Machine Learning Data Scientist - Predictive Semantics Team, Apple Ads

Apple • Cupertino, CA

1d

About The Position

At Apple, we focus deeply on our customers’ experience. Apple Ads brings this
same approach to advertising, helping people find exactly what they’re looking
for and helping advertisers grow their businesses. Our technology powers ads and
sponsorships across Apple Services, including the App Store, Apple News, and MLS
Season Pass. Everything we do is designed for trust, connection, and impact: We
respect user privacy, integrate advertising thoughtfully into the experience,
and deliver value for advertisers of all sizes—from small app developers to big,
global brands. Because when advertising is done right, it benefits everyone.

The role requires experience in areas such as predictive modeling
(classification and regression), optimization, industrial engineering, demand
forecasting, and time-series forecasting. The ideal candidate will have
demonstrated capability to deploy data science and machine learning models with
large datasets in an industry setting. Deep understanding and ability to compare
predictive models, evaluate their strengths and weaknesses in a particular
context, and interpret and explain model results to a broad group of technical
and non-technical stakeholders are also a plus. Competitive candidates will also
have experience working closely with data engineers to build efficient, scalable
solutions. We are looking for a thoughtful and creative data scientist to join a
team that creatively adapts state-of-the art analytical techniques to real-world
business problems with an approach focused on rapid development, evaluation, and
iterative improvement. Continuous learning is part of the job, both as it
relates to technical skills and within the content and format of advertising
domain

Requirements

• 5+ years of experience in Business Analytics, Data Science, or a related analytical role
• Strong data analysis skills, including the ability to conduct deep dives using statistical methods and data science techniques
• Exceptional communication skills, with the ability to communicate complex analyses clearly to executive and technical audiences
• Demonstrated ability to collaborate with cross-functional partners such as Product, Sales, and Marketing to design experiments and analyses that inform business decisions
• Proficiency in SQL and data visualization, with a strong eye for design and clarity
• Strong programming skills in Python, with experience using libraries such as Pandas, SciPy, and scikit-learn
• Comfortable querying and analyzing large datasets using tools such as SQL, Snowflake, or similar analytical data platforms
• Bachelor’s degree in a related field, or equivalent industry experience

Nice To Haves

• Masters degree or Ph.D. in a quantitative discipline.
• Experience in the digital advertising industry or a related field and/or experience with demand forecasting
• Willingness to learn, both technically and in the domain of the data.
• Familiarity with packages like numpy, pandas, scikit-learn, and prophet
• Familiarity with job orchestration frameworks like git, Airflow, CI/CD, Kubernetes, Docker, Jenkins.
• Experience and/or interest in deep learning, LLMs, and Natural Language Processing.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level