Senior Data Scientist

Job Description

At Fulcrum, we provide cutting-edge data science consulting and software solutions to help companies solve challenging 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 analytical, statistical, and machine learning solutions to client business problems. The Senior Data Scientist will have a number of responsibilities, including :

• Extract and manipulate data from various sources (databases, files, APIs, etc.); requires knowledge of how to deal with the inherent structure of the data.
• Use Python (and R) to perform statistical analysis, profiling, reporting, and modeling.
• Leverage NLP and text analytics libraries to ingest, preprocess, analyze, and model unstructured text data.
• Perform topic modeling, information extraction, sentiment analysis, summarization, and other types of text analytics to uncover insights.
• Develop and interpret multivariate statistical models, such as linear or logistic regression, survival analysis, and other parametric or non-parametric models that predict business metrics.
• Build machine learning pipelines to aid with decision-making and streamline critical business processes.
• Design and implement solutions using generative AI models (GPT-4, Claude, Llama2), frameworks (Langchain, LlamaIndex), and related tools (vector databases).
• Apply data science principles to solve complex business problems, including but not limited to problem framing, 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 that communicate analytical results to non-technical client audiences.
• Provide high-level strategic insight and direction on projects.
• Interact with clients to establish requirements, organize meetings, and deliver presentations.
• Research practical data science topics and prepare presentations to share findings and knowledge with team members.

Qualifications :

Position Type : Full-time salaried

Reports to : VP of Data Science

Base Compensation : $120,000 - $150,000

Benefits : Medical, Dental, Vision, 401k with Match, Bonus, Unlimited PTO

Location : Remote within the United States of America; Eastern time zone preferred

Skills Required

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More Details

Employment Type : Full Time Location : [REMOTE] Experience Required : Mid-Senior Level Date Published : 02 Mar 2024