Data Scientist IV (6382)

Data Scientist IV

itD is seeking a Data Scientist IV to support Company’s Connectivity Infrastructure team by measuring infrastructure health, evaluating performance opportunities, and driving data-informed product decisions. The ideal candidate will bring strong experience in SQL, experimentation, statistical analysis, and product metrics, with a proven ability to translate complex data into actionable insights that support systems across Company platforms, including Facebook and Instagram.

Location: Bellevue, WA (Remote may be considered for exceptionally strong candidates).

Duration: 12-month contract (leave backfill).

Schedule: Full-time, 40 hours per week, Monday–Friday. No overtime.

We provide comprehensive medical benefits, a 401k plan, paid holidays, and more.
Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship.

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.

Internal Responsibilities

• Attend regular internal practice community meetings.
• Collaborate with your itD practice team on industry thought leadership.
• Complete client case studies and learning material (blogs, media material).
• Build out material to contribute to the Digital Transformation practice.
• Attend internal itD networking events (in person and virtual).
• Work with leadership on career fast-track opportunities.

Required Qualifications and Skills

• 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, with the ability to present insights to cross-functional partners.
• Bachelor's degree in Engineering or a related field.

Preferred Qualifications and Skills

• 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.

Education

• Bachelor's degree in Engineering or a related field required.
• Master's degree preferred.