Staff Engineer (Data Scientist)

default

• Develop analytical model to predict/forecast user behaviors to meet business requirements and drive business growth.
• Communicate the results to management via data visualizations, presentations.
• Develop Machine learning, Deep learning and AI algorithm to solve business case or problem.
• Deploy and integrate the model with other applications using python and other related technologies for application development and deployment.
• Create various documentations required as part of implementation.
• Ability to meet the timelines set by the management on the change requests raised.

• 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