Data Foundry Armenia
Position
Data Scientist
Category
Job Address
Application Deadline
IT
Yerevan, Armenia
08/02/2019
Responsibilities
Data Foundry Armenia is looking for a research-oriented individual who is enthusiastic to make contributions to scientific/ research communities in the form of patents, white papers, inventions, finding new models or optimizing existing models to address AI challenges and to build ethical solutions.
Required Qualifications
- Master's degree or Ph.D. in Statistics, Mathematics, Computer Science or any related discipline - At least 4 years of experience in data science - Excellent skills in Python, R, C and C++; programming skills with in-depth knowledge of OOPs - Development experience using NumPy, SciPy, scikit-learn, SparkML and pandas - Experience in leading discussions on core/ design challenges with clients in specific domains - End-to-end development and implementation experience of a complex business or design problems with clear outcomes and business benefits (for pharma and healthcare industries) - Strong understanding of linear algebra, probability, mathematics and statistics and ability to develop algorithms or modify existing ones to fit specific purposes and constraints - Applied ML techniques: supervised, unsupervised, reinforcement learning and graphs (any 2) - Applied solution in areas of recommendation systems, NLP, text mining and deep learning - Strong understanding of cliques, multi-layered graphs, matrix, relationship models, clustering, time theory, neural networks and (optionally) quantum computing
Application Procedures
Interested and qualified candidates are welcome to send their CV to: griganna86@gmail.com specifying the position title ("Data Scientist") in the subject line of the email. Please note that only shortlisted candidates will be contacted for an interview appointment. Please mention in your application that you have learned about this position from MyJob.am
Additonal Information
Data Foundry Armenia is looking for a research-oriented individual who is enthusiastic to make contributions to scientific/ research communities in the form of patents, white papers, inventions, finding new models or optimizing existing models to address AI challenges and to build ethical solutions.