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LifeScore Labs - Lead Data ScientistEssential Responsibilities
Set strategy and assume a leadership role in a domain of expertise within agile, startup environment
Develop roadmaps for projects, services, data, and technology
Oversee operations of algorithm and system deployments
Provide domain expertise within new business development activities
Partner with leadership and broader Data Science team to ensure alignment of data science initiatives
Lead projects and research initiatives
Develop algorithms and predictive models, create prototype systems, visualizations, and web applications
Design and analyze experiments
Assemble data sets from disparate sources and analyze using appropriate quantitative methodologies, computational frameworks and systems
Disseminate findings to non-technical audiences through a variety of media, including interactive visualizations, reports and presentations
Mentor junior team members
Desired Skills and Experience
Industry recognized expertise
7+ years working with data and relevant computational frameworks and systems
7+ years developing of probabilistic models and machine learning algorithms
Proficient level of understanding in the following areas and an expert in at least one: machine learning, probability and statistics (esp. Bayesian methods), natural language processing, operations research
Exceptional problem-solving skills and willingness to learn new concepts, methods, and technologies
Expert in data analysis using R or Python (numpy, scipy, matplotlib, scikit-learn, pandas, etc.) programming languages
Knowledge of HTML/CSS/Javascript, d3.js and web application frameworks
Knowledge of software development and engineering best practices
Knowledge of automation, cloud computing platforms and technology (AWS, kubernetes, Jenkins, containers)
Experience in database design and SQL
Ability to work in a highly agile and collaborative environment
Outstanding presentation and communication skills (publication history a plus)
EducationM.S. or Ph.D. in a quantitative discipline (Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, etc.) is required
