Senior Data Scientist
Dataiku- Full Time
- Senior (5 to 8 years)
Candidates should possess a Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline, and have at least 5 years of experience as a Data Scientist. Strong proficiency in Python and experience with machine learning frameworks like TensorFlow or PyTorch are essential, along with a solid understanding of statistical modeling and data mining techniques.
As a Senior Data Scientist at Turing, you will be responsible for developing and implementing advanced machine learning models to solve complex business problems, conducting data analysis and interpretation to provide actionable insights, collaborating with cross-functional teams to identify opportunities for AI applications, and contributing to the advancement of AI systems for both internal and external clients.
AI-driven matching of businesses with engineers
Turing provides tech services by using artificial intelligence to connect businesses with skilled software engineers for custom application development and on-demand engineering needs. The company has a large pool of over 3 million vetted engineers from 150 countries, allowing businesses to quickly find the right talent for their projects. When a company needs a developer, they specify the required skills, and Turing's AI matches them with the best candidates, streamlining the recruitment process and helping companies complete projects faster. Turing also supports engineers by offering access to high-paying remote job opportunities in the U.S., with a high rematch rate ensuring job stability. The goal of Turing is to enhance recruitment efficiency for businesses while providing valuable job opportunities for engineers.