Overview
On Site
USD 163,300.00 - 290,100.00 per year
Full Time
Skills
Data Science
FOCUS
Conversion Optimization
Product Development
Spectrum
A/B Testing
Analytics
User Experience
Customer Experience
Management
Testing
Optimization
Data Mining
SQL
Scala
PySpark
Python
R
Statistics
Applied Mathematics
Collaboration
Communication
Presentations
Statistical Models
Machine Learning (ML)
Git
Version Control
Java
C++
Programming Languages
Payments
Job Details
The applications data science team is looking for a seasoned data scientist who will focus on experimentation and exploratory analysis, specifically in the areas of conversion optimization and feature usage behavior. We support user growth of subscription services, product development and optimization, covering a wide area of the data spectrum including A/B Testing, causal inference and analytics.
Description Work on initiatives to improve user experience and drive growth - Partner closely with engineering, product and machine learning teams. Work falls broadly into three areas: Experimentation: Improve quality of experimentation, hypothesis generation, statistical techniques, rare event detection and underlying infrastructure. Optimization: Hyper parameter optimization, exploratory and ad-hoc analysis to improve customer experience. Advisory: Cut through the noise in data, identify key findings and distill recommendations for engineering, product and business owners.
Minimum Qualifications
Preferred Qualifications
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 $290,100, 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.
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 .
Description Work on initiatives to improve user experience and drive growth - Partner closely with engineering, product and machine learning teams. Work falls broadly into three areas: Experimentation: Improve quality of experimentation, hypothesis generation, statistical techniques, rare event detection and underlying infrastructure. Optimization: Hyper parameter optimization, exploratory and ad-hoc analysis to improve customer experience. Advisory: Cut through the noise in data, identify key findings and distill recommendations for engineering, product and business owners.
Minimum Qualifications
- At least 5 years of industry experience managing Controlled Experimentation.
- At least 3 years of industry experience with the following:
- - Experiment design and hypothesis testing.
- - Applied Statistics with Experimentation Optimization techniques.
- - Variance Reduction and Rare Event detection.
- - Data mining skills with SQL, Scala, and PySpark.
- - Python or R
- Masters or PhD in Statistics, Engineering, Applied Mathematics, or a related academic field.
- Exposure to consumer technology.
- Demonstrate a strong product acumen.
- Ability to collaborate with cross functional teams, ranging from engineering and product to business.
- Adept at structuring and solving complex open ended problems.
- Strong communication skill with experience in driving executive presentations.
Preferred Qualifications
- Statistical Modeling and Machine Learning.
- Anomaly detection and causal inference model.
- Use of git for version control.
- Java or C++ programming languages.
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 $290,100, 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.
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 .
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.