So, what will you be doing all day?
Your daily responsibilities may include:
Working on versatile use cases within a dynamic, fast paced production environment
Strategic thinking and problem solving, with a strong business sense
Analyzing data from various sources, and turning it into usable input
Understanding various use cases from different customers, and creating models that can translate these cases into meaningful insights
Initiating newly defined tasks from exploration to proof of concept
Owning the finalization of defined tasks (from POC to deployment in production)
Collaborating with data engineers to make sure we reach the desired production results
Owning the ongoing validation process for existing metrics
Collaborating and brainstorming best practices with other teams within the R&D department
Deploying machine-learning models into production for an ongoing use
Holds a M.Sc in Computer Science/Mathematics/Physics or any other relevant field – Required
Has 3+ years of experience with statistical and machine learning tools – Python, R, etc.
Strong communicative and verbal abilities to lead and guide customers through the logic of custom-built models
Has previous experience developing machine learning/ image processing/NLP or similar algorithms
Demonstrated experience utilizing probability theory and statistics
Experience with Big Data tools and cloud infrastructure; PySpark, AWS (big advantage)
Strong analytical skills; experience analyzing and processing tabular data, and extracting insights (big advantage)
