Senior Data Scientist for iCloud Data - Shaping the Future of Apple's Cloud-Centric Products and Experiences

Unlock the Power of Data at Apple with Workwarp Are you a seasoned data scientist with a passion for driving innovation and informing strategic decisions with data-driven insights? Do you want to be part of a team that is revolutionizing the way Apple develops and delivers its cloud-centric products and experiences? Look no further! Workwarp is seeking an exceptional Senior Data Scientist to join Apple's ASE (Apple Services Engineering) iCloud Data organization, where you'll have the opportunity to make a significant impact on the future of Apple's products and services. About Apple Services Engineering (ASE) and iCloud Data The Apple Services Engineering (ASE) organization is the driving force behind the development and innovation of Apple's cloud-centric products and experiences, including iCloud+, Photos, Mail, Messages, FaceTime, Calendar, Notes, and more. As a Senior Data Scientist in the ASE iCloud Data organization, you'll be part of a multi-disciplinary data team that partners closely with product, engineering, and business teams to develop a culture of leveraging data to inform and craft Apple's strategy. Key Responsibilities Communicate Technical Concepts to Senior Leadership: Distill complex technical concepts into actionable insights that inform senior leadership's decisions, driving better, more data-informed decision-making across the organization. Craft the Narrative for iCloud Performance: Identify and elevate key insights, and develop scalable approaches for summarizing complex results into an accessible format, ensuring that stakeholders across the organization are aligned and informed. Collaborate with Cross-Functional Teams: Partner with Data Engineering and other stakeholders to define metrics, instrumentation, and data requirements that drive business outcomes and inform product decisions. Extract Insights from Complex Data: Extract information from structured and unstructured data, using statistical and machine learning techniques to identify key areas of opportunity and new questions to pursue. Design and Analyze Experiments: Plan, design, and analyze A/B tests and experiment results, driving data-driven decision-making and informing product development. Build Predictive Models: Develop models to forecast growth, capacity requirements, and other key business metrics, ensuring that the organization is equipped to meet the demands of a rapidly evolving market. Essential Qualifications 5+ Years of Experience in Analytics or Data Science: A proven track record of driving business outcomes with data-driven insights, and a deep understanding of statistical and machine learning techniques. Excellent Communication Skills: The ability to communicate technical concepts to senior executive audiences, influencing decisions with data and driving business outcomes. Statistical and Analytical Expertise: A strong understanding of statistical distributions, and the ability to apply statistical and machine learning techniques to complex data sets. Data Visualization and Communication: The ability to visually communicate complex information in a clear and concise manner, using tools like Tableau, Superset, or ggplot. Technical Skills: Proficiency in SQL, and at least one programming language (e.g., Python, R, Scala), with experience working in a team environment using tools like git, notebooks, and testing. Curiosity and Creative Problem-Solving: A self-motivated and curious individual with proven creative and critical thinking capabilities, and a highly developed aim to improve how things work. Preferred Qualifications Advanced Degree: A Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, Economics, or Physics. Experience with Big Data: Experience working with massive and complex datasets, using tools like Hive, Spark, or Druid. What We Offer At Apple, we're committed to creating an environment that supports the well-being and success of our employees. As a Senior Data Scientist at Workwarp, you'll have access to a range of benefits and perks, including: Competitive Compensation: A salary range of $175,800 to $312,200, depending on your skills, qualifications, experience, and location. Comprehensive Benefits: Medical and dental coverage, retirement benefits, and a range of discounted products and services. Stock Grants and Employee Stock Purchase Plan: Opportunities to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Professional Development: Reimbursement for certain educational expenses, including tuition, and opportunities for career growth and advancement. Diverse and Inclusive Culture: A work environment that values diversity, inclusion, and equality, and is committed to providing opportunities for all employees to succeed. Why Join Us? As a Senior Data Scientist at Workwarp, you'll have the opportunity to make a significant impact on the future of Apple's products and services, working with a talented team of data scientists and engineers to drive business outcomes and inform product decisions. If you're a motivated and curious individual with a passion for data-driven insights, we encourage you to apply for this exciting opportunity. Your Future Starts Here Don't miss out on this exciting role. We are looking forward to hearing from you. Apply now and take the first step towards shaping the future of Apple's cloud-centric products and experiences! Apply for this job