Remote Lead Data Scientist Jobs
About Turing.com: Turing’s mission is to unleash the world’s untapped human potential. We use AI to source, evaluate, hire, onboard, and manage engineers remotely (including the HR and compliance aspects) in a bigger platform that we call the “Talent Cloud”. We recently achieved unicorn status with a valuation of $1.1B, after raising over $140M in financing over four rounds of funding. 1000+ companies including companies like Johnson & Johnson, Pepsi, Dell, Disney +, have hired Turing developers. About the role: Turing.com is looking for a Lead Data Scientist who will be responsible for business/product research, creating critical KPIs, and setting product team goals, along with providing suggestions and market information to assist in resolving complex business issues. Job responsibilities: - Take charge of the organization's data science vision and strategy - Create innovative tools, cutting-edge analytical methods, and products. - As part of co-innovation projects, collaborate with important clients and stakeholders to assist in the creation of proprietary analytical products and bespoke scores - Make sure that all analytical output is subject to quality monitoring by beginning and experienced data scientists - Successfully convey the "so what" of the analysis to key stakeholders by utilizing powerful data visualizations, excellent presentation techniques, and business language - Help junior and intermediate data scientists enhance their careers and their skill sets in data science - Using cutting-edge approaches and procedures, as well as developing new ones when necessary, support the redesign of the data science model development lifecycle - Take care of project management, including establishing the technical and business requirements, scheduling resources, and designing analytical solutions. Job requirements: - Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience) - At least 3+ years of relevant experience as a data scientist - 3+ years of experience working in a large data environment with Python, SQL, and R - 3+ years of experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, and neural networks (including LSTMs, and RNNs) - 3+ years of relevant experience in the development and application of analytical solutions to real-world problems - 2+ years of modeling experience with the top tools, such as Transformers, Tensorflow, XGBoost, Scikit Learn, and PyTorch - 2+ years of experience developing and leading the technical vision of an organization and working independently and closely with senior leadership to lead data science to continued success into the future - Knowledge of, innate skill for, and excitement for experimenting with new technology and swiftly determining their value within organizations - Nice to have some working knowledge of financial services, telecommunications, or utilities - Prior experience working with browser-level data to extract insights is desirable - Nice to have some experience working with credit or fraud data - Experience in leadership and mentorship along with development and deployment of models in a cloud-based environment such as GCP and Firestore is desirable - Excellent spoken and written English communication skills