Data Science - Analyst 2

eBay-posted 2 months ago

$129,709 - $193,300/Yr

Full-time • Entry Level

Remote • Bellevue, WA

Motor Vehicle and Parts Dealers

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At eBay, we're more than a global ecommerce leader — we're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We're committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all. eBay, Inc. seeks Data Science - Analyst 2 in Bellevue, WA.

Responsible for generating smart solutions to drive traffic to eBay and improve the Customer Experience based on state-of-the-art machine learning and deep learning algorithms.
Work on cutting edge Generative AI solutions, analyze some of the largest eCommerce datasets, roll your solutions to production and measure the impact.
Work internally with Core AI Teams to build and analyze POCs to determine and prioritize Gen-AI requirements.
Sign-off from stakeholders on POCs and coordinate the development of large-scale AI algorithms.
Partner closely in cross-team collaborations to get AI models on production working as expected.
Carefully collect and train large scale datasets to fine tune and evaluate different GenAI base models and conduct and coordinate AB tests accordingly.
Drive end-to-end solutions using AI, Big Data Tools, ML and Analytics/Statistics methods and onboard them on the AI platform.

Master's degree or foreign equivalent in Computer Science, Engineering, or a closely related field.
Deploying and analyzing model results on production via A/B testing.
Building and deploying AI/ML models.
Programming skills (Scala, Java, or Python).
SQL skills.
Mathematical background in statistics/ML.
Experience in AI using at least one of its standard AI/ML tools and its libraries for predictive modeling (eg in R/Python/spark-ML/Pytorch/TensorFlow).
Big Data Platforms (Hadoop, Spark or Hive).

Full range of medical benefits.
Financial benefits including 401(k) eligibility.
Various paid time off benefits, such as PTO and parental leave.
Target bonus and restricted stock units (as applicable).

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