[Hiring] Principal Data Scientist @Motion Recruitment

Role 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.

Qualifications

• 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

Requirements

• 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

Benefits

• $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
• Medical Insurance
• Dental Benefits
• Vision Benefits
• Paid Time Off (PTO)
• 401(k)