Responsibility:
● Work with stakeholders throughout the organization to identify opportunities for
leveraging company data to drive business solutions.
● Assess the effectiveness and accuracy of new data sources and data gathering
techniques.
● Develop custom data models and algorithms to apply to data sets.
● Use predictive modeling to solve business problems of the customers.
● Develop A/B testing framework and test model quality.
● Coordinate with different functional teams to implement models and monitor outcomes.
● Develop processes and tools to monitor and analyze model performance and data
accuracy.
Eligibility:
● Master’s Degree in Computer Science, Statistics, Computer Applications or Bachelor or
Master degree in Computer Engineering.
● Strong problem solving skills with an emphasis on product development.
● Excellent knowledge of Python programming skills with Flask, AIOHTTP frameworks.
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate
data and draw insights from large data sets.
● Experience working with and creating data architectures.
● Knowledge of a variety of machine learning techniques (clustering, decision tree
learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
● Knowledge of advanced statistical techniques and concepts (regression, properties of
distributions, statistical tests and proper usage, etc.) and experience with applications.
● Excellent written and verbal communication skills for coordinating across teams.
● A drive to learn and master new technologies and techniques