The Apple Media Products Engineering team is one of the most
exciting examples of Apple's long-held passion for combining art
and technology. These are the people who power the App Store, Apple
TV, Apple Music, Apple Podcasts, and Apple Books. And they do it on
a massive scale, meeting Apple's high expectations with high
performance to deliver a huge variety of entertainment in over 35
languages to more than 150 countries.
These engineers build secure, end-to-end solutions. They develop
the custom software used to process all the creative work, the
tools that providers use to deliver that media, all the server-side
systems, and the APIs for many Apple services.
Thanks to Apple's unique integration of hardware, software, and
services, engineers here partner to get behind a single unified
vision. That vision always includes a deep commitment to
Although services are a bigger part of Apple's business than ever
before, these teams remain small, nimble, and cross-functional,
offering greater exposure to the array of opportunities here.
- At least 8 years in a Data Science managerial role
- Excellent communication, collaboration and planning skills;
ability to understand and anticipate the decisions partners must
make supported by data.
- Must have the ability to write code to query and transform both
unstructured and structured data-acting as a mentor to your team in
- Ability to produce and communicate data insights that translate
into significant business impact.
- Deep understanding of statistical theory and applications.
Practical experience working with and conducting experiments on
- Experience in advanced quantitative analysis including
regression, classification, clustering, and time series
- Programming skills in Python, Java/Scala, and SQL, and comfort
with analytics tools such as R, Spark, and/or Tableau. Solid
understanding of Hadoop, ETL processes and distributed computing
- Ability to communicate the results of analyses in a clear and
effective manner with product and leadership teams to influence the
overall strategy of the product.
- Prior experience analyzing search features utilizing online
metrics and offline human relevance judgment is strongly
Are you driven to achieve and go above and beyond?
Our team is seeking a passionate leader to lead experimentation
projects, analytics and data science. You will lead a team of data
scientists responsible for designing experiments, conducting
analysis and guiding improvements to our tools responsible for
enabling experimentation across a diverse set of features -
including recommendations, search and on-boarding funnels.
In this role you will design and evaluate experiments for
algorithmic improvements, design and layout changes, marketing
initiatives, increased cohort usage, growth and subscriber
retention. Empower and mentor a team by ensuring that roles and
responsibilities are clearly communicated, the strategic vision for
the function is defined and shared, processes are established, and
personal development plans are developed is a must.
You will work with engineers to scale up our reporting
capabilities by automating and developing pipelines to execute and
analyze KPIs on an hourly/daily basis and will engage the business
intelligence team to collaborate on reporting that includes
business relevant initiatives and metrics.
This position involves quantifying the impact of feature and
model changes to the product. This team harnesses analytics and
visualization of data to help understand how customers engage with
our apps. Working with peer data science teams, you will develop
standard methodologies and common datasets while analyzing usage
behavior for large scale trends and patterns.
Education & Experience
Ph.D. or Masters in a quantitative field such as Statistics,
Computer Science, or Applied Mathematics.