Lead Data Scientist

A fast-growing company that is developing the first trusted data platform in the world to reconcile the data demands of businesses with the privacy concerns of consumers, is looking for a Lead Data Scientist. The selected candidate will be responsible for providing suggestions and market information to assist in resolving complex business issues. The company's free browser extension eliminates intrusive trackers and cookies while enabling users to earn royalties while browsing, giving users control over their data and safeguarding their privacy. This is an amazing opportunity for developers who are eager to work with a team of professionals while developing cutting-edge solutions. 

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