Mission:
At Fulcrum, we provide 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.
Role description:
The Lead Data Scientist role is expected to be a data science subject matter expert and technical lead who will be hands-on with high-end modeling projects, client interactions, mentoring the technical skills of junior data scientists, and providing sales support. The Lead Data Scientist will:
Collaborate with Fulcrum senior management, data scientists, data engineers, and senior clients to develop and execute analytical solutions to complex problems, including but not limited to evaluating the impact of business interventions, identifying performance drivers, conducting diagnostic analyses and generating insights
Provide data science thought leadership and maintain best practices throughout the company for a variety of machine learning models
Interact with clients to establish requirements, troubleshoot and test models, and deliver presentations
Prepare client deliverables, including writing reports and creating presentations that detail analysis results
Perform methodology and code review and revisions to models created/developed by other data scientists
Manage and mentor junior data scientists
Contribute to proposals and attend sales calls as a subject matter expert
Qualifications:
5+ years of hands-on data science experience in industry. Experience in healthcare is a plus
Proficiency with Python and SQL
Strong critical thinking and attention to detail
Experience with cleaning/ingesting/manipulating data
Experience leading complex analytical projects. Experience with business intervention evaluations is a strong plus
Demonstrated experience translating analytic insights into actionable business recommendations
Experience in designing and applying models using a variety of analytical tools
Experience creating and automating applications for quantifying data to aid in business processes
Experience building predictive models including use cases in churn and segmentation
Ability to apply various statistical methodologies and work with different software/packages to visualize data in frontend applications
Master’s or PhD in Mathematics/Statistics/Machine Learning/Data Science/Computer Science
Previous consulting experience a strong plus
Position Type: Full time salaried
Reports to: SVP, Data Science
Location: Remote within the United States of America; New York City metro area preferred
Subordinates: 0
