Data Scientist

APPLE INC has the following available in Culver City California. Lead statistical analysis of performance of Sports and Video content using viewership subscription and event-based clickstream data. Statistical analysis includes rigorously investigating viewership behavior and its correlation to subscription actions identification of the key touchpoints in apps for driving engagement profiling users for marketing targeting and understanding the impact of product and content changes (For example decisions on when to schedule games which ones to have free vs. behind the paywall and which users to focus on for improving engagement were all analyses that resulted in immediate action from the marketing and business teams). Analyze new feature usage to alter the product roadmap for specific features. Use statistical techniques such as causal inference supervised learning methods including classification and forecasting (including autoregressive) and clustering to derive actionable insights and trigger business actions including a predictive model to forecast game performance that is used to model modifications to the schedule as well as a schedule optimizer for another leagues games that decides our schedule. Coding languages such as Python (including specialized statistical packages like Pandas SKLearn Matplotlib statsmodels and SciPy) SQL and distributed computing technologies like Spark are all used in this analysis and modeling. Implement models and statistical analyses into production using Spark and Airflow. Work with Engineering partners to define logic for pipelines for official reporting for key business metrics both internally and for use by external partners including royalty reporting helping to define the pipeline logic from raw client events through sessionization and aggregation. Act as a subject matter expert on metric creation based on this data collection and be responsible for socializing these definitions and any movements in the resulting metrics. Codify downstream or custom metrics handle engineering pipelines using Spark and Airflow to ensure that key KPIs land in business tracking dashboards on time. Analyze the impact of new content and new product features based on metrics including subscription conversion feature usage and deepening viewership and design experiments where appropriate to measure impact and guide future direction of the content and product roadmaps. 40 hours / week. 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 $163300 - $245800 / yr and your base pay will depend on your skills qualifications experience and & BENEFITS : 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 : Apple benefit compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

• Bachelors degree or foreign equivalent in Math Economics Finance Statistics or related field and 5 years of progressive post-baccalaureate experience in the job offered or related occupation.
• 5 years of experience with each of the following skills is required :
• Performing statistical analysis using Python. Manipulating data with packages like Pandas performing various statistical analyses such as descriptive and inferential analysis in order to learn about user behavior and its impact on the business.
• Querying and managing databases using SQL. Using SQL to access explore manipulate and aggregate data.
• Distilling complex findings into digestible learnings for stakeholders.
• 3 years of experience with each of the following skills is required :
• Evaluating feature performance with A / B Testing or causal inference.
• Building models using Scikit-learn and other Machine Learning Packages like SciPy Prophet and stats models.
• Working with Engineering to define data collection design and requirements. Experience with data architecture and infrastructure and defining requirements of how best to structure the data to be usable.
• 2 years of experience with each of the following skills is required :
• Managing pipelines for big data jobs and analysis using Spark and Hadoop. rRun on an automated basis using Python Spark SQL as well as internal orchestration platforms.
• 1.5 years of experience with each of the following skills is required :
• Creating clusters with Unsupervised Learning Techniques including K-Means Phi and spectral clustering.
• N / A

Key Skills

Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills

Employment Type : Full-Time

Experience : years

Vacancy : 1

Monthly Salary Salary : 163300 - 245800