Senior Data Scientist

Fractal; New York (NY); On-site; USD 140,000 - 200,000; Full time

Job summary

Fractal is seeking an experienced Senior Data Scientist with a GenAI focus to lead NLP-driven projects. The role requires strong ML and statistical analysis skills, plus expertise in extracting insights from textual data.

You will work on complex NLP projects, collaborating with cross-functional teams to deliver scalable AI solutions. The ideal candidate has 5+ years in data science, a Master’s in a related field, and proficiency with NLP libraries and deep learning frameworks.

Qualifications

• Master's degree or higher in CS, DS, statistics, or related field.
• Minimum 5 years of professional data science experience focusing on GenAI.
• Strong programming skills in Python or R.

Responsibilities

• NLP model development for text classification, sentiment analysis, entity recognition, and translation.
• Preprocess and clean large volumes of text data for analysis.
• Train, fine-tune, and evaluate NLP models using appropriate metrics (precision, recall, F1, accuracy).
• Collaborate with data engineers, software developers, and domain experts to deploy NLP solutions.
• Document methodologies, code, and project reports for reproducibility.

Skills

GenAI experience

NLP

Python or R

Team collaboration

Education

Master's in Computer Science or Data Science

Tools

NLTK

SpaCy

TensorFlow

PyTorch

Job description

It's fun to work in a company where people truly BELIEVE in what they are doing!

We're committed to bringing passion and customer focus to the business.

Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a 'Cool Vendor' and a 'Vendor to Watch' by Gartner.

Please visit Fractal | Intelligence for Imagination for more information about Fractal.

Senior Data Scientist

Role Overview

Data Scientist with GenAI Experience

Job Summary

We are seeking an experienced Data Scientist with a focus on Gen AI and a minimum of 5 years of industry experience. The ideal candidate will have a strong background in machine learning, statistical analysis, and data modeling, with a specific emphasis on extracting insights from textual data. This role involves working on complex NLP projects to derive meaningful patterns and knowledge from large datasets.

Key Responsibilities

• NLP Model Development
• Develop and implement NLP models for various applications, including text classification, sentiment analysis, entity recognition, and language translation.
• Utilize machine learning and deep learning techniques to extract valuable information from unstructured text.
• Text Preprocessing
• Preprocess and clean large volumes of text data to prepare it for analysis.
• Implement techniques such as tokenization, stemming, and lemmatization.
• Feature Engineering
• Identify and engineer relevant features from text data to improve model performance.
• Implement techniques to capture semantic relationships within the data.
• Model Training and Evaluation
• Train, fine-tune, and validate NLP models using appropriate algorithms.
• Evaluate model performance using metrics such as precision, recall, F1 score, and accuracy.
• Data Analysis
• Conduct exploratory data analysis on textual datasets to uncover patterns, trends, and anomalies.
• Use statistical methods to gain insights into the underlying structure of the data.
• Collaboration with Cross-Functional Teams
• Work closely with data engineers, software developers, and domain experts to integrate NLP solutions into broader systems and applications.
• Collaborate in defining project goals, requirements, and deliverables.
• Algorithm Optimization
• Optimize and fine-tune NLP algorithms for improved efficiency and accuracy.
• Implement parallel processing and distributed computing techniques for large-scale data analysis.
• Stay Updated with NLP Trends
• Stay informed about the latest advancements and trends in NLP and machine learning.
• Apply cutting-edge techniques to solve complex business problems.
• Documentation
• Document methodologies, algorithms, and code for reproducibility and knowledge transfer.
• Prepare clear and concise project reports and documentation.

Qualifications

• Master's in Computer Science, Data Science, Statistics, or a related field.
• Minimum of 5 years of professional experience in data science, with a focus on GenAi.
• Strong programming skills in languages such as Python or R.
• Expertise in using NLP libraries and frameworks such as NLTK, SpaCy, or TensorFlow.
• Proficiency in machine learning techniques, including supervised and unsupervised learning.
• Experience with deep learning frameworks like TensorFlow or PyTorch.