Job Responsibilities
- Work in a team to define and execute data science solutions that address various business use cases and requirements
 - Define activities, scope, and timelines for data science projects
 - Deliver projects following best practice frameworks
 - Discover, interpret, and document insights from large datasets through exploratory analysis and advanced analytical methodologies
 - Create statistical and machine learning models in multiple technologies, using best-in-class data science approaches
 - Prepare and conduct presentations, to communicate the progress/results of projects to stakeholders, of both technical and non-technical backgrounds
 - Mentor and train junior members of the data science team
 - Work closely with the software development team to integrate the data science products into the customer facing products
 
Job Requirement
- Bachelor’s, Master’s, or PhD degree in Data Science or a related discipline (e.g. Mathematics, Statistics, Computer Science, or Operations Research)
 - 4 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:
 - Text Mining / NLP
 - Graph mining and Network Analysis
 - Geospatial Analysis
 - Deep Learning: Image, Video Processing and analysis
 - Predictive Modeling and Recommender Systems
 - Time series analysis
 - Financial modeling
 - Extensive knowledge of a statistical programming language (e.g. R or Python)
 - Fluent in SQL and possesses workable knowledge of relational databases
 - Has some experience in leading 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
 
by via developer jobs - Stack Overflow
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