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AIML - Applied ML Researcher, Econometrics & Forecasting
Cupertino, CA
Job Description
Summary
Posted: Apr 19, 2024
Weekly Hours: 40
Role Number:200543212
We are a group of researchers and engineers at the forefront of innovations to improve Apple's business planning through market, sales and supply chain optimizations. Our goal is to drive topline impact and strategic value for Apple - using interdisciplinary innovations. As part of our team you will play a pivotal role to apply econometric, statistical and Machine Learning methods in Apple's product lifecycle across Finance, Sales and Operations, collaborating with world-class domain experts as well as deep-learning researchers. Your diversity of perspectives from economics and statistics enriches the scope and scale of the business success. Does this sound exciting? Come join us!
Key Qualifications
Description
Your contributions will have direct monetary impact on Apple's business by integrating econometrics and causal inference with deep learning models to create explainable and optimized business solutions. We collaborate with outstanding engineers and researches to solve fundamental business problems: Sales Optionality, Demand Forecasting, Supply Chain optimization and Pricing Optimization.
Education & Experience
Ph.D. experience in Statistics, Econometrics, Operation Research, Machine Learning, Mathematics or an equivalent field, or 3+ years of industrial experience in OR, Economic Modeling or Machine Learning.
Additional Requirements
Pay & Benefits
Posted: Apr 19, 2024
Weekly Hours: 40
Role Number:200543212
We are a group of researchers and engineers at the forefront of innovations to improve Apple's business planning through market, sales and supply chain optimizations. Our goal is to drive topline impact and strategic value for Apple - using interdisciplinary innovations. As part of our team you will play a pivotal role to apply econometric, statistical and Machine Learning methods in Apple's product lifecycle across Finance, Sales and Operations, collaborating with world-class domain experts as well as deep-learning researchers. Your diversity of perspectives from economics and statistics enriches the scope and scale of the business success. Does this sound exciting? Come join us!
Key Qualifications
- Demonstrated expertise with proven publication or track record in at least one of the areas: statistics, econometrics, operations research, quantitative marketing, causal inference, time series analysis, stochastic modeling, optimization and decision making theory
- Proficient in Python/R and are familiar with mainstream Machine Learning or statistical frameworks
- Demonstrated expertise in optimization methodologies such as linear programming, reinforcement learning etc.
- Proficient experience in Causal Inference and Economic models in Finance, Retail or Supply Chain areas
- In-depth experience in Deep Learning and explainable ML is a plus
- Strong business intuition, adaptive demeanor, and courage to improve established business process
Description
Your contributions will have direct monetary impact on Apple's business by integrating econometrics and causal inference with deep learning models to create explainable and optimized business solutions. We collaborate with outstanding engineers and researches to solve fundamental business problems: Sales Optionality, Demand Forecasting, Supply Chain optimization and Pricing Optimization.
Education & Experience
Ph.D. experience in Statistics, Econometrics, Operation Research, Machine Learning, Mathematics or an equivalent field, or 3+ years of industrial experience in OR, Economic Modeling or Machine Learning.
Additional Requirements
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 $138,900.00 and $208,300.00, 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 take affirmative action to ensure 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.
Job Summary
Company
Start Date
As soon as possible
Employment Term and Type
Regular, Full Time
Required Education
Doctorate
Required Experience
3+ years
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