Cloud PlatformJavaScriptNode.jsPandasPostgresPythonScikit-LearnSQLTableauTypeScript
About the role
- We\'re transforming the trillion-dollar world of in-person sales by capturing and analyzing a never-before-digitized dataset: face-to-face conversations. While the tech world obsesses over digital interactions, most of our economy still runs on millions of in-person sales and service conversations happening daily across the U.S. Unlike Zoom calls, these conversations weren\'t historically recorded – leaving petabytes of rich data untapped. Until now.
- Companies in hundreds of industries rely on frontline salesforces working in-person, yet they\'ve operated with zero visibility into these critical customer interactions. Meanwhile, sales productivity follows a stark Pareto distribution – the vast majority of commissions accumulate to a small percentage of top performers, leaving millions of salespeople struggling to achieve financial freedom.
- With Siro, we\'re democratizing sales excellence. Our customers see their reps closing up to 40% more deals, all while gaining unprecedented insights from field conversations.
- We\'ve built an intelligence platform that captures, processes, and derives actionable insights from in-person sales and service conversations. Our customers span diverse industries – home improvement, home services (HVAC, plumbing), retail, B2B distribution, insurance, hospitality, and more.
- With over $75M 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 - 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 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.
- What you\'ll do
- Product Analytics and Business Intelligence
- 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
- Ad Hoc Insights and LLM Applications
- 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
- Data Quality
- Own data quality in our databases
- Establish data quality standards and monitoring
- Identify improvements needed and work with Engineering to implement
- 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
- % of product decisions backed by quantitative data
- Qualifications
- 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
- Our Tech Stack
- Core Tools
- Data Infrastructure: Google Cloud Platform (GCP), BigQuery, Postgres
- BI/Analytics: Mixpanel, Explo
- Languages: Python, SQL
- Version Control: Git
- AI/ML Stack
- LLM Frameworks: Anthropic, OpenAI, Google 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 natural language processing
- 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
- Closing diversity paragraph.
Requirements
- 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