Manager, Machine Learning– Advanced Analytics Team, Worldwide Business Process Re-Engineering

Key Skills

Algorithms, Analytical and Problem solving, Effective communication skills, Large Language Models - LLMs, Leadership Skill, Machine learning techniques, Natural Language Processing (NLP), Supply Chain Management

Job Description

Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.

The WW Sales and Operations Advanced Analytics team is looking for an experienced, dynamic, highly motivated Machine Learning Manager with deep passion for analytical solutions that have direct and measurable impact to Apple and its customers.

Key Qualifications

• Experience leading high performing teams and working with senior stakeholders.
• Experience understanding key performance levers and metrics to highlight operational issues and drive improvement. Proven history of guiding the team in designing, developing and deploying analytical solutions at scale
• Practical experience solving real world problems and understanding of predictive modeling and algorithms (eg: anomaly detection, NLP, LLM, CVML). Expert practical knowledge of algorithms, strong sense of levers impacting ML accuracy and ability to gain trust with stakeholders and exec leadership
• Innate curiosity and bias for action with expert ability to identify, define and execute project plans and develop modeling approaches suitable for the problem
• Self-sufficient with an ability to thrive in an environment of autonomy amidst ambiguity.
• Capability to bring global cross functional team along, Strong critical thinking and problem solving ability
• Sound communication skills - adept at messaging domain and technical content, at a level appropriate for the audience.
• Phenomenal team player - invested in the collective success of the team and project outcomes

At Apple, the increasing supply chain complexity and scale presents unique challenges to traditional analytics techniques. You will be leading a team of experts responsible for designing and developing advanced data science solutions from strategic to executional decision-making. Key responsibilities include:

Lead and grow a team of highly skilled data scientists providing guidance, mentorship and support. Ability to recognize, attract and develop talent. Expert ability to dive deep with the team to solve complex challenges

Architect/Collaborate with data engineers on data strategy and infrastructure partners to implement robust, scalable solutions and operationalize models for seamless integration into processes and applications. Guide partner teams to enable data science infra from experimentation to deployment

Communicate results of analyses and models to partners and senior leaders. Influence decision making with exec leadership

Innovate and foster an environment of learning and development. String ability to maintain a focus on simplicity while handling complex challenges

Engage with global business leaders to identify high ROI opportunities, understand requirements, translate those requirements into technical solutions and drive critical projects

Own and Drive key cross functional initiatives across Operations

Education & Experience

PhD/MS in Computer Science, Statistics, Applied Math or a related field and 12+ years of industry experience

Proven track record of 6+ years managing & developing a high-performing data science/ML team

Expert in machine learning and data science. Proficient in tooling and not afraid to roll up your sleeves to get in the weeds with your team where needed

Highly analytical with excellent leadership and interpersonal skills to engage meaningfully with senior/exec leaders.

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 $210,900.00 and $316,900.00, 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.