Senior Data Scientist

Fractal Analytics • New York, NY

5d • $130,000 - $160,000

About The Position

Fractal is seeking an experienced Data Scientist specializing in GenAI and NLP to derive insights from textual data and develop innovative NLP solutions. The role focuses on machine learning, statistical analysis, data modeling, and extracting patterns and knowledge from large datasets. The successful candidate will work on complex NLP projects and collaborate with data engineers, software developers, and domain experts to incorporate NLP solutions into broader systems and applications. The posting describes a minimum of 8 years of industry experience in the role overview and a minimum of 5 years of professional data science experience focused on GenAI in the qualifications.

Requirements

• Master's degree in Computer Science, Data Science, Statistics, or a related field.
• The role overview states a minimum of 8 years of industry experience; the qualifications state a minimum of 5 years of professional data science experience focused on GenAI.
• Strong programming skills in Python or R.
• Expertise with NLP libraries and frameworks such as NLTK, SpaCy, or TensorFlow.
• Proficiency in supervised and unsupervised machine learning techniques.
• Experience with deep learning frameworks such as TensorFlow or PyTorch.
• Strong understanding of text mining, information retrieval, and semantic analysis.
• Strong problem-solving and analytical skills.
• Effective communication and collaboration skills.

Nice To Haves

• Experience with cloud platforms such as AWS or Azure and big data technologies.

Responsibilities

• Develop and implement NLP models for text classification, sentiment analysis, entity recognition, and language translation.
• Use machine learning and deep learning methods to extract information from unstructured text.
• Preprocess and clean large volumes of text data, including tokenization, stemming, and lemmatization.
• Identify and engineer relevant text features and capture semantic relationships to improve model performance.
• Train, fine-tune, validate, and evaluate NLP models using metrics such as precision, recall, F1 score, and accuracy.
• Conduct exploratory analysis of textual datasets to identify patterns, trends, and anomalies, and use statistical methods to gain insights.
• Collaborate with data engineers, software developers, and domain experts to integrate NLP solutions and define project goals, requirements, and deliverables.
• Optimize NLP algorithms for efficiency and accuracy, including implementing parallel processing and distributed computing for large-scale analysis.
• Stay informed about NLP and machine learning developments and apply current techniques to business problems.
• Document methodologies, algorithms, and code for reproducibility and knowledge transfer, and prepare project reports and documentation.

Benefits

• Health, dental, vision, life insurance, and disability plans, subject to plan documents and eligibility terms.
• Eligibility for benefits on the first day of employment.
• Eligibility to participate in the Company 401(k) Plan after 30 days of employment, subject to plan terms.
• 11 paid holidays.
• 12 weeks of parental leave.
• Free-time PTO policy for sick time or vacation.
• Possible eligibility for a discretionary bonus for the current performance period.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior