Meta AR/VR Job | Manufacturing Data Scientist | Oculus
Job（岗位）: Manufacturing Data Scientist | Oculus
Type（岗位类型）: Data Science
Citys（岗位城市）: Sunnyvale, CA | Los Angeles, CA | Redmond, WA | Menlo Park, CA | Seattle, WA | San Francisco, CA
Date（发布日期）: 2022-2-23
Summary（岗位介绍）
Our Manufacturing Data Intelligence team is seeking data scientists who are confident about working with complex datasets and passionate about discovering useful but hidden information about our product quality, manufacturing efficiency, and design reliability.
The Data Scientist will help define the data schema from production test and supply chain, and leverage the dataset to explore strategic areas of pattern detection, anomaly detection, and predictive modeling. Apply statistical and probabilistic tools to evaluate multivariate correlation and expose trends. Collaborate with our partners across Operations, SW/HW Engineering, Logistics, and Quality to identify impactful metrics, build web-based dashboards, and automate reporting. This role requires a solid foundation in data mining techniques, scripting, databases, as well as an understanding of operations and quality methods. Strong technical, presentation, and organizational skills are critical.
The ideal candidate is a self-driven individual working in a cross-functional team environment and will be responsible for planning the design, development, and implementation of factory test data fabric. You will help enforce data capacity planning and optimal data transport. This position will have responsibilities for NPI test development phase as well as sustaining support of production data.
You must be responsive, flexible and able to succeed within an open collaborative peer environment. We are looking for someone with a productive mindset who can apply their expertise to solve problems in creative, insightful ways.
Qualifications（岗位要求）
Bachelor’s degree.
5+ years of experience in a Data Science role in the areas of data mining, statistics, machine learning, or related fields. Experience crafting, conducting, analyzing, and interpreting experiments and investigations. Experience in Operations or High Volume Consumer Electronics.
Experience translating data insights into a clear and compelling narrative with practical outcomes. Effective communications skills.
Experience building relationships and lead by influence. This role requires advocating for change with various teams across Meta Reality Labs.
Experience articulating and translating business questions and using analytics and data science techniques to answer those questions.
Experience partnering with internal teams to drive results and providing expertise and direction on analytics, data science, experimental design, and measurement.
Expertise in statistical data analysis such as linear models, multivariate analysis, sampling methods, and causal inference.
Experience with common data science toolkits, such as R/Python and various data processing and Machine Learning libraries. Experience with R, MATLAB, and JMP is valuable.
Experience using query languages such as SQL. Skilled at database design, development, and optimization.
Experience in producing powerful visualizations and dashboards that combine information richness, precision, and yet simplicity.
Experience partnering with contract manufacturers in high-volume production. Experience traveling to manufacturing sites.
Experience designing and executing development projects with a design of experiment approach (DOE) to service, troubleshoot, and solve engineering problems.
Knowledge in statistical methods (6s, SPC, Cpk) for data analysis in production control processes.
Description（岗位职责）
Conduct end-to-end analysis across factory data sources, schemas, capacity, piping, and database efficiency.
Leverage data from large and complex datasets, and drive analysis using advanced methods.
Work with internal partners and cross-functional teams to define and refine business requirements. Build plans for design, implementation, deployment, and support of these data products.
Identify key design and manufacturing variables that impact operations performance and the customer experience. Work closely with Operations, Engineering, and Quality teams to contribute to root cause investigations and corrective actions.
Develop extensive knowledge of existing metrics. Build new metrics for performance measurement and advocate for changes to existing metrics where needed.
Lead data science and analytics projects throughout product life cycles.
Partner with data science peers across Meta to build and prototype data pipelines and analysis methods to drive insights at scale.
Build cross-company communities while socializing adoption of best practices, and create greater awareness of the value of data analytics.
Push timely and concise updates to the executive team on data intelligence.
Some domestic and International travel may be required. Up to 20%.
Additional Requirements（额外要求）
Bachelor’s degree in a relevant field, such as Data Science, Machine Learning, Statistics, or Operations Research, or equivalent work experience. Advanced degree (MS).
