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Benovymed - Principal Data Scientist/Senior Data Scientist/Data Scientist - NLP/Machine Learning
1 month ago
Principal Data Scientist / Sr. Data Scientists /Data Scientist / Jr. Data Scientist / Data Science Intern / Machine Learning Engineer-Global Tech AI Health Startup.
Responsibilities:We are looking for passionate individuals with strong experience and an entrepreneur mindset to join us as full-stack data scientists who can work independently or in small teams, handling end-to-end data science work commitments. Required skillsets include statistical, mathematical, and predictive modeling, as well as business strategy skills to build algorithms that ask the right questions and find the right answers.
Key responsibilities include communicating findings orally and visually, understanding how products are developed, and having a set of ethical responsibilities due to big data's impact on consumer privacy. The ideal candidate should have a natural desire to delve beneath the surface of problems and be confident and self-assured when dealing with unknown situations.
Familiarity with Artificial Neural Network (ANN), AI conversational chatbots, and the ability to write required algorithms and coding programs is necessary. Proficiency in programming languages such as Python, Tensor Flow, Keras, AWS (ML and DL), Numpy, and Pytorch is also required.
Data scientists should possess capabilities such as cleaning and formatting data, querying databases, performing statistical analysis, building AI data models, validating AI models, and deploying them. They should also be able to develop or program databases and have a good understanding of design and architecture.
Mandatory Requirements:The ideal candidate should have post-qualification experience of at least 0 to 7 years in real industry projects applied to AI, ML, and deep learning data science in early-stage AI health startups at the role and designation of single-handed full-stack principal data scientist or senior data scientist.
A minimum of 2-20 good applied AI-oriented research projects and applications with hardcore experience working on ANN, CNN, RNN, and deep learning in digital health startups to solve specific complex problems are required.
