Remote Staff Data Scientist

Job Description A growing technology company is seeking a Staff Data Scientist to build and lead the foundation of its data science function. This is a highly visible, high-impact role for someone who thrives in ambiguity, enjoys solving difficult problems with imperfect information, and can bridge the gap between data engineering and data science.
You will be responsible for turning fragmented, incomplete, and evolving data into actionable business insights. As the organization's senior data expert, you will design the infrastructure, pipelines, analytics frameworks, and experimentation practices that drive product and business decisions.
This role is ideal for a builder who enjoys working in fast-paced environments where processes, datasets, and success metrics are still being defined. You'll partner closely with Product, Engineering, and business leaders to identify meaningful signals, validate hypotheses, and create a scalable data foundation for future growth. Required Skills & Experience
7+ years of experience in Data Science, Applied Science, Analytics Engineering, Data Engineering, or related fields
Advanced proficiency in Python and SQL
Experience building analytics and data science capabilities from the ground up
Strong understanding of statistics, experimentation, causal inference, and hypothesis testing
Experience designing and maintaining data pipelines and data models
Proven ability to work with small, messy, incomplete, or ambiguous datasets
Experience translating complex business questions into analytical solutions
Strong communication skills with the ability to influence technical and non-technical stakeholders
Experience operating independently and driving initiatives with minimal oversight
Graduate degree in Statistics, Data Science, Computer Science, Economics, Mathematics, or a related quantitative discipline, or equivalent industry experience
Desired Skills & Experience
Startup or early-stage product experience
Experience with product analytics and user behavior analysis
Familiarity with modern cloud data platforms and data warehouse technologies
Experience developing predictive models and machine learning solutions
Experience influencing product strategy through data-driven insights
Background in B2B SaaS, HR technology, behavioral science, or related industries
Experience leveraging AI tools to improve productivity and analytical processes
What You Will Be Doing Daily Responsibilities
Design and build the organization's core analytics and data infrastructure
Develop and maintain data pipelines, instrumentation, and reporting systems
Collect, clean, transform, and model data from multiple disparate sources
Identify patterns and opportunities within incomplete and noisy datasets
Design and execute experiments to evaluate product and business hypotheses
Build dashboards, metrics frameworks, and decision-support tools
Create scalable data science processes, standards, and documentation
Partner with Product, Engineering, and business teams to shape strategy and roadmap decisions
Communicate analytical findings and recommendations to executive stakeholders
Serve as the subject matter expert for statistical rigor, experimentation, and analytics best practices
Breakdown
80% Hands-On Data Science & Analytics Engineering
20% Strategic Partnership & Stakeholder Collaboration
The Offer
$170,000 - $220,000 Base Salary
Potential bonus and/or equity package
Flexible remote work options within the United States
Opportunity to build and own a data science function from the ground up
High visibility and direct impact on company 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.
Posted By: Nick Ramler

Work arrangement
Yes