Senior Data Scientist – Product & Telemetry Analytics Redmond, WA

Senior Data Scientist – Product & Telemetry Analytics

Redmond, WA

We are a technology solutions firm headquartered in Bellevue, Washington, with a strong presence across the United States. Unified by a shared passion for solving complicated problems, our people are our greatest asset. We use technology as a tool to bridge the gap between strategy and execution, powered by the knowledge, skills, and the expertise of our teams, who all have unique perspectives and years of experience across multiple industries.

We’re bold, smart, agile, and fun.

Blueprint helps organizations unlock value from existing assets by leveraging cutting‑edge technology to create additional revenue streams and new lines of business. We connect strategy, business solutions, products, and services to transform and grow companies.

At Blueprint, we believe in the power of possibility and are passionate about bringing it to life. Whether you join our bustling product division, our multifaceted services team, or want to grow your career in human resources, your ability to make an impact is amplified when you join one of our teams. You’ll focus on solving unique business problems while gaining hands‑on experience with the world’s best technology.

We believe in unique perspectives and build teams of people with diverse skillsets and backgrounds. At Blueprint, you’ll have the opportunity to work with multiple clients and teams—such as data science and product development—while learning, growing, and developing new solutions. We guarantee you won’t find a better place to work and thrive than at Blueprint.

In this role, you will drive insights that shape the strategy for an education‑focused digital product by analyzing large-scale telemetry and business data. You’ll partner closely with Product, Marketing, and Engineering to define and monitor key metrics, answer “why” behind performance changes, evaluate the impact of programs and initiatives, and communicate results through clear narratives and stakeholder‑ready dashboards. You’ll also help maintain reliable reporting and self‑serve tools so teams can monitor business health and make informed decisions quickly.

• Lead analyses that identify drivers of acquisition, engagement, retention, and overall product performance.
• Translate complex findings into clear recommendations that influence product and marketing decisions.
• Partner with Product, Marketing, and cross‑functional teams to define success metrics and integrate insights into planning and execution.
• Collaborate with stakeholders to clarify ambiguous requests and uncover the “why” behind trends or metric changes.
• Build and maintain reporting queries and monitoring frameworks with Engineering to track business health.
• Develop and maintain Power BI dashboards and enable stakeholder adoption of self‑service reporting.
• Work with complex, high‑volume, high‑dimensional datasets from multiple sources and systems.
• Deliver high-quality work in environments with incomplete, messy, or inconsistent data.
• Communicate results through compelling data stories tailored to product, marketing, and leadership audiences.

• 5+ years of experience in data analytics / data science / product analytics.
• 5+ years of experience writing SQL for analysis and reporting.
• 2+ years of experience building dashboards (Power BI preferred).
• Proficiency in Python for analysis (statistics, data manipulation, visualization).
• Strong analytical and problem‑solving skills, including comfort working independently with ambiguous requirements.
• Strong communication skills (verbal, written, and visual) with the ability to explain complex analysis to non‑technical stakeholders.
• Demonstrated experience collaborating cross‑functionally in a fast‑paced environment.

• Experience with large-scale telemetry/event data (clickstream/product usage events).
• Strong statistical foundation and experience with causal inference or impact evaluation (more important than advanced ML).
• Familiarity with distributed / big‑data query tools (Spark
  
  SQL, Databricks) or Azure Data Explorer.
• Experience…