Formulate business problems and strategic objectives into data science projects.
Utilize company’s data to build the appropriate solutions using statistical heuristics and machine learning.
Design the best approach to solve business problems by achieving the required accuracy and meeting time constraints.
Identify the best evaluation metrics for each solution.
Support the business by answering complex questions using advanced analytics.
Build scalable machine learning pipelines that will be deployed in production.
Perform exploratory data analysis to uncover hidden insights.
Design and run experiments for hypothesis testing and analyze its results.
Qualifications:
Bachelor degree in quantitative field.
3+ Years of experience in similar role.
Experience in developing various machine learning and deep learning solutions including time series analysis, classification, regression, clustering, etc…
Proficiency and demonstrated experience in Python data stack libraries.
Proficiency and demonstrated experience in SQL.
Excellent written and verbal communication skills.
