Define and execute data science solutions that address various business use cases and requirements
Discover, interpret, and document insights from large datasets through exploratory analysis and advanced analytical methodologies and present them
Create statistical and machine learning models in multiple technologies, using best in-class data science approaches
Work with our engineers to integrate data science products into customer-facing products. How cool is that?
So, we are looking for individuals who possess the following:
Bachelor’s, Master’s in Data Science or a related discipline (e.g. Mathematics, Statistics, Computer Science, other STEM degrees or Operations Research) OR
2 years of related work and/or research experience in a quantitative role
In-depth knowledge in at least 2 of the following data science domains - Predictive modeling and recommender systems, financial modeling, text mining / NLP, geospatial analysis, graph mining and network analysis
Extensive knowledge of a statistical programming language (e.g. R or Python)
Fluent in SQL and possesses workable knowledge of relational databases
Has experience in the development of a data science project (ideally, at least 1 full cycle)
BONUS: Experience with NoSQL data environments and related tools such as Hadoop and/or Spark