Data Science Analyst 2

eBay-posted 6 months ago

$148,699 - $205,700/Yr

Full-time • Entry Level

Remote • San Jose, CA

Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

Resume

Match Score

Upload and Match ResumeTrack Jobs with Teal

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.

Conduct product analysis and identify opportunities to drive transformative change in the customer experience and result in significant business growth through developing new innovative search experience based on catalog.
Coordinate with Engineering, Product, Business, and Data Science teams to modernize eBay's buyer experience by generating data insights for UI designs, user product flows and backend algorithms.
Design and construct data pipelines to automate the collection, transformation, and storage of diverse data sources, ensuring reliable data availability.
Partner with engineering and tracking team to establish essential tracking for new feature development.
Conduct statistical analyses, prototype models, and analyze A/B tests to optimize user experiences and product performance.
Research, design, and implement advanced machine learning and deep learning models to analyze large datasets, driving data-driven decision-making and strategic business initiatives.
Create clear and actionable data visualizations to support the understanding and execution of strategies.
Identify and pursue innovative product growth opportunities based on data insights, influencing and driving product development and enhancements.
Effectively communicate complex analytical insights to both technical and non-technical stakeholders, fostering alignment and informed decision-making across the organization.

Master's degree, or foreign equivalent, in Data science, Computer Science, Applied Mathematics, Statistics or a related quantitative field.
Process large-scale datasets using Spark, PySpark, and SQL.
A/B testing design and advanced statistical analysis, including hypothesis testing and forecasting.
Create interactive dashboards and communicate insights with data visualization tools like Tableau, Matplotlib, or Plotly.
Design, train, and deploy machine learning and deep neural networks.
Design and fine-tune NLP models (BERT, GPT and T5) for tasks including information extraction, classification and sentiment analysis.
Develop and optimize generative AI models and large language models for content generation.
Multimodal learning techniques to integrate and analyze text, image, and structured data using advanced embedding models.
Design and develop algorithms and software applications using Python or Java.

401(k) eligibility
various paid time off benefits, such as PTO and parental leave

Track Jobs with Teal

Job Search Resources

•

AI Resume Builder

•

Data Analyst Resume Examples

•

Data Analyst Cover Letter Examples

Data Science Analyst 2

Job Search Resources

Tools

Career Hubs

Guides

Company