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 Senior Data Scientist role is expected to develop multivariate statistical models and machine learning algorithms to solve client business problems. The Senior Data Scientist will have a number of responsibilities, including: 

• Interface with various database platforms to pull data and link them logically; requires knowledge of how to deal with the inherent structure of the data

• Data manipulation including auditing, preparing, and reporting data for statistical analysis, including large databases and datasets

• Use Python (and R) to perform standard statistical analysis, profiling, reporting and model implementation

• Develop and interpret multivariate statistical models, such as linear or logistic regression, survival analysis and other parametric or non-parametric models that predict various business metrics

• Apply data science methods principles to solve complex business problems, including but not limited to evaluating the impact of business interventions, identifying performance drivers, conducting diagnostic analyses and generating insights 

• Interpret statistical findings in the context of clients’ businesses, and create presentations to visualize analytical results for non-technical client audiences

• Provide high level strategic insight and direction for all projects

• Interact with clients to establish requirements, organize meetings, and deliver presentations

Qualifications:

• 3-5 years' data science related  work experience

• Strong understanding of various statistical methods, such as linear and logistic regression, time series, design of experiments, etc. 

• Experience cleaning/ingesting/manipulating data

• Data mining and statistical programming experience with Python and SQL

• Experience working with large datasets and complex relational data models

• Effective oral and written communication skills

• Ability and willingness to multitask on different projects and deadlines

• Masters or PhD in Statistics, Applied Math, Econometrics or closely related field

• Experience in healthcare is a plus. Experience with business intervention evaluations is a strong plus.

• 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