Job Description A high-growth technology company is seeking a Principal Data Scientist to establish and lead its data science practice. This is a strategic, hands-on role for an experienced data professional who excels at solving complex problems, navigating ambiguity, and transforming fragmented data into meaningful business outcomes.
As the senior-most data science leader, you will be responsible for building the analytical foundation that enables data-informed decision making across the organization. You'll work closely with Product, Engineering, and business stakeholders to develop scalable analytics frameworks, define measurement strategies, and create the infrastructure needed to support long-term growth.
This position is ideal for someone who enjoys creating order from uncertainty, building processes from scratch, and driving measurable impact through data. The successful candidate will be equally comfortable working at the strategic level while remaining deeply involved in technical execution. Required Skills & Experience 7+ years of experience in Data Science, Applied Science, Analytics Engineering, Data Engineering, or a related discipline
Advanced expertise in Python and SQL
Experience establishing analytics or data science functions in growing organizations
Strong foundation in statistics, experimentation design, causal inference, and hypothesis testing methodologies
Experience creating and maintaining data models, ETL processes, and analytical data pipelines
Proven success working with inconsistent, incomplete, or evolving datasets
Ability to translate business objectives into scalable analytical solutions
Strong written and verbal communication skills with the ability to influence stakeholders at all levels
Demonstrated ability to operate autonomously and lead initiatives with limited guidance
Graduate degree in Statistics, Data Science, Computer Science, Economics, Mathematics, or a related quantitative field, or equivalent professional experience
Desired Skills & Experience Experience working in startup or early-stage technology environments
Background in product analytics, customer behavior analysis, or user engagement measurement
Familiarity with cloud-based data platforms, modern analytics stacks, and data warehouse technologies
Experience developing machine learning models, predictive analytics solutions, or forecasting frameworks
Track record of influencing business and product decisions through quantitative insights
Experience within B2B SaaS, HR technology, behavioral analytics, or related industries
Experience utilizing AI-enabled tools to improve analytical efficiency and productivity
What You Will Be Doing Daily Responsibilities Architect and build the organization's core analytics ecosystem
Design, implement, and optimize data pipelines, instrumentation strategies, and reporting infrastructure
Integrate, clean, transform, and model data from multiple internal and external sources
Analyze noisy and incomplete datasets to uncover actionable patterns and opportunities
Develop and execute experiments to validate product initiatives and business assumptions
Create dashboards, KPI frameworks, and self-service reporting capabilities
Establish scalable standards, documentation, and best practices for analytics and data science
Partner with Product, Engineering, and business leadership to guide strategic planning and roadmap decisions
Present insights and recommendations to senior leadership and executive stakeholders
Serve as the organization's expert on analytics methodologies, experimentation frameworks, and statistical best practices
Breakdown 80% Hands-On Data Science & Analytics Engineering
20% Strategic Leadership & Cross-Functional Collaboration
The Offer $170,000 - $220,000 Base Salary
Potential bonus and/or equity package
Flexible remote work opportunities within the United States
Opportunity to build and own a company-wide data science function from inception
Significant visibility and direct influence on business strategy and product direction
You will receive the following benefits Medical Insurance
Dental Benefits
Vision Benefits
Paid Time Off (PTO)
401(k)
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.