Staff Data Scientist

Boulevard provides the first and only client experience platform for appointment-based, self-care businesses. It empowers over 5,000 businesses to manage scheduling, payments, marketing, and client relationships, processing over $5 billion in payments annually. The company has raised $188 million in funding and is rapidly expanding, particularly in multi-location and franchise operations.

Core Role

Boulevard is seeking a Staff Data Scientist to establish and lead its Product Intelligence function. This role requires expertise in three key areas:

• Building and maintaining the technical infrastructure for data analysis
• Conducting data analysis and insights to guide product decisions
• Applying data science techniques to understand customer behavior and product usage

The ideal candidate thrives in ambiguity, enjoys defining questions and building frameworks to answer them, and operates with a strong sense of ownership. This role is foundational and will shape Boulevard’s product decision-making for years to come.

Key Responsibilities

• Build Boulevard’s product data foundation by defining data capture strategies and designing scalable models and tech stacks in partnership with data engineering
• Develop data-driven recommendations for product strategy, engaging stakeholders through effective data storytelling and visualizations
• Create self-serve dashboards that empower teams to explore data and make informed decisions, fostering a data-driven culture
• Conduct deep-dive analyses, such as funnel analysis, retention curves, cohort behavior, and feature adoption, to elevate understanding of customer-product relationships
• Bridge product data insights to broader organizational decisions, ensuring data actively influences cross-functional outcomes
• Establish team processes and analytical workflows to ensure data accuracy and scalability, advocating for necessary tooling investments
• Own experimentation practices, including designing experiments, analyzing results, and establishing standards for evaluating feature launches using tools like Statsig
• Apply statistical and machine learning methods to model customer behavior, including propensity and churn-risk modeling, segmentation, and time-to-value analysis
• Operationalize models by partnering with data engineering to schedule, monitor, and version models, ensuring their output drives action in product workflows

Required Qualifications

• 8+ years of experience in data science, product analytics, or engineering in a B2B SaaS or high-growth tech environment, with experience in early-stage or low data-maturity settings
• Fluency in data analysis and BI tools: SQL, Python/Jupyter notebooks, Snowflake, DBT, Sigma, and AWS infrastructure for productionalizing analytics and models
• Direct experience designing and executing product instrumentation strategies, including defining event schemas and ensuring reliable data capture
• Expertise in building dashboards and visualizations using platforms like Sigma, Looker, or Tableau, with a track record of creating self-serve tools that teams use
• Significant experience working with product managers and leaders to translate data findings into actionable strategies and roadmap investments
• Ability to design and execute deep-dive analyses across the product lifecycle, including funnel diagnostics, cohort and retention modeling, and behavioral segmentation
• Deep statistical and machine learning expertise, including regression, classification, propensity modeling, clustering, survival analysis, and time-to-value modeling
• Proven experience owning experimentation end-to-end, including designing tests, running analyses, and delivering defensible results on feature impact
• Ability to build and own data pipelines, including production-grade DBT models, transformations, and orchestration in Snowflake
• Clear, confident communication with stakeholders at all levels, building trust and delivering narratives that drive action
• High level of ownership, ability to manage projects end-to-end, navigate ambiguity, and build scalable processes
• Proven track record of partnering cross-functionally and using product data to influence leadership decisions

Preferred Qualifications

• Experience evaluating or implementing product analytics tooling such as Amplitude or Mixpanel

Why This Role Matters

Boulevard is at a critical growth stage, scaling upmarket and expanding its product offerings. This role is essential for:

• Ensuring product teams build with conviction by understanding how customers use existing features
• Measuring the success or failure of new launches with proper instrumentation and frameworks
• Identifying high-value customers and understanding why they derive value from Boulevard’s products
• Providing leadership with a reliable source of truth for product performance to make informed strategic decisions

The work done in the first year will shape Boulevard’s product decision-making for the next five years.