Data Scientist - Remote (EST)

About the Company
A high-growth technology company is seeking an experienced data science leader to establish and develop its data science practice. The organization is focused on building a strong analytical foundation to support informed decision-making, product development, and long-term business growth.
About the Role
The Principal Data Scientist will lead the development of the company's data science and analytics capabilities, combining hands-on technical work with strategic leadership. This role will focus on transforming fragmented and evolving data into reliable insights, building scalable analytics frameworks, and establishing the processes needed to support data-driven decisions across the organization.
Working closely with Product, Engineering, and business stakeholders, you will shape measurement strategies, develop analytical infrastructure, and influence product and business priorities. The role is approximately 80% hands-on data science and analytics engineering and 20% strategic leadership and cross-functional collaboration.
Key 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 inconsistent, incomplete, and noisy datasets to identify meaningful patterns and actionable business opportunities.
Design and execute experiments to evaluate product initiatives and test business assumptions.
Develop dashboards, KPI frameworks, and self-service reporting capabilities.
Establish scalable standards, documentation, and best practices for data science and analytics.
Collaborate with Product, Engineering, and business leaders to inform strategic planning and product roadmap decisions.
Present analytical findings, insights, and recommendations to senior leadership and executive stakeholders.
Establish best practices for statistical analysis, experimentation, and analytical methodologies.
Build the processes and technical foundations required to support a growing data science function.
Required Qualifications
At least 7 years of experience in Data Science, Applied Science, Analytics Engineering, Data Engineering, or a related field.
Advanced proficiency in Python and SQL.
Experience establishing data science or analytics functions in growing organizations.
Strong knowledge of statistics, experimental design, causal inference, and hypothesis testing.
Experience developing and maintaining data models, ETL processes, and analytical data pipelines.
Demonstrated ability to work with inconsistent, incomplete, or evolving datasets.
Ability to translate business objectives into scalable analytical solutions.
Excellent written and verbal communication skills, with the ability to influence stakeholders at different levels.
Ability to work independently, lead initiatives, and make progress with limited guidance.
A graduate degree in Statistics, Data Science, Computer Science, Economics, Mathematics, or a related quantitative discipline, or equivalent professional experience.
Preferred Qualifications
Experience 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.
A track record of influencing business and product decisions through quantitative insights.
Experience in B2B SaaS, HR technology, behavioral analytics, or related industries.
Experience using AI-enabled tools to improve analytical efficiency and productivity.
Salary and Benefits
The base salary range for this position is $170,000–$220,000.
Potential bonus and/or equity package.
Flexible remote work opportunities within the United States.
Medical insurance.
Dental benefits.
Vision benefits.
Paid time off (PTO).
401(k).
Additional Requirements
Applicants must be currently authorized to work in the United States on a full-time basis and must remain authorized to do so in the future.

Work arrangement
Yes