Staff Data Scientist

Boulevard

. Build Boulevard’s product data foundation by defining data capture requirements, designing data models, and developing a scalable analytics technology stack with data engineering .

Posted 9/23/2026full-timeRemote • United StatesLead💰 $171,400 - $201,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data science and product analytics, with a strong focus on building scalable data models, dashboards, and analytics technology stacks. Proficient in statistical and machine learning methods to drive data-driven decision-making and influence product strategy.

Highest-signal resume keywords

Data Science ExpertiseSQL ProficiencyStatistical AnalysisProduct AnalyticsDashboard Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingMachine LearningStatistical AnalysisExperimentation DesignFunnel DiagnosticsCohort ModelingBehavioral SegmentationDBT Data PipelinesEvent SchemasTracking Plans

Soft Skills

Clear CommunicationProject ManagementCross-Functional CollaborationInfluencing Leadership DecisionsNavigating Ambiguity

Tools & Technologies

SQLPythonJupyter NotebooksSnowflakeDBTSigmaLookerTableauStatsigOptimizely

Industry Keywords

B2B SaaSHigh-Growth TechnologyProduct DevelopmentData EngineeringAnalytics Technology Stack

Tech Stack

Tools & technologies

AWSPythonSQLTableau

About the role

Key responsibilities & impact

Build Boulevard’s product data foundation by defining data capture requirements, designing data models, and developing a scalable analytics technology stack with data engineering
Develop data-driven recommendations with Product through narratives, data storytelling, and audience-appropriate visualizations
Build scalable self-serve dashboards and enable stakeholders to independently explore and interpret data
Operationalize product analytics and connect it to OKRs and business outcomes
Own exploratory and deep-dive analyses of customer and product behavior, including funnels, retention, cohorts, and feature adoption
Bridge product data and the broader organization to influence cross-functional decisions and outcomes
Create scalable team processes and analytical workflows that ensure data accuracy
Own Product Development experimentation, including test design, analysis, impact readouts, experimentation standards, templates, and tooling workflows
Design quasi-experimental analyses when clean A/B tests are not possible
Apply statistical and machine learning methods to model customer behavior, adoption, retention, churn, segmentation, activation, and causal drivers
Productionize models with data engineering, including scheduling, monitoring, versioning, drift management, retraining, and retirement
Partner with Product, Engineering, data engineering, and executive stakeholders to shape product strategy and roadmap investment

Requirements

What you’ll need

8+ years of proven experience in data science, product analytics, or engineering in a B2B SaaS or high-growth technology environment
Meaningful experience in early-stage or low-data-maturity environments
Fluency with SQL, Python/Jupyter notebooks, Snowflake, DBT, Sigma, and AWS infrastructure
Strong proficiency with data modeling
Experience designing and executing product instrumentation strategies, including event schemas and tracking plans
Expertise building dashboards and visualizations with Sigma, Looker, Tableau, or similar
Significant experience working directly with product managers and leaders
Experience with funnel diagnostics, cohort and retention modeling, and behavioral segmentation
Deep statistical and machine learning expertise, including regression, classification, propensity and churn-risk modeling, clustering, survival and time-to-value analysis
Proven end-to-end experimentation experience, including hypothesis, metrics, randomization, power, duration, and analysis
Hands-on experience with Statsig, Optimizely, or similar experimentation platforms
Causal-inference experience when clean A/B testing is not possible
Ability to build and own production-grade DBT data pipelines, transformations, orchestration, tests, documentation, and version control
Clear, confident communication with stakeholders at all levels
Ability to manage projects end-to-end, identify opportunities, navigate ambiguity, and build scalable processes
Proven cross-functional partnership and ability to influence leadership decisions using product data
Experience with Amplitude, Mixpanel, or similar product analytics tools preferred

Benefits

Comp & perks

Competitive base pay
Performance bonus eligibility
Equity participation for all full-time employees
Comprehensive medical coverage with up to 100% employee premium coverage and 75% dependent coverage
Annual $1,200 HSA employer contribution for eligible plans
100% covered dental, vision, life, and disability insurance
12 weeks of fully paid U.S. parental leave
Flexible paid time off
10 U.S. company holidays
Fully remote work
$200 home office setup allowance
$50 monthly WFH reimbursement
$200 quarterly Boulevard Bucks for well-being and industry connection
One Medical membership
Employee Assistance Program
Equal opportunity and inclusive workplace commitment