Staff Data Scientist

Join Boulevard as a Staff Data Scientist, where you'll build and own the Product Intelligence function. You'll define key questions, create infrastructure for analysis, and develop data-driven recommendations that inform strategy. You'll also build scalable dashboards, conduct deep-dive analyses, and bridge product data with the broader organization. This role requires a strong background in data science, product analytics, and engineering, as well as the ability to thrive in ambiguity and manage projects end-to-end.

• Construire la fonction d'intelligence produit de Boulevard et posséder ses responsabilités fondamentales.
• Développer des recommandations basées sur les données qui informent la stratégie et entraînent l'action, en utilisant des récits engageants et des visualisations efficaces.
• Posséder des analyses approfondies et exploratoires qui améliorent la compréhension des clients et de leur relation avec le produit.

• You have deep and broad experience in as many of these three disciplines:
• 1. Doing the engineering work to build and maintain the tech stack
• 2. Data analysis and insights on product feature use to support product decisions
• 3. Using data science approaches like experiment design, measuring experiment results and building models that helps us understand customer behavior and customer product use better
• This role requires someone who is genuinely energized by ambiguity
• You know what good looks like, you hold yourself and your work to that standard, and you don’t wait to be asked before surfacing what matters
• Demonstrated ability to design and execute deep-dive analyses across the full product lifecycle — including funnel diagnostics, cohort and retention modeling, and behavioral segmentation — translating statistical findings into clear, decision-ready narratives for product and leadership audiences
• Ability to build and own your own data pipelines. Production-grade DBT models, transformations, and orchestration in Snowflake, written in code with tests, documentation, and version control. You're self-sufficient from raw event to analysis-ready asset, and you partner with data engineering on platform and scale rather than waiting in their queue. Act Like an Owner
• Expertise in building dashboards and visualizations using platforms such as Sigma, Looker, Tableau, or similar — with a track record of creating self-serve tools that teams actually use
• Significant experience working directly with product managers and leaders — translating data findings into actionable opportunities and tradeoffs that drive strategy and roadmap investment
• 8+ years of proven experience in data science or product analytics or engineering in a B2B SaaS or high-growth technology environment, with meaningful time spent in early-stage or low data-maturity environments — you’ve built the foundation, not just worked on top of one someone else laid. Act Like an Owner
• Fluency with data analysis and BI tools: SQL, analytical tools like Python / Jupyter notebooks, Snowflake, DBT, Sigma for data and reporting pipelines and AWS infrastructure to productionalize analytics / models in a repeatable way; strong proficiency with data modeling. Know Your Sh*t
• Proven experience owning experimentation end to end, designing tests before a feature ships (hypothesis, primary and guardrail metrics, randomization unit, power and duration), running the analysis, and delivering a defensible read on impact. Hands-on experience on a platform such as Statsig, Optimizely. Equally important: the causal-inference toolkit and the judgment to use it when a clean A/B test isn't possible. Know Your Sh*t
• High level of ownership with a demonstrated ability to manage projects end-to-end, identify opportunities, navigate ambiguity, and build processes that scale — comfortable thriving in fast-paced, dynamic environments with multiple competing priorities. Make an Impact
• Direct experience designing and executing product instrumentation strategies — defining event schemas, authoring tracking plans, and ensuring reliable data capture in partnership with product and engineering
• Proven track record of partnering cross-functionally and using product data to influence leadership decisions and outcomes — whether shaping go-to-market strategy, informing customer success priorities, or driving alignment across teams; you earn trust by being direct, generous with knowledge, and consistent in how you show up
• Deep, hands-on statistical and machine learning expertise applied to customer behavior. Regression and classification, propensity and churn-risk modeling, clustering and behavioral segmentation, survival and time-to-value analysis — with the judgment to reach for the simplest method that answers the question, validate it honestly, and communicate uncertainty as clearly as the estimate. Know Your Sh*t
• Clear, confident communication with stakeholders at any level — you can build a narrative that lands with a PM or the executive team, and you deliver it with the kind of presence that builds trust. Show Up With Style
• Experience evaluating or implementing product analytics tooling such as Amplitude, Mixpanel, or similar platforms