Senior Data Scientist

Role Overview

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. Senior Data Scientist 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.

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

• 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.
• Train, fine-tune, and validate NLP models using appropriate algorithms; evaluate model performance using metrics such as precision, recall, F1 score, and accuracy.
• 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.
• 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.
• Optimize and fine-tune NLP algorithms for improved efficiency and accuracy; implement parallel processing and distributed computing techniques for large-scale data analysis.
• Stay informed about the latest advancements and trends in NLP and machine learning; apply cutting-edge techniques to solve complex business problems.
• 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.
• Strong understanding of text mining, information retrieval, and semantic analysis.
• Excellent problem-solving and analytical skills.
• Effective communication and collaboration skills.
• Experience with cloud platforms (e.g., AWS, Azure) and big data technologies is a plus.

Benefits

• Health, dental, vision, life insurance, and disability plans (eligible from first day of employment).
• 401(k) Plan eligibility after 30 days of employment.
• 11 paid holidays per year.
• 12 weeks of parental leave.
• “Free time” PTO policy allowing flexible use for sick time or vacation.