Apple
Sr. Data Scientist, Controlled Experimentation
Apple, California, Missouri, United States, 65018
Culver City, California, United States Software and Services
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. 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 Apples 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 Apples Employee Stock Purchase Plan. Youll 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 . #J-18808-Ljbffr
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. 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 Apples 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 Apples Employee Stock Purchase Plan. Youll 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 . #J-18808-Ljbffr