Staff Engineer (Data Scientist)

Mathematics, Statistics & Information Sciences (Science & Technology)
Full time
Master's Degree in a technical field like Math, Statistics, Computer Science, Data Science, Artificial Intelligence, Engineering, Operations Research, or Physics
At least 3 years of experience working within a corporation or consumer-focused environment
Proven expertise in data science and analytics for key areas such as probability and statistics, time-series analysis, pattern recognition, optimization, and predictive modeling
Ability to clean and transform messy data in Python
Ability to extract data from SQL and/or NoSQL databases is required
Hands-on experience working with cloud services such as MS Azure is required
Experience with fast prototyping using open source technologies such as R and Python
Experience in implementing machine learning solutions in Python, R, or similar languages
Experience with data visualization tools such as Power BI, Qlik Sense, D3, R-Shiny, Dash, etc.
Ability to develop, train, evaluate, and present statistical models
Experience with front-end development for data analytics applications is a plus
Experience with key software development processes such as testing and version control using git repositories
Ability to collaborate with data scientists, software developers, business partners and other stakeholders
Experience with agile methodology and project management is highly desired#J-18808-Ljbffr