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Services at Apple help hundreds of millions of customers get the most out of the devices they love through amazing apps, award-winning shows and movies, immersive music in spatial audio, world-class workouts and meditations, super fun games and more. The Apple Services Data Science & Analytics organization is passionate about developing discerning insights and solutions to help continually improve these services and accelerate growth while maintaining a strong dedication to customer privacy.
Description
Apple TV and Apple Music are two of the most widely used subscription services in the world, shaping how hundreds of millions of people watch, listen, and discover content every day. We are looking for a data scientist to join the Revenue and Subscriptions Data Science team and help grow and optimize these businesses through rigorous analysis and scalable analytic solutions. In this role, you will work across the full subscription lifecycle - acquisition, conversion, retention, and engagement - to size opportunities, measure the impact of initiatives, and make data-driven recommendations that shape business strategy. As a key member of our diverse and dynamic organization, you'll have the rare and rewarding opportunity to work with datasets of unique magnitude, richness, and dedication to customer privacy that will frequently require innovative approaches. You'll work collaboratively with partners across Business, Marketing, Product, and Engineering daily to deliver material customer and business value.
","responsibilities":"Conduct deep dives on large-scale datasets to identify key drivers of business health metrics such as user acquisition, conversion, retention, and engagement.
Generate insights and make data-driven recommendations that support decision-making and help optimize overall business performance.
Measure the impact of initiatives for Apple's media subscription businesses by analyzing initiatives spanning user experience improvements, promotional offers, business development partnerships, and more.
Conduct causal inference analysis and analyze the results of A/B tests in order to assess the incrementality of business initiatives.
Partner with Business Intelligence to define metrics, automate recurring reporting deliverables, and create self-service dashboards for key business stakeholders.
Help define engineering, instrumentation, and BI requirements for new datasets and data products to support new feature releases.
Preferred Qualifications
Experience in and/or passion for the media and entertainment industry.
Experience analyzing the performance of subscription businesses and familiarity with subscription lifecycle metrics.
Masters degree or PhD in Computer Science, Statistics, Mathematics, Engineering, Economics or related field.
Minimum Qualifications
5+ years experience extracting insights from large datasets, specifically employing programming languages like Python and SQL.
Demonstrated ability to apply data science techniques to find answers to ambiguous real-world questions in a changing environment and communicate them to stakeholders.
Excellent communication and presentation skills with meticulous attention to detail with the ability to communicate effectively between business and analytics teams.
Comfort working cross-functionally across multiple teams, including both technical and non-technical partners.
Create and deliver presentations to business stakeholders including senior executives.
Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, or related field.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .
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 $163,300 and $245,800, 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.
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Appleについて

Apple
PublicApple Inc. is an American multinational technology company headquartered in Cupertino, California, in Silicon Valley, best known for its consumer electronics, software and online services.
10,001+
従業員数
Cupertino
本社所在地
$3.5T
企業価値
レビュー
3.9
10件のレビュー
ワークライフバランス
2.5
報酬
4.2
企業文化
3.8
キャリア
3.5
経営陣
3.2
72%
友人に勧める
良い点
Great benefits and compensation
Talented colleagues and supportive teams
Learning opportunities and mentorship
改善点
Work-life balance challenges
High stress and pressure
Fast-paced environment
給与レンジ
11,365件のデータ
Junior/L3
L2
L3
L4
L5
L6
M3
M4
M5
M6
Principal/L7
Senior/L5
Staff/L6
Junior/L3 · Data Scientist ICT2
0件のレポート
$121,979
年収総額
基本給
-
ストック
-
ボーナス
-
$103,682
$140,276
面接体験
3件の面接
難易度
3.3
/ 5
期間
28-42週間
内定率
33%
体験
ポジティブ 33%
普通 0%
ネガティブ 67%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
よくある質問
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
ニュース&話題
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