Yahoo Holdings Inc. in is hiring: Senior Data Scientist - Yahoo News - Recommend

Senior Data Scientist - Yahoo News - Recommendations and Rankings (Finance)

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 is a global media and tech company that connects people to their passions. We reach roughly 700M people around the world, bringing them closer to what they love—from finance and sports to shopping, gaming, and news—with the trusted products, content, and tech that fuel their day.

Our team is the driving force behind experimental analysis, data science, and business intelligence for Yahoo News. We thrive on data and insights to craft outstanding product and content experiences. Our commitment is towards providing data-driven guidance that fuels user growth and product innovation, maintaining high-quality data standards, and devising insightful A/B tests and advanced analyses.

A Lot About You

As a Data Scientist for Yahoo News, you will collaborate with product managers and engineers to enhance the content recommendation system that powers personalized content discovery across the site. You will focus on designing strategic research projects, utilizing your expertise in experimentation design and analytics, and storytelling around data to drive strategic insights and results. The ideal candidate will have a strong data science background, with experience in user retention and growth strategies, and a passion for creating exceptional user experiences at large scale.

Your Day-to-Day:

• Work with ML product and engineering teams to frame business challenges into data-analyzable questions, define and implement new recommendation metrics, devise analysis strategies, and translate findings into actionable insights.
• Strategic decision making based on A/B testing results, diving deep into data to uncover underlying causes, and helping shape our strategy.
• Develop and execute analytics strategies to optimize machine learning models and content ranking algorithms.
• Work with the Product and Engineering teams to define performance metrics that can be understood by stakeholders of all levels.
• Undertake ad-hoc data mining and statistical analysis to unravel user behaviors, engagement levels, and product performance.
• Advocate for and enforce high standards in data logging and instrumentation to ensure data integrity and accuracy.
• Offer guidance on A/B testing, including design and evaluation, to product teams.
• Utilize tools like Big Query and Jupyter Notebooks to extract data, apply statistical methods, and generate insights.
• Craft compelling visualizations in Tableau and Looker Dashboards to communicate findings to stakeholders.

Who You Are:

• A data scientist with experience working on consumer products.
• An analytics leader and storyteller who effectively communicates insights to both technical and non-technical stakeholders.
• Experienced in agile, iterative, and fast-paced experimentation environments, managing multiple projects within a matrixed team.

Your Skills:

• Strong proficiency in scripting languages (e.g., Python) and data querying languages (e.g., SQL).
• Experience with big data technologies (e.g., BigQuery, Spark, DBT) to manipulate and analyze large datasets.
• Strong and proactive communication skills with the ability to present complex findings and vocalize strategic ideas.
• Strong understanding of and experience with LLM integration and expertise in data visualization tools (e.g., Tableau, Looker).
• Hands-on experience with A/B Testing, multivariate testing, and experimentation frameworks.
• Knowledge of basic machine learning techniques, including predictive modeling and clustering.
• Proficiency in statistical methods such as correlation analysis, regression models, design of experiments, and time series analysis.

Nice to Have:

• Familiarity with natural language processing (NLP) and its applications in content understanding.
• Subject matter expertise in the news, entertainment, or lifestyle fields.
• Experience in ad tech.

The material job duties and responsibilities of this role include those listed above as well as adhering to Yahoo policies and exercising sound judgment while working effectively, safely, and inclusively with others.

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. Your recruiter will let you know if a specific job requires regular attendance at a Yahoo office or facility.

Yahoo is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability, or any other protected category.

We believe that a diverse and inclusive workplace strengthens Yahoo and deepens our relationships. Check out our diversity and inclusion page to learn more.

The compensation for this position ranges from $128,250.00 - $266,875.00/yr and will vary depending on factors such as your location, skills, and experience. Our comprehensive benefits include healthcare, a great 401k, backup childcare, education stipends, and much more.