Search Data Scientist/Data Engineer

Yahoo serves as a trusted guide for hundreds of millions of people globally, helping them achieve their goals online through our portfolio of iconic products. For advertisers, Yahoo Advertising offers omnichannel solutions and powerful data to engage with our brands and deliver results.

 A Little About Us

Yahoo brands comprise some of the premier destinations on the Internet -- Yahoo, Techcrunch, AOL, and more. This means that we rely on massively scalable, widely distributed, highly performant systems. If you want to help solve complex problems for systems like these, we are looking for you.

Yahoo's Search Analytics and Data Science team works on one of the largest online advertising and audience data sets in the world. We are responsible for delivering fast, clean, and relevant data that powers Yahoo’s consumer and advertising products. Our team sits at the intersection of large-scale data engineering and deep analytical insights, driving measurement, reporting, and business-critical decisions for the Yahoo Search ecosystem. As we modernize our infrastructure and migrate to cloud platforms like AWS and GCP, we face exciting, complex challenges—and we're looking for a skilled Data Scientist/Data Engineer to help us meet them.

In this role, you’ll bring your technical expertise and curiosity to dig deep into large, complex data systems. You’ll own your work end-to-end: from identifying and extracting the right data, building efficient pipelines, performing analysis, and presenting insights that drive product and business decisions. You’ll also ensure accuracy and efficiency of our analytics workflows as we modernize our systems in the cloud.

What You'll Be Doing:

• Lead and conduct exploratory data analysis and investigations across Yahoo’s Search and advertising data sets to uncover trends, patterns, and anomalies.

• Partner with product and engineering teams to understand marketplace behavior, user engagement, and performance drivers—then translate findings into actionable insights.

• Own and execute ad hoc analytical requests, diving deep into data systems to answer complex product and business questions.

• Support and improve the migration of data pipelines from on-premises (Linux/HDFS) to AWS and Google Cloud (GCP), working with principal data engineers and data architects.

• Develop or optimize data infrastructure and workflows to ensure data reliability, scalability, and accessibility for analytical use.

• Build scripts and tools to automate recurring tasks and increase efficiency in data processing and analysis.

• Design, test, and deploy predictive or statistical models using historical data, with a focus on explainability and impact.

• Present analytical findings to the immediate team and product leads; help frame the story and answer stakeholder questions confidently.

What We're Looking For:

• 3-6 years of experience in a Data Engineering, Data Science, or Analytics role.

• Proven ability to pull your own data, work across various data systems, and perform hands-on analysis across complex datasets.

• Strong proficiency in SQL and Python is a must; experience with R, Java, or scripting in Unix/Linux is a plus.

• Comfortable navigating both analytics and engineering workflows — you understand how data is created, stored, and consumed.

• Experience working with cloud-based infrastructure, especially GCP (BigQuery) and AWS (Redshift, S3, etc.).

• Familiarity with big data technologies such as Spark, Hive, Hadoop, MapReduce.

• Demonstrated ability to automate data tasks, improve workflows, and increase efficiency in analytics pipelines.

• Experience with web and product analytics tools (Google Analytics, Amplitude, internal tracking systems, etc.).

• Strong communication skills — able to explain technical results to non-technical audiences and work cross-functionally with engineering, product, and business teams.

• Comfortable working independently with a hands-off management style, but open to feedback and collaboration when needed. 

The material job duties and responsibilities of this role include those listed above as well as adhering to Yahoo policies; exercising sound judgment; working effectively, safely and inclusively with others; exhibiting trustworthiness and meeting expectations; and safeguarding business operations and brand integrity.

At Yahoo, we offer flexible hybrid work options that our employees love! While most roles don’t require regular office attendance, you may occasionally be asked to attend in-person events or team sessions. You’ll always get notice to make arrangements. Your recruiter will let you know if a specific job requires regular attendance at a Yahoo office or facility. If you have any questions about how this applies to the role, just ask the recruiter!

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 will consider for employment qualified applicants with criminal histories in a manner consistent with applicable law. 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 +1.866.772.3182. Requests and calls received for non-disability related issues, such as following up on an application, will not receive a response.

We believe that a diverse and inclusive workplace strengthens Yahoo and deepens our relationships. When you support everyone to be their best selves, they spark discovery, innovation and creativity. Among other efforts, our 11 employee resource groups (ERGs) enhance a culture of belonging with programs, events and fellowship that help educate, support and create a workplace where all feel welcome. Check out our diversity and inclusion (www.yahooinc.com/diversity/) page to learn more.

The compensation for this position ranges from $120,750.00 - $251,250.00/yr and will vary depending on factors such as your location, skills and experience.The compensation package may also include incentive compensation opportunities in the form of discretionary annual bonus or commissions. Our comprehensive benefits include healthcare, a great 401k, backup childcare, education stipends and much (much) more.

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