Senior Data Scientist

Recooty; New York, Cary (NY, NC); Remote; USD 120,000 - 150,000; Full time

Job summary

An established industry player is seeking a Senior Data Scientist to join their innovative team. This role involves developing analytical and machine learning solutions to address complex business challenges. You will leverage your expertise in statistical analysis, data manipulation, and natural language processing to provide insights that drive decision-making. Collaborating with clients, you will interpret data findings and present them effectively to non-technical audiences. If you are passionate about data science and eager to make a significant impact, this opportunity is for you!

Benefits

Medical Insurance

Dental Insurance

Vision Insurance

401k with Match

Bonus

Unlimited PTO

Qualifications

• 3-5 years of experience in data science with strong statistical and programming skills.
• Hands-on experience with Python, R, and SQL for data analysis and modeling.

Responsibilities

• Develop machine learning solutions and statistical models to solve client problems.
• Extract and analyze data from various sources to generate actionable insights.

Skills

Statistical Analysis

Machine Learning

Data Manipulation

Natural Language Processing (NLP)

Data Mining

Communication Skills

Problem Solving

Education

Bachelor's in Data Science

Master's in Statistics or related field

Tools

Python

R

SQL

Generative AI Models (GPT-4, Claude, Llama2)

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:

1. Extract and manipulate data from various sources (databases, files, APIs, etc.); requires knowledge of how to deal with the inherent structure of the data.
2. Use Python (and R) to perform statistical analysis, profiling, reporting, and modeling.
3. Leverage NLP and text analytics libraries to ingest, preprocess, analyze, and model unstructured text data.
4. Perform topic modeling, information extraction, sentiment analysis, summarization, and other types of text analytics to uncover insights.
5. 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.
6. Build machine learning pipelines to aid with decision-making and streamline critical business processes.
7. Design and implement solutions using generative AI models (GPT-4, Claude, Llama2), frameworks (Langchain, LlamaIndex), and related tools (vector databases).
8. 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.
9. Interpret statistical findings in the context of clients’ businesses, and create presentations that communicate analytical results to non-technical client audiences.
10. Provide high-level strategic insight and direction on projects.
11. Interact with clients to establish requirements, organize meetings, and deliver presentations.
12. Research practical data science topics and prepare presentations to share findings and knowledge with team members.

Qualifications:

1. 3-5 years of data science work experience
2. Experience ingesting, cleaning, and manipulating data
3. Data mining and statistical programming experience with Python and SQL
4. Experience working with large datasets, text data, and complex relational data models
5. Strong understanding of various statistical methods, such as linear and logistic regression, time series, design of experiments, etc.
6. Experience and creativity to come up with novel approaches to challenging problems
7. Exceptional oral and written communication skills
8. Ability to multitask on different projects and manage deadlines
9. Flexibility to work both collaboratively and independently
10. Bachelors or above in Data Science, Statistics, Applied Math, Econometrics, Business, or related field
11. Previous consulting experience a strong plus
12. 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