Machine Learning Data Scientist - Core Insights, Apple Ads

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.\\n\\nOur 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

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

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