Mission
Fulcrum Analytics provides cutting-edge data science consulting and software solutions to help companies solve tough business problems. Through the utilization of our innovative products and dedicated team, clients are able to operate more efficiently, manage risk, and make informed business decisions every day. Fulcrum Analytics has stood at the forefront of data, analytics, and innovative software for over 25 years, offering sophisticated solutions, groundbreaking technologies, and winning strategies that help companies achieve their targeted results.
The Role
We are seeking an executive level, well-rounded, entrepreneurial data scientist to join our consulting firm as Chief Data Scientist. This role is perfect for someone who wants to serve as a partner to the CEO in driving the vision, innovation, and success of the company. The Chief Data Scientist will oversee the Data Science team and client base, contribute to the R&D of analytic products, be the subject matter expert for sales opportunities, and serve as part of the core management team of the company.
Requirements
To be successful in this role, you will need:
10+ years of data science experience with progressive responsibility
Experience will be across a range of industries - experience in healthcare is a plus
A background of leading complex analytical projects
Willingness to develop and grow relationships with clients, and to help them frame and solve business problems
Strong business acumen that will enable strategic and actionable business recommendations
Strong critical thinking, a technical mindset, and attention to detail
Eagerness and aptitude to grow, develop, and be responsible for the data science team
An entrepreneurial spirit and drive to meaningfully impact the success of a small business and its employees
Technical requirements include:
Proficiency with Python, R, SQL
Deep experience and interest in statistical analysis and machine learning methodologies such as vector machines, neural networks, feature engineering, etc.
Experience in designing and applying models using a variety of analytical tools, such as for random forest, logistic regression, hierarchical Bayesian models, matched case control and other quasi-experimental methods, NLP, etc.
Experience creating and automating applications for quantifying data to aid in business processes
Experience data visualization software/packages - Tableau, Superset, R-Shiny, DashPlotly
Master’s or PhD in Mathematics/Statistics/Machine Learning/Data Science/Computer Science
Position Type: Full time salaried
Reports to: CEO
Location: Remote within the United States of America; New York City metro area preferred
Subordinates: Yes
