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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.
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Worksite address
new york, NY, 10261, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.