As a Senior Data Scientist for Magic Leap’s Lifestream teamyou will have responsibility for the planning and development of our Data Science program in support of the implementation of our Lifestream business function and how it integrates within our product portfolio.
You will be responsible for:
Analyze and mash-up massive amounts of data to mine useful business insights.
Design and develop metrics, create insightful automated dashboards and data visualizations to track them and extract useful business insights.
Work with different business and technical teams across the company to establish unified definitions, systems, and data governance for key metrics.
Build scalable backend solutions for automation of data processing.
Develop predictive/segmentation models to understand the behavior and impact.
Communicate findings to internal teams and evangelize data-driven business decisions.
Leverages machine learning and data mining techniques
Combines data extraction, preparation, and cleaning with model training and evaluation
Develops and codes software programs, algorithms and automated process to cleanse, integrate and evaluate large datasets from multiple disparate sources
Implements advanced statistical and predictive modeling techniques, focusing on clear, algorithmic methods, models, and visualizations
Stays current on data science and analytics tools, techniques, and practices
Three + years of industry experience in technical role, or in relevant industry.
Programming skills with Python, R, Java or equivalent language.
Programming skills with SQL (psql/mysql/presto/hive/ etc.)
Experience with ETL (moving data between systems )
Experience with data visualization tool (e.g. Tableau, BI dashboarding, Interana )
Experience in Hadoop or other MapReduce paradigms and associated languages such as Pig and Hive.
Experience with code repository /versioning systems
Experience with Unix/Linux environment for automating processes with shell scripting.
Experience with manipulation massive scale structured and unstructured data.
Understanding of different databases performance tuning.
Excellent communications skills, with the ability to synthesize, simplify and explain complex problems to different types of audience, including executives
Master or PhD degree in a quantitative or hard science discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, and physics chemistry.
All your information will be kept confidential according to Equal Employment Opportunities guidelines.