Machine Learning Data Scientist - Core Insights, Apple Ads

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
• 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, * 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.

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.