Collaborates with translators to define technical problem statement and hypothesis to test; understand business problems to implement scalable and sustainable solutions
Coordinates with SMEs, translators, IT and data engineers to deliver holistic analytical solutions
Designs, creates, tests and implements complex models and algorithms that drive analytical solutions throughout the organization
Regularly tests and maintains analytical models to improve efficiency and keep up with changing business needs, ensuring timely analysis and testing for regular maintenance of solutions over time
Writes reports articulating the analytics insights and their business impacts
Conducts and leads meetings and workshops to explain findings
Supports translators in communicating the design, functioning and output of the analytical models/solutions developed
Qualifications
2+ years of experience in data science
Master’s or other advanced degree in statistics, computer science or data science
Highly skilled in Python and PySpark and ability to derive insights from terabytes of time series-based data
Experience with object-oriented design, coding and testing, engineering software platforms
Thorough understanding of machine learning frameworks such as Scikit Learn and Tensorflow
Experience in model deployment in Azure or local Python based servers such as Flask, Waitress, Gunicorn
Understanding of advanced applied mathematics in AA, artificial intelligence and array operations
Comfort in using SQL Server, PostgreSQL/ MySQL, and R
Knowledge of programming languages (R, PHP, Python)
Experience in industrial industry applications or process industries (chemicals, energy, petroleum refining, mining) preferred.