Hiring: Senior Data Scientist Company: Fractal Location: New York, United States Job Posted Time: 2026-09-16 21:38:45 Employment Type: Full-time Target Skills & Keywords : AWS, Azure, Azure AD, Deep Learning, Machine Learning, NLP, NLTK, PyTorch, Python, TensorFlow, spaCy About the job Experience: •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. •5 years of professional experience in data science, with a focus on GenAi. Required Skills: •Data Scientist with GenAI Experience •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. •Preprocess and clean large volumes of text data to prepare it for analysis. •Implement techniques such as tokenization, stemming, and lemmatization. •Identify and engineer relevant features from text data to improve model performance. •Implement techniques to capture semantic relationships within the data. 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. •In-depth knowledge of text mining, information retrieval, and semantic analysis. •Excellent problem-solving and analytical skills. •Effective communication and collaboration skills. •If you are a skilled Data Scientist with a specialization in NLP, passionate about deriving insights from textual data, and have a proven track record, we encourage you to apply. Your expertise will contribute to the advancement of our data science capabilities and the development of innovative NLP solutions. Compensation: •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!