Data Scientist/Data Engineer

A Little About Us

Yahoo’s portfolio includes top digital destinations like Yahoo Finance, Yahoo Sports, and Yahoo News - reaching hundreds of millions of users globally. Powering those experiences, along with Yahoo’s advertising platforms, are massive, high-performance systems built to scale. Our Search Analytics and Data Science team plays a critical role in optimizing and driving these consumer and advertising products forward.

We sit at the intersection of large-scale data engineering and deep analytical insight, working on one of the largest online advertising and audience datasets in the world. Our work drives product decisions, measurement strategies, and platform evolution. As we modernize our stack and migrate to GCP as our cloud platform, we face exciting and complex data challenges - and we’re looking for a Data Scientist / Data Engineer who can truly work across both worlds.

What You'll Be Doing:

This is a true hybrid role - blending data science, engineering, and business analytics. Your responsibilities will include:

• Extract, clean, and structure data from complex systems, often incomplete and inconsistent in nature, using SQL and Python - understanding not just what data you’re pulling, but how and why.

• Design and maintain scalable, automated pipelines and workflows (ETL/ELT), using tools and frameworks like Airflow, PySpark, and other cloud-native frameworks within the GCP ecosystem - supporting both real-time and batch use cases.

• Support our migration from on-prem to GCP cloud platform by improving data workflows, documentation, and tooling.

• Conduct exploratory data analysis (EDA) to surface trends, anomalies, and patterns - with attention to detail in data aggregation, time series, and metric accuracy.

• Build and test predictive/statistical models and help product and business teams apply them meaningfully.

• Translate your insights into clear, actionable recommendations - helping shape strategy and improve performance across Yahoo Search.

• Partner closely with engineers, product managers, and analysts to solve cross-functional problems using data.
   

What We’re Looking For:

• 3–6 years of hands-on experience in data science, analytics, and data engineering roles, preferably in product or digital platforms.

• Know how to write complex SQL, extract your own data, and understand how to verify its accuracy and structure before analyzing it.

• Can confidently build and maintain data pipelines, organize messy data, and optimize systems using modern tools (e.g., Airflow, dbt, Spark, Redshift, BigQuery).

• Are skilled in Python (and optionally R) for analysis, automation, and lightweight modeling.

• Have experience with GCP cloud-based infrastructure (especially GCP/BigQuery or AWS/Redshift/S3).

• Understand how to draw insights from your analysis and communicate them clearly — not just showing data, but knowing what to say about it.

• Have working knowledge of product and web analytics, A/B testing principles, and business metric interpretation.

• Communicate well in collaborative environments and are comfortable owning projects from extraction through insight delivery.

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.

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