Sr. Data Scientist - Marketplace, Ad Platforms

Key Skills

Apache Airflow, Data science techniques, Leadership Skill, Machine learning techniques, Python Programming, SQL

Job Description

Our platforms are highly performant, deployed at scale, and set new standards for enabling effective advertising while protecting user privacy. The Ad Platforms Data Insights team is seeking a Senior Data Scientist to join in developing the next generation of analytical solutions in collaboration with Engineering, Product, Sales, Marketing, and Finance.

In this role you'll work as a key member of a data-centric team to drive the exploration, analysis, development, execution, and measurement solutions that are critical to running and growing the Ads marketplace.

Responsibilities include turning the huge amounts of data generated by user searches, app content, and App Store context into business insights. Insights, that'll improve the customer experience for the end-user as well as drive discovery and efficiency for app developers. You'll dig in and get into the details.

The theory behind the techniques are just the beginning. You'll be working on projects where practical applications get applied to real-world scenarios. Successful analytics teams involve data scientists and data engineers working hand in hand to build insightful and efficient solutions. In your role, you will be a key player in a multi-functional team that delivers insights that have direct and measurable impact.

Minimum Qualifications

• 6+ years of relevant experience in a data science role
• Programming skills in Python and SQL, and familiarity with machine learning, statistical and causal inferences packages such as scikit-learn, xgboost, PyTorch, SciPy
• Demonstrated experience in applying statistics and machine learning to generate clear actionable insights
• Comfortable with a variety of data stores such as Hadoop, and Snowflake
• Possess exceptional communication skills to share analyses in a clear and effective manner to technical audiences and executive leadership
• Ability to partner with engineering, meet the data needs of the business, finding creative analytical solutions and develop initial prototypes to address messy business problems
• Ability to operate comfortably and optimally in a fast-paced and constantly evolving environment.

Preferred Qualifications

• Experience in the mobile advertising industry or related field
• Working knowledge of Causal Impact
• Familiarity with job orchestration frameworks such as Airflow
• Ability to build visualizations and enable broader consumption of insights and tools

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $143,100 and $264,200, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.