Senior Data Scientist

Fulcrum Analytics; United States; Remote; USD 120,000 - 150,000; Full time

Job summary

Join a forward-thinking company as a Senior Data Scientist, where you will leverage your expertise in data science to develop innovative solutions that drive business success. In this role, you will work with cutting-edge technologies and methodologies, including machine learning and generative AI, to solve complex client challenges. You'll collaborate with a dedicated team to extract insights from data, create impactful presentations, and provide strategic guidance. This is an exciting opportunity to make a significant impact in a dynamic environment, where your contributions will help shape the future of data-driven decision-making.

Benefits

Medical Insurance

Dental Insurance

Vision Insurance

401k with Match

Unlimited PTO

Qualifications

• 3-5 years of data science experience with Python and SQL.
• Strong understanding of statistical methods and data manipulation.

Responsibilities

• Develop analytical and machine learning solutions for client problems.
• Extract and manipulate data from various sources and build models.

Skills

Python

R

SQL

NLP

Machine Learning

Statistical Analysis

Data Cleaning

Communication Skills

Problem Solving

Education

Bachelor's in Data Science

Master's in Statistics

Tools

Generative AI Models

Langchain

LlamaIndex

Vector Databases

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 relatedtools (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:

• 3-5 years of data science work experience
• Experience ingesting, cleaning, and manipulating data
• Data mining and statistical programming experience with Python and SQL
• Experience working with large datasets, text data, and complex relational data models
• Strong understanding of various statistical methods, such as linear and logistic regression, time series, design of experiments, etc.
• Experience and creativity to come up with novel approaches to challenging problems
• Exceptional oral and written communication skills
• Ability to multitask on different projects and manage deadlines
• Flexibility to work both collaboratively and independently
• Bachelors or above in Data Science, Statistics, Applied Math, Econometrics, Business, or related field
• Previous consulting experience a strong plus
• Hands-on generative AI experience strongly preferred

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