Experienced Full Stack Data Scientist – Machine Learning and Data Analysis for Business Growth and Innovation

About Us At Apple, we believe in the transformative power of innovation to improve people's lives. Our mission is to create technologies that connect people, communities, and the world at large. From our advertising platforms to our services, we strive to make a positive impact on both our customers and partners – helping people find what they're looking for, supporting creators, and fostering trust and security for everyone. Our advancements in the Application Store, Apple News, Stocks, and Apple TV enable developers and publishers of all sizes to drive app discovery across the App Store. Our show ads on Apple News and Stocks allow advertisers to reach their target audiences in a brand-safe environment, while supporting publishers and journalists. Sponsorship deals and experiences in live games on Apple TV help advertisers connect with engaged audiences. At Apple, we're committed to security and transparency, because while advertising is a vital part of our business, it benefits everyone. About the Role The Advancement Stages Data Pieces of information team is seeking a highly skilled ML Data Scientist to join the Thing and Client Assessment Group. This team is passionate about cultivating the next generation of analytical solutions working with Arrangements, Advancing, Cash, Thing, and Planning. As a key member of this data-driven team, you will drive the examination, assessment, development, execution, and evaluation of analytical plans that are critical for maintaining the business. Your responsibilities will include turning vast amounts of data generated by client searches, application content, and App Store settings into business insights that enhance the client experience for the end-user as well as drive discovery and adoption for app developers. Key Responsibilities Experience in a data science role – preferably in the modernized advertising industry or possibly product assessment with hands-on experience working with clickstream data as well as A/B experimentation. Ability to work collaboratively and successfully in a fast-paced, highly cross-functional, and constantly evolving environment. Programming skills in Python and SQL, and experience with AWS, Snowflake, Glimmer, and Scene. Ability to communicate the results of assessments in a clear and convincing manner with product and drive teams to influence the overall approach of the product. Ability to work closely with planning teams to meet the data needs of the business, translating business needs into technical requirements. Experience in current quantitative analysis including regression, clustering, and time-series analysis. Open to working with modern data innovations. Experience with data base showing and data warehousing principles. Practical knowledge in coordinating tests on massive datasets. About You A successful candidate will have significant experience with applied methods (insightful showing, clustering, thing incorporate impact assessment), experience building informative dashboards, and using those systems and instruments to drive key business insights. The role requires both a deep understanding of existing data mining, significant solid areas for computations for business, and creative thinking to design and re-try when necessary. You will collaborate with a wide range of data specialists as well as business leaders, focusing on projects where gadgets and strategies are used to drive real business impact. About Our Team Our assessment teams consist of data specialists and data engineers working together to build enlightening and useful solutions. As a key member of this team, you will be a central figure in a multi-functional team that delivers insights that make quick and quantifiable differences. We're looking for an inquisitive, helpful, and persistent individual to join this exciting team. Guidance and Experience We're seeking a candidate with a degree in computer programming, science, or a similar quantitative field, with at least 2 years of relevant experience. Postgraduate degrees in these fields are also an asset. What We Offer As a member of our team, you can expect a dynamic and supportive work environment, opportunities for growth and development, and a competitive compensation package. We offer a range of benefits, including: A competitive salary range of $20-30/hour. A comprehensive benefits package, including health insurance, retirement savings, and paid time off. Opportunities for professional growth and development, including training and education programs. A dynamic and supportive work environment, with a focus on collaboration and teamwork. How to Apply If you're a motivated and talented individual with a passion for data science and business growth, we encourage you to apply for this exciting opportunity. Please visit our website to learn more about the role and submit your application.