Data Scientist IVitD 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.
Additional InfoDynamic environment in a culture of respect, empowerment and recognition for a job well done, apply today!
