Senior AI Data Scientist & Machine Learning Developer, WW CSO
SummaryPosted: Weekly Hours: 40 Role Number:200532556Imagine what you could do here. The people here at Apple don't just create products they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it.
Apple's WW Channel Strategy & Operations (CSO) organization focuses on developing and deploying worldwide sales programs and best practices to deliver an extraordinary customer experience in the channel and drive Apple Channel sales. With deep functional expertise in digital, physical, and people enablement spaces, our WW CSO team closely collaborates with many cross-functional groups at world-wide and regional levels.
We are seeking an experienced AI Data Scientist & Machine Learning Developer to drive the development of our AI-driven Analytics & Decision Support Platform. In this role, you will leverage your deep expertise in developing different ML algorithms to solve real-world business challenges and accelerate operations. This includes designing and executing the best algorithmic solutions to automate and optimize operational decisions across digital, store, and people programs for all global route-to-markets. You will partner cross-functionally and multi-directionally with a variety of stakeholders to lead AI modeling initiatives, from ideation to development to post-launch improvements. As new technologies emerge, your business acumen and influence will revolutionize how our channel teams use AI and data to make decisions.Key Qualifications10
years experience in building highly scalable, compliant, and secure, enterprise-grade data and analytics platforms with robust data quality, data governance, data discovery, catalog, and visualization capabilitiesOutstanding communication and presentation skills, including the ability to convey technical and mathematical concepts and considerations to non-experts.Practical experience with theoretical understanding of algorithms for classification, regression, clustering, and anomaly detectionWorking knowledge of relational databases, including SQL, and large-scale distributed systems such as Hadoop and SparkAbility to implement data science pipelines and applications in a general programming language such as Python, Scala, or JavaAbility to comprehend and debug complex systems integrations spanning toolchains and teamsAbility to extract meaningful business insights from data and identify the stories behind the patternsCreativity to engineer novel features and signals, and to push beyond current tools and approachesDescriptionIn this role, you will:
- Engage with business partners to find opportunities, understand requirements, and translate those requirements into technical solutions
- Design data science/machine learning approach, applying tried-and-true techniques or developing custom algorithms as needed by the business use case
- Collaborate with data engineers, platform architects, software developers, data scientists/economists, and product managers to implement robust production real-time and batch decisioning solutions
- Ensure operational and business metric health by monitoring production decision points
- Investigate adversarial trends, identify behavior patterns, and adjust algorithms with agile logic
- Communicate results of analyses to business partners and executives
- Research new technologies and methods across AI models, data science, data engineering, and data visualization to improve the technical capabilities of the teamsEducation & Experience- Ph.D. in Computer Science, Machine Learning, Statistics, Operations Research or related field; or
- Ph.D. in Math, Engineering, Economics, or hard science with data science fellowship; or
- M.S. in related field with 5
years of experience applying machine learning engineering to real-world businessPay & BenefitsAt 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 $199,800.00 and $300,200.00, 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.Estimated Salary: $20 to $28 per hour based on qualifications.
Apple's WW Channel Strategy & Operations (CSO) organization focuses on developing and deploying worldwide sales programs and best practices to deliver an extraordinary customer experience in the channel and drive Apple Channel sales. With deep functional expertise in digital, physical, and people enablement spaces, our WW CSO team closely collaborates with many cross-functional groups at world-wide and regional levels.
We are seeking an experienced AI Data Scientist & Machine Learning Developer to drive the development of our AI-driven Analytics & Decision Support Platform. In this role, you will leverage your deep expertise in developing different ML algorithms to solve real-world business challenges and accelerate operations. This includes designing and executing the best algorithmic solutions to automate and optimize operational decisions across digital, store, and people programs for all global route-to-markets. You will partner cross-functionally and multi-directionally with a variety of stakeholders to lead AI modeling initiatives, from ideation to development to post-launch improvements. As new technologies emerge, your business acumen and influence will revolutionize how our channel teams use AI and data to make decisions.Key Qualifications10
years experience in building highly scalable, compliant, and secure, enterprise-grade data and analytics platforms with robust data quality, data governance, data discovery, catalog, and visualization capabilitiesOutstanding communication and presentation skills, including the ability to convey technical and mathematical concepts and considerations to non-experts.Practical experience with theoretical understanding of algorithms for classification, regression, clustering, and anomaly detectionWorking knowledge of relational databases, including SQL, and large-scale distributed systems such as Hadoop and SparkAbility to implement data science pipelines and applications in a general programming language such as Python, Scala, or JavaAbility to comprehend and debug complex systems integrations spanning toolchains and teamsAbility to extract meaningful business insights from data and identify the stories behind the patternsCreativity to engineer novel features and signals, and to push beyond current tools and approachesDescriptionIn this role, you will:
- Engage with business partners to find opportunities, understand requirements, and translate those requirements into technical solutions
- Design data science/machine learning approach, applying tried-and-true techniques or developing custom algorithms as needed by the business use case
- Collaborate with data engineers, platform architects, software developers, data scientists/economists, and product managers to implement robust production real-time and batch decisioning solutions
- Ensure operational and business metric health by monitoring production decision points
- Investigate adversarial trends, identify behavior patterns, and adjust algorithms with agile logic
- Communicate results of analyses to business partners and executives
- Research new technologies and methods across AI models, data science, data engineering, and data visualization to improve the technical capabilities of the teamsEducation & Experience- Ph.D. in Computer Science, Machine Learning, Statistics, Operations Research or related field; or
- Ph.D. in Math, Engineering, Economics, or hard science with data science fellowship; or
- M.S. in related field with 5
years of experience applying machine learning engineering to real-world businessPay & BenefitsAt 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 $199,800.00 and $300,200.00, 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.Estimated Salary: $20 to $28 per hour based on qualifications.
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