Data Scientist

작업 내용

It takes powerful technology to connect our brands and partners with an audience of nearly 900 million. Whether you’re looking to write mobile app code, engineer the servers behind our massive ad tech stacks, or develop algorithms to help us process trillions of data points a day, what you do here will have a huge impact on our business—and the world. Want in?

Data Scientist

A Little About Us

Yahoo! is a global company that provides media and web services in many countries. In Yahoo!, our mission is to Build Brands People Love. Not only our brands but our clients’ brands, too. Whenever we go into client meetings, we call out and focus on the “YOURS” on this slide.

The Data Product Engineering team, a subdivision of E-Commerce Product Engineering, TW. Our mission is to create value out of audience, transaction, and advertising data by building an analytic data foundation, generating actionable business insights, and identifying new business opportunities that improve our user/partner/advertiser’s experiences and grow our business.

A Lot About You

A data scientist is expected to work with our data engineers to apply scientific thinking and techniques to improve the performance and effectiveness of our products, as well as retrieval system engineering. You might also need to perform metrics analysis for further model enhancement and develop the model with experiments and evaluations to demonstrate the algorithm. You will have the opportunity to publish your work and expand the horizons of web science and the experience of building online systems.

You will provide scientific strategy, development, execution, and innovation across specific engagements. The role is expected to work in close collaboration with business units, engineers, and analysts. The ideal candidate would have a strong understanding of the machine learning or deep learning ecosystem while also having a solid understanding of creative executions and ideation. Also, experience interfacing with mid/high-level clients is a must.

Your Day

• Develop models and solutions to enhance user experience and benefit revenue
• Identify model characteristics and establish performance enhancement plans
• Research in the signals from Yahoo media and E-commerce data and continued support to all Yahoo Service for E-commerce personalization modules and product modules offerings
• Discover and manage the interest signals of users for the needs of corresponding projects
• Deep dive into e-commerce product acknowledge, including image understanding, category enhancement, and non-categorized grouping
• Been seen as a thought pioneer in the space of creative technology by keeping an active pulse on emerging technologies and evangelizing technology
• Ensure every piece of code you put in production is functional and accurate through highly automated monitoring, alerting, and performance tracking solutions.
• Communicate cross-team dependency issues quickly and follows up to ensure prompt resolution
• Responsible for working with relevant customer groups to inject innovation into business processes, create feature backlogs and related user stories
• Ability to work on multiple streams/features simultaneously, keep momentum on each, and manage client expectations
  
  

You Must Have

• Strong passion to deliver data insights and data services by leveraging scalable machine learning and data processing platforms.
• Experience in statistical modeling, feature engineering, data mining, and machine learning algorithms in computer vision, NLP
• Familiar with deep learning algorithms, such as CNN, RNN, and graph-based models
• Experience in data mining or any machine learning tools like Pandas, Tensorflow, Pytorch, Scikit-learn, XGBoost, Jupyter notebook, etc.
• Fluency in Python
• Linux/Unix experience
• It’s a plus to have experience in the Big Data ecosystem such as Hadoop, Hive, Presto
• It’s a plus to have experience in recommendation engines, user behavior modeling, and revenue optimization.
• Experience in running GPU accelerated deep learning workloads is a plus
• Experienced in Java, and SQL language is a plus.
• Experienced in traditional SQL(MySQL, Postgres, ...) databases and NoSQL databases (Cassandra, HBase, ...) is a plus.
• Experience in streaming data process(Spark, Flink) is a plus
• Experience with data pipelines, ETLs, and workflow management systems such as Airflow, Oozie, and Trinity is a plus
• BS or MS in Computer Science or other related fields
  
  

Yahoo is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. Yahoo is dedicated to providing an accessible environment for all candidates during the application process and for employees during their employment. If you need accessibility assistance and/or a reasonable accommodation due to a disability, please submit a request via the Accommodation Request Form (www.yahooinc.com/careers/contact-us.html) or call 408-336-1409. Requests and calls received for non-disability related issues, such as following up on an application, will not receive a response.

US Only: Please be aware that Yahoo requires all employees entering a U.S. Yahoo office and/or attending a company event (including client events) are required to be vaccinated for COVID-19. This position will require the successful candidate to obtain and show proof of a vaccination to enter a U.S. Yahoo office and/or attending a company event (including client events). Yahoo is an equal opportunity employer, and will provide reasonable accommodation to those individuals who are unable to be vaccinated consistent with federal, state, and local law.

Currently work for Yahoo? Please apply on our internal career site.