Senior Data Scientist Product Analytics

  • Seattle, WA
  • Posted 9 hours ago | Updated 9 hours ago

Overview

On Site
Depends on Experience
Contract - W2
No Travel Required

Skills

Analytical Skill
Analytics
Data Visualization
User Experience
Leadership
Collaboration
Communication
Data Analysis
Business Analytics
Statistics
Data Science

Job Details

Role Overview

We are looking for an experienced Data Scientist to support the development of key data products and capabilities that enable data-driven product decisions. In this role, you will be part of a Product Data Science team, working closely with cross-functional partners such as Product, Engineering, User Experience, and Analytics to deliver actionable insights that drive product strategy, customer experience, engagement, and adoption.

Key Responsibilities

  • Collaborate with cross-functional teams to analyze product data and identify opportunities for product improvements, new features, and enhanced customer experience, engagement, and retention

  • Serve as the subject matter expert for product data strategy within assigned product areas

  • Partner with product managers, engineers, user researchers, and leadership to prioritize insights, analyses, and data initiatives that deliver measurable business impact

  • Define and implement product telemetry, establish key performance indicators (KPIs) with clear goals, and own recurring reporting on product usage and success

  • Partner with analytics and data engineering teams to automate data pipelines from multiple source systems into cloud data platforms

  • Design and build automated dashboards that integrate internal and external data sources, enabling self-service analytics for business users

  • Design, execute, and analyze A/B tests, multivariate experiments, and machine learning models in partnership with product teams

  • Translate complex analyses into clear, actionable insights and present findings to senior stakeholders

  • Evangelize data-driven frameworks, models, and best practices across the organization

  • Act with urgency to identify and remove roadblocks while proactively collaborating with cross-functional teams

Basic Qualifications

  • Bachelor s degree in a quantitative field (Statistics, Mathematics, Computer Science, Economics, Finance, or equivalent experience)

  • 7+ years of experience in data science, product analytics, or business analytics within a SaaS or cloud-based environment

  • Strong experience working with large, complex datasets and transforming them into actionable insights

  • Advanced SQL skills for data analysis and validation

  • Experience with data visualization tools such as Tableau, Power BI, or similar platforms

  • Solid foundation in statistics and analytical methodologies

  • Proven ability to solve real-world business problems using data

  • Strong communication skills with the ability to explain technical concepts to non-technical stakeholders

  • Experience working with engineering teams to define and implement product telemetry

  • Familiarity with Agile/Scrum product development methodologies

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.