Senior Data Scientist

It's fun to work in a company where people truly BELIEVE in what they're doing!
We're committed to bringing passion and customer focus to the business.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

We are looking for a Data Scientist that will help us discover the information hidden in vast amounts of data and help us make smarter decisions to deliver even better products.

As a member of our team, you will enable data-driven decision making in support of Lumentum’s commitment to building a zero-defect culture.  Accurate, timely and unbiased data is essential and when delivered through innovative software tools, we enable informed, evidence-based decision making throughout our organization at all levels from Executive management to factory personnel. 

In this role, you will have best of two worlds. 

• Fab Operations:  Being embedded in Fab Operations team you will be close to critical activity of fabricating state of the art semi-conductor wafers & chips that are used in a wide variety of Lumentum products. 
• Global Data Science & Analytics (DSA):  You will also be an extended member of Global Operations DSA team which will give you access to global standards, processes & best practices as well as a support network of Data Scientists & Analysts from diverse backgrounds with many areas of expertise. 

You will serve as an experienced member of Fab Operations organization for Data Science & Analytics needs.  This would include responsibility for defining, developing, deploying and supporting end to end data solutions.  These projects will be delivered by some combination of yourself, the Global DSA team or others.  Below are examples of the assignments you could be involved with: 

• Delivering critical operations, engineering and quality metrics & tools that provide global visibility to supply chain performance, factory efficiency and product performance.
• Creating innovative, impactful and arresting data visualizations and tools that enable users to quickly, efficiently arrive at meaningful insights from data.
• Developing complex data preparation logic to cleanse and transform raw data into standardized form that supports today’s analysis needs but is ready to be scaled to meet future needs.
• Working with technical and non-technical users to understand user requirements and then mine through unknown databases to locate critical data for advanced analysis such as statistical prediction models
• Working with Lumentum IT and/or non-IT database owners to establish automated data pipelines that quickly and efficiently extract & transform from multiple sources to create new, rich data sets that enables insight into previously impossible analysis problems.
• Driving a culture of high data IQ by teaching and training users on techniques of data analysis and interpretation. 

Responsibilities

• Develop analytic data systems and tools using innovative methods and data automation to deliver data insights to users ranging from local managers to engineers to factory floor personnel, enabling faster and better-informed decision and actions.
• Explore, understand and assimilate new data sets from wide variety of sources & systems to support ad hoc statistical analysis, integration into automated data analysis/reporting systems and development of predictive modelling and anomaly detection systems.
• Communicate results and ideas to key decision makers - ability to dissect complex analytical models and create understanding with wide array of stakeholders; from customers to design teams.
• Research and develop statistical learning models and algorithms.
• Use Lean/Kaizen methods to analyse and improve data and business processes.

Minimum Qualifications

• Bachelor of Science either Computer Science, Applied Mathematics, Statistics or related majors (Masters preferred)
• 5+ years hands on experience in data analytic or data science role

Desired Characteristics

• 5+ years professional experience in Semiconductor Fabrication or Electronics/Optical manufacturing/operations engineering
• Data-oriented personality - passion for using numbers, data and algorithms to analyse situations and explain the world around us.
• Demonstrated ability to problem solve in unfamiliar situations in face of imperfect or ambiguous information.
• Great communication skills and comfort interacting with wide range of people from different technical disciplines, cultures/languages and in different geographies & time zones.
• Familiarity with supply chain operations, manufacturing processes and experience with Quality data and metrics

Desired Skills and Knowledge

• Competency in Data Wrangling, Processing, Cleansing, and Validation to ensure integrity of data used for analysis.
• Demonstrated success with performing ad-hoc data analysis, using results to reach conclusions and communicating results in a clear manner (written, visual and in person)
• Experience with data visualization tools, such as Tableau, highly preferred especially Tableau Desktop, Tableau Online, Tableau Bridge & Tableau Prep Builder
• Programming experience: C / C++, Python, R, Perl preferred.
• Scripting skills: Bash, tcsh preferred.
• Experience with databases and database extracts and proficiency in using query languages (knowledge of SQL)
• Good applied statistics skills, such as distributions, statistical testing, regression, etc. Experience with JMP desirable
• Experience with common data science toolkits, such as R, Weka, NumPy, MatLab,  etc.
• Familiarity with Microsoft applications especially Excel, Powerpoint, Sharepoint and PowerAutomate/ PowerApp
• Familiarity with Atlassian applications especially Jira and Confluence

We are an equal opportunity employer and value diversity at our company.

We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

Please contact us to request accommodation.