Data Scientist IV (6382)

itD Tech•Bellevue, WA

About The Position

itD is seeking a Data Scientist IV to support the Company’s Connectivity Infrastructure team by measuring infrastructure health, evaluating performance opportunities, and driving data-informed product decisions. The role focuses on SQL, experimentation, statistical analysis, and product metrics, translating complex data into actionable insights for systems across Company platforms, including Facebook and Instagram. The position is based in Bellevue, Washington; remote work may be considered for exceptionally strong candidates. It is a 12-month contract covering a leave backfill, scheduled for 40 hours per week, Monday through Friday, with no overtime. Candidates must be direct W2 workers; sponsorship is not available. The role also includes internal practice activities at itD, such as participating in community meetings and networking events, collaborating on thought leadership and case studies, contributing learning and Digital Transformation practice materials, and working with leadership on career development opportunities.

Requirements

At least 4 years of experience in Data Science, Analytics, or a related field.
Advanced SQL experience, including working with large datasets.
Hands-on experience with experiment design and analysis, including A/B testing and statistical inference.
Experience defining product metrics and building dashboards.
Strong analytical and problem-solving skills.
Excellent written and verbal communication skills, including the ability to present insights to cross-functional partners.
Bachelor's degree in Engineering or a related field.
Must be a direct W2 candidate; sponsorship is not available.

Nice To Haves

Master's degree in a relevant field.
Experience with Python for data analysis and statistical modeling.
Experience working with large-scale technology platforms or infrastructure analytics.
Experience partnering with engineering and product teams on experimentation and performance optimization.

Responsibilities

Build and maintain core product metrics, dashboards, and reporting to monitor Connectivity Infrastructure health and performance.
Analyze large datasets using advanced SQL to identify trends, performance gaps, and improvement opportunities.
Design experiments and evaluate A/B testing results using statistical inference and analytical methodologies.
Measure infrastructure performance and identify opportunities to improve connectivity and presence systems.
Define, track, and monitor product metrics to support data-driven engineering and product decisions.
Translate complex analytical findings into clear, actionable recommendations for engineering and product partners.
Collaborate with cross-functional stakeholders to communicate insights, support experimentation, and drive project outcomes.
Attend regular internal practice community meetings.
Collaborate with the itD practice team on industry thought leadership.
Complete client case studies and learning materials, including blogs and media materials.
Build materials to contribute to the Digital Transformation practice.
Attend internal itD networking events, in person and virtually.
Work with leadership on career fast-track opportunities.