Product Data Scientist (Multiple Levels) at Source – Remote, Oregon

About Source
Source is redefining how the built world comes together.
We’re building the operating system for global commercial construction—an AI-native platform designed to accelerate decision-making across the entire lifecycle of a project. From vision to execution, we empower owners, designers, and vendors to move faster, collaborate smarter, and unlock better outcomes at scale.
Our work is grounded in the belief that enduring spaces start with empowered teams—and that intelligent infrastructure can transform how an entire industry operates. This isn’t about digitizing workflows. It’s about reengineering the system with clarity, transparency, and trust at its core.
If you’re energized by complexity, motivated by purpose, and ready to help shape the future of the built environment—we’d love to build it with you.

The Role
Build the Analytics Foundation — and Grow Beyond ItWe’re looking for a Product Data Scientist who enjoys laying strong analytical foundations and is excited to grow into deeper data science work as the company and data platform mature.
In the near term, this role focuses on building and owning the core analytics layer for a product area: reliable pipelines, clear metrics, and datasets and dashboards that teams can trust. Over time, the role evolves toward deeper analysis, experimentation, and applied modeling that directly informs product strategy and business outcomes.Success in this role is measured by better decisions and real-world impact, not necessarily by model complexity or algorithmic novelty.

Your Impact
Build the Analytics Foundation (Near Term)

• Design, build, and maintain scalable ETL / ELT pipelines that power product analytics and reporting
• Partner with Product and Engineering to define and implement instrumentation, logging, and telemetry for new features
• Define, document, and maintain core product metrics and dashboards; ensure data quality, reliability, and consistency

Enable Product Insights & Decision-Making (Medium Term)

• Conduct exploratory, diagnostic, and descriptive analyses to answer product and business questions
• Contribute to applied modeling efforts (e.g., recommendation, ranking, scoring, or forecasting systems) in collaboration with engineering partners
• Partner with Product and Business stakeholders to frame hypotheses, evaluate trade-offs, and guide roadmap and investment decisions

Applied Modeling, Experimentation, & AI (Long Term)

• Support the design, execution, and analysis of experiments as experimentation capabilities develop
• Apply causal inference and predictive techniques to assess impact and inform strategy
• Thoughtfully evaluate where AI or automation can meaningfully improve product insights, internal workflows, or customer-facing experiences

Shape the Data Function Over Time

• Continuously improve the performance, reliability, and scalability of analytics pipelines and data models
• Contribute to data standards, documentation, and best practices as the data function grows
• Help shape tools and processes that enable the broader organization to use data effectively

What You’ll Bring to the Role
Minimum Qualifications

• Advanced degree or equivalent practical experience in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field
• 3+ years of experience in product analytics, applied data science, analytics engineering, or related roles
• Strong experience working with large, event-level datasets and building analytics-ready data models
• Proficiency in SQL and at least one analytics or programming language (e.g., Python)
• Experience defining product metrics, building dashboards, and supporting self-serve analytics
• Ability to independently own ambiguous problems end-to-end—from data reliability to insight to action
• Strong communication skills and comfort collaborating with Product, Engineering, and Business partners

Preferred Qualifications

• Familiarity with AI-assisted tools or workflows that augment analysis, exploration, automation, or decision-making
• Experience contributing to applied modeling efforts such as: recommendation or ranking systems (e.g., discovery, relevance, prioritization), scoring models (e.g., risk, reputation, quality, or trust), and forecasting or propensity models used for planning or strategy
• Experience supporting experimentation, causal inference, or impact measurement in a product environment
• Product analytics experience in consumer, marketplace, SaaS, or platform products
• Experience working in early-stage or fast-evolving environments

Note: This role does not require deep specialization in machine learning. We value strong analytical judgment, practical modelling experience, and the ability to connect data and models to real product decisions over algorithmic depth.

Why You’ll Love Working at Source

• Innovative Work – Be part of a disruptive tech platform transforming the construction industry.
• Career Growth – Work with an ambitious, high-performing team that values professional development.
• Remote Flexibility – Fully remote position with collaborative, tech-enabled workflows.
• Collaborative Culture – Join a company that values teamwork, respect, and transparent communication.
• Competitive Compensation & Benefits – Market-leading salary, equity, performance bonuses, and comprehensive benefits including employer-paid health insurance, professional development support, and flexible PTO.

Our Core Values
At Source, we believe in…

• 🛠️ Solving hard problems. We’re not afraid of complexity, in fact, we run towards it. We take pride in solving what others think is impossible. After all, if it were easy, someone would’ve already done it.
• ✨ Creating delight. Every interaction is an opportunity to surprise, exceed expectations, and leave people thinking, “That’s different. That’s better.” We elevate utility into joy.
• ⚙️ Elevating strategy through execution. Plan with purpose and act with urgency, the best strategies create impact only when implemented effectively.
• 🔄 Embracing change. Change is not a threat, it’s exciting to push boundaries and step outside of our comfort zones. We are flexible and continuously adapt. We improve what works, and replace what doesn’t. Stagnation is the only risk we can’t afford.
• 🚀 Innovating and thinking big. We believe great ideas can come from anywhere—and it’s everyone’s responsibility to challenge the status quo. We seek out bold transformations, take measured risks, and are relentless in our pursuit of better.

What to Expect in the Hiring Process
Step 1: Introductory CallStep 2: Coding ScreenStep 3: Product Sense & Technical Deep DiveStep 4: Cross-Functional Panel InterviewStep 5: Final Interview with LeadershipStep 6: Offer & Onboarding

Compensation StatementSource carefully evaluates multiple factors to determine compensation, including a candidate’s skills, qualifications, experience, education, and training.
The minimum salary for the Product Data Scientist position is $169,000 annually and the maximum salary is $224,000 annually. The actual compensation offered to a successful candidate will be based on these factors and may vary accordingly.
In addition to base salary, successful candidates may be eligible for discretionary bonuses and other incentives based on individual and company performance in alignment with Source’s applicable compensation and benefits programs.
Equal Employment OpportunitySource is an equal opportunity employer. We believe that diverse perspectives and inclusive environments drive innovation, creativity, and success, and we are dedicated to fostering a workplace where everyone feels valued and empowered to contribute. We are committed to providing equal employment opportunities to all qualified applicants, regardless of race, color, religion, national origin, sex, sexual orientation, gender identity, pregnancy, age, marital status, disability, veteran status, political affiliation, or any other status protected by applicable law.
Candidate AccommodationsSource values the unique backgrounds, experiences, and perspectives of all current and prospective employees. We recognize that every individual contributes to our success, and we are committed to ensuring an inclusive and accessible hiring process.
Source provides reasonable accommodations for individuals with disabilities in the job application and recruitment process. If you require assistance due to a disability, please contact us at hr@tothesource.com or (971)271-6905 to request accommodations.
Work AuthorizationApplicants must be authorized to work in their country of residence. Source may hire internationally through an Employer of Record (EOR) for certain roles, at its discretion. Employment visas for relocation to the United States are not sponsored at this time.