
Staff Data Scientist
Posted 5 hours ago

Posted 5 hours ago
This is a fully remote position, open to applicants in United States.
• Establish Boulevard’s product data infrastructure by outlining data capture needs, designing data models, and creating a scalable analytics technology framework with data engineering.
• Generate data-driven insights in collaboration with Product through narratives, data storytelling, and visualizations tailored to the audience.
• Develop scalable self-service dashboards, empowering stakeholders to explore and analyze data independently.
• Implement product analytics and link it to OKRs and business results.
• Conduct exploratory and in-depth analyses of customer and product behavior, focusing on funnels, retention, cohorts, and feature adoption.
• Connect product data with the broader organization to impact cross-functional decisions and results.
• Establish scalable team processes and analytical workflows that guarantee data accuracy.
• Oversee Product Development experimentation, encompassing test design, analysis, impact assessments, experimentation standards, templates, and workflow tools.
• Design quasi-experimental analyses in situations where clean A/B tests cannot be executed.
• Utilize statistical and machine learning techniques to model customer behavior, adoption, retention, churn, segmentation, activation, and causal factors.
• Deploy models with data engineering, including scheduling, monitoring, version control, drift management, retraining, and retirement.
• Collaborate with Product, Engineering, data engineering, and executive stakeholders to influence product strategy and roadmap investments.
• Over 8 years of demonstrated experience in data science, product analytics, or engineering within a B2B SaaS or rapidly growing technology setting.
• Substantial experience in early-stage or low-data-maturity environments.
• Proficient in SQL, Python/Jupyter notebooks, Snowflake, DBT, Sigma, and AWS infrastructure.
• Strong skills in data modeling.
• Experience in designing and implementing product instrumentation strategies, including event schemas and tracking plans.
• Expertise in developing dashboards and visualizations using Sigma, Looker, Tableau, or similar tools.
• Significant experience working closely with product managers and leaders.
• Familiarity with funnel diagnostics, cohort and retention modeling, and behavioral segmentation.
• Profound statistical and machine learning knowledge, including regression, classification, propensity and churn-risk modeling, clustering, and survival and time-to-value analysis.
• Proven experience in end-to-end experimentation, covering hypothesis, metrics, randomization, power, duration, and analysis.
• Practical experience with Statsig, Optimizely, or similar experimentation platforms.
• Experience in causal inference when traditional A/B testing is not feasible.
• Capability to build and manage production-grade DBT data pipelines, transformations, orchestration, tests, documentation, and version control.
• Strong communication skills with stakeholders at every level.
• Ability to manage projects comprehensively, identify opportunities, navigate uncertainty, and develop scalable processes.
• Proven ability to partner cross-functionally and influence leadership decisions through product data.
• Experience with Amplitude, Mixpanel, or similar product analytics tools is preferred.
• Competitive base salary.
• Eligibility for performance bonuses.
• Equity participation for all full-time staff.
• Extensive medical coverage with up to 100% employee premium coverage and 75% dependent coverage.
• Annual $1,200 HSA employer contribution for qualifying plans.
• Comprehensive dental, vision, life, and disability insurance fully covered.
• 12 weeks of fully paid parental leave in the U.S.
• Flexible paid time off.
• 10 U.S. company holidays.
• Fully remote work opportunity.
• $200 allowance for home office setup.
• $50 monthly reimbursement for work-from-home expenses.
• $200 quarterly Boulevard Bucks for well-being and industry networking.
• One Medical membership included.
• Access to an Employee Assistance Program.
• Commitment to an equal opportunity and inclusive workplace.
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