Description
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
(1.) To create work plans, monitor, and track the work schedule for on-time delivery as per the defined quality standards.
(2.) To develop and guide the team members in enhancing their technical capabilities and increasing productivity.
(3.) To ensure process improvement and compliance in the assigned module, and participate in technical discussion or review.
(4.) To prepare and submit status reports for minimizing exposure and risks on the project or closure of escalations.