Associate Data Scientist I
Role Proficiency: Develop data-driven solutions for difficult business challenges. Utilizing analytical statistical and programming skills to collect analyze and interpret large data sets with supervision.
Work with stakeholders throughout the organization to identify opportunities for leveraging data from our customers to create models that can generate business insights
Build predictive models and machine learning algorithms to analyse large amounts of information to discover trends and patterns.
Mine and analyse data from company databases to drive optimization and improvement of product development marketing techniques business strategies etc
Develop processes and tools to monitor and analyse model performance and data accuracy.
Coordinate with different functional teams to implement models and monitor outcomes.
Set FAST goals and provide feedback on FAST goals of reportees
Measures of Outcomes:
Number of business processes changed due to vital analysis.
Models applied to Business Problems
Number of Business Intelligent Dashboards developed
Number of productivity standards defined for project
Number of mandatory trainings completed
Outputs Expected: Statistical Techniques:
Apply statistical techniques for example regression properties of distributions statistical tests etc. to analyse data.
Machine Learning Techniques:
Apply machine learning techniques like clustering decision tree learning artificial neural networks etc. to streamline data analysis.
Creating advanced algorithms:
Create advanced algorithms and statistics using regression simulation scenario analysis modelling etc.
Visualize and present data for stakeholders using: Periscope Business Objects D3 ggplot etc.
Management and Strategy:
Oversee the activities of analyst personnel and ensures the efficient execution of their duties.
Critical business insights:
Mines the businesss database in search of critical business insights and communicates findings to relevant departments