Data Scientist

Recooty; New York (NY); Remote; USD 100,000 - 130,000; Full time

Job summary

An innovative firm is seeking a Data Scientist to leverage analytical and machine learning expertise to tackle complex business challenges. In this role, you will extract and manipulate data, develop statistical models, and design machine learning pipelines to enhance decision-making processes. You will also have the opportunity to work with cutting-edge generative AI technologies, presenting insights to clients and collaborating with a dedicated team. If you are passionate about data science and eager to make a significant impact, this position offers a rewarding career path in a supportive environment.

Benefits

Medical Insurance

Dental Insurance

Vision Insurance

401k with Match

Bonus

Unlimited PTO

Qualifications

• 1-3 years of data science experience with strong Python and SQL skills.
• Experience with statistical methods and machine learning pipelines.

Responsibilities

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

Skills

Data Manipulation

Statistical Analysis

Machine Learning

Python Programming

R Programming

SQL

Communication Skills

Project Management

Education

Bachelor in Data Science

Bachelor in Statistics

Bachelor in Applied Math

Bachelor in Econometrics

Bachelor in Business

Tools

Generative AI Models

Vector Databases

Langchain

LlamaIndex

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 Data Scientist role is expected to develop analytical, statistical, and machine learning solutions to client business problems. The 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. 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.
4. Build machine learning pipelines to aid with decision-making and streamline critical business processes.
5. Design and implement solutions using generative AI models (GPT-4, Claude, Llama2), frameworks (Langchain, LlamaIndex), and related tools (vector databases).
6. 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.
7. Interpret statistical findings in the context of clients’ businesses, and create presentations that communicate analytical results to non-technical client audiences.
8. Interact with clients to establish requirements, organize meetings, and deliver presentations.
9. Research practical data science topics and prepare presentations to share findings and knowledge with team members.

Qualifications:

1. 1-3 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. Exceptional oral and written communication skills
7. Ability to multitask on different projects and manage deadlines
8. Flexibility to work both collaboratively and independently
9. Bachelors or above in Data Science, Statistics, Applied Math, Econometrics, Business, or related field
10. Previous consulting experience a strong plus
11. Hands-on generative AI experience strongly preferred

Position Type: Full-time salaried

Reports to: VP of Data Science

Base Compensation: $100,000 - $130,000

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

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