Distinguished, Data Scientist in Bellevue, Washington

Distinguished Data Scientist

$156,000 - $312,000/yr Regular/ Permanent Salaried Position Summary... What you'll do... As a Distinguished Data Scientist in the Marketplace data sciences team, you'll have the opportunity to:

Drive innovative strategic solutions for Marketplace utilizing advanced SOTA AI and ML solutions at large scale and at accelerated pace.

Drive data-derived insights by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives

Work closely with Directors, Sr. Managers of Data Science, and leaders of Architecture, Engineering, Product & business teams to drive the Organizational strategy around Marketplace.

Direct the gathering of data, assess data validity and synthesize data into large analytics datasets to support project goals

Mentor and guide a set of Data Scientists, Data Analysts across IDC and US to drive Marketplace growth and operation efficiency using advanced Machine Learning and Gen AI.

Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data. Determine additional data needed to support insights

Build and train AI/ML models for replication for future projects

Deploy and maintain the data science solutions

Communicate recommendations to business partners and influence future plans based on insights

Position Responsibility

Consult with product/business stakeholders on algorithmic recommendations and translate insights into actions.

Lead and mentor domain data science teams to deliver ML products on time.

Collaborate cross-functionally to drive end-to-end content improvement.

Research and develop innovative content-improvement solutions leveraging multilingual and multimodal foundation models.

Identify complex business opportunities solvable with advanced ML/Computer Vision; evaluate and prioritize business cases.

Define success criteria, deliverables, and KPIs; quantify and track business impact of ML products.

Establish model evaluation/testing standards and documentation; guide deployment via MLOps best practices.

Communicate recommendations, influence partners globally, and drive innovation while upholding company values and ethics.

Qualifications

Bachelor's with > 20 years, Masters > 17 years OR Ph.D. in Comp Science/Statistics/Mathematics with > 14 years of relevant experience. Educational qualifications should be Computer Science/Statistics/Mathematics or a related area.

Experience of acting as a tech lead for > 10 years