Data Scientist/Sr. Data Scientist

The AI/ML team at Trajector builds and productionizes NLP solutions that extract and utilize relevant information from unstructured text and audio to build efficient business solutions. We are seeking a highly experienced Staff Data Scientist specializing in Natural Language Processing (NLP) to lead the development and optimization of state of-the-art NLP systems for medical and legal documents processing, management and creation. The ideal candidate will have 8-10 years of relevant experience in data science, machine learning, and NLP, with a strong track record of delivering impactful solutions in complex, domain-specific contexts.

Key Responsibilities:

• Design, develop, and deploy scalable NLP systems to process, analyze, and extract information from medical and legal documents.
• Lead the exploration and application of cutting-edge NLP techniques, including transformers, large language models, information retrieval, recommendation, summarization, and personalization systems, to solve domain-specific challenges.
• Collaborate with cross-functional teams, including product managers, engineers, and domain experts, to define project goals, requirements, and deliverables.
• Drive end-to-end development of AI/ML solutions, including data preprocessing, model training, evaluation, deployment, and performance monitoring.
• Ensure solutions meet high standards of data security, privacy, and compliance
• Stay abreast of emerging trends and technologies in NLP and machine learning and identify opportunities for their application in our systems. Contribute to the strategic direction of technology and product development within the organization.
• Contribute to the long-term AI/ML technical vision and roadmap.

Basic Qualifications:

• Masters or Ph.D. in Computer Science, Data Science, Statistics, Computational Linguistics, or a related field.
• 3 - 5 years of professional experience in data science, preferably with a focus on natural language processing.
• Proven track record of solving business problems by delivering data science solutions at scale
• Expert in building and deploying machine learning models, including deep learning techniques and model fine-tuning
• Expert in data processing, feature engineering, analytics and visualization for structured and unstructured data
• Proficiency in Python
• Proficiency in SQL
• Proficiency in using source control systems like Github
• Proficiency in AI/ML/NLP frameworks such as Hugging Face, spaCy, scikit-learn, among others
• Proficiency in developing prompts for generative AI including evaluation of output
• Proven skills in translating complex data insights into clear, actionable business strategies
• Background of mathematical fundamentals including statistics, probability, linear algebra and optimization methods
• Experience in demonstrating the impact of data products using appropriate quantitative metrics
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and ML model deployment in production.
• Proven ability in contributing to complex projects and deliver results in a fast paced environment.

Desired Qualifications:

• Experience working with medical or legal documents, including familiarity with domain-specific regulations (e.g., HIPAA, GDPR).
• Familiarity with OCR (Optical Character Recognition) technologies and integrating structured and unstructured data sources.
• Background in reinforcement learning, unsupervised learning, outlier detection, or graph-based NLP techniques.
• Familiarity with Python ML frameworks such as PyTorch or TensorFlow
• Background of linear algebra and neural network architecture
• Experience with MLOps tools and philosophies
• Publications or contributions to open-source NLP projects.