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

About Apple and the Role

At Apple, we believe in the transformative power of innovation to improve people's lives. Everything we create is designed to empower individuals, including our advertising platform. We craft ads that benefit both users and advertisers – helping people find content, supporting creators, and safeguarding and respecting everyone's privacy. Our innovation enables advertising on the App Store, Apple News, Stocks, and Apple TV. We help developers and advertisers of all sizes drive app discovery across the App Store. Our presentation ads on Apple News and Stocks let sponsors promote their products alongside trusted brands in a brand-safe environment, while supporting publishers and writers. Sponsorship integrations and experiences in live games on Apple TV help advertisers connect with engaged audiences. Everything we do is guided by the unwavering commitment to privacy you expect from Apple. Because when advertising is done well, it benefits everyone.

About the Job

The Advertising Platforms Information Experiences team is seeking a Machine Learning Data Scientist to join the Product and Customer Insights Group. The team is passionate about developing the next generation of analytical solutions working with Sales, Advertising, Finance, Product, and Designing. In this role, you will serve as a critical member of a data-driven team to drive the investigation, analysis, development, deployment, and evaluation of analytical solutions that are critical to driving business growth. Responsibilities include turning vast amounts of data generated by user searches, app content, and App Store settings into business insights that improve the user experience for the end-user as well as drive discovery and efficiency for app developers.

Key Responsibilities

• Experience in an analytics role – ideally in the digital advertising industry or product analysis with hands-on experience working with clickstream data or A/B testing.
• Ability to work seamlessly and effectively in a fast-paced, highly cross-functional, and continually evolving environment.
• Programming skills in Python and SQL, and experience with AWS, Snowflake, Tableau, and Power BI.
• Ability to convey the results of analyses in a clear and actionable way with product and service teams to inform the overall strategy of the product.
• Ability to work closely with design partners to meet the data needs of the business, translating business needs into analytical requirements.
• Experience in complex quantitative analysis including regression, clustering, segmentation, and time-series analysis.
• Open to working with current data technologies. Knowledge of database modeling and data warehousing principles.
• Practical experience with conducting experiments on large datasets.

About You

A successful candidate will have extensive experience in applied methods (predictive modeling, clustering, feature influence estimation), experience building reporting dashboards, and utilizing those techniques and tools to drive key business insights. The role requires both a broad understanding of existing data mining, competitive strengths for business, and imagination to develop and adapt when necessary. Collaborate with a wide range of data experts as well as business leaders, focusing on projects where tools and techniques are used to drive tangible business value. Successful analysis teams include data scientists and data engineers working closely together to build informative and efficient solutions. In your role, you will be a key participant in a multi-functional team that delivers insights that have direct and quantifiable impact. We're looking for a curious, collaborative, and diligent individual to join this exceptional team.

Education and Experience

A foundation in computer science, mathematics, or a related quantitative field with at least 6 years of professional experience. Advanced degrees in these fields are an asset.

Career Growth Opportunities and Learning Benefits

At Apple, we believe in the importance of continuous learning and professional growth. As a Machine Learning Data Scientist, you will have the opportunity to work with a diverse range of data experts and business leaders, collaborating on projects that drive tangible business value. You will also have access to a wide range of training and development opportunities, including workshops, conferences, and online courses. Our goal is to help you develop the skills and expertise you need to succeed in your role and advance your career.

Work Environment and Company Culture

Apple is a dynamic and innovative company that values creativity, collaboration, and continuous learning. Our work environment is fast-paced and highly cross-functional, with a focus on delivering high-quality results in a timely manner. We are committed to diversity, equity, and inclusion, and strive to create a workplace that is welcoming and inclusive for all employees. Our company culture is built on a set of core values that include innovation, customer focus, and teamwork.

Compensation, Perks, and Benefits

As a Machine Learning Data Scientist at Apple, you can expect a competitive salary and benefits package, including: * A salary of $24/hour * Comprehensive health insurance * Retirement savings plan * Paid time off and holidays * Access to a wide range of training and development opportunities * A dynamic and innovative work environment * The opportunity to work with a diverse range of data experts and business leaders * A commitment to diversity, equity, and inclusion

How to Apply

If you are a motivated and experienced data scientist looking for a new challenge, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your qualifications and experience. We look forward to hearing from you! Apply for this job