Sr. Data Scientist

Perfect Path, LLC, d/b/a Trajector Services-posted 3 months ago
$160,000 - $175,000/Yr
Full-time • Senior
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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 Senior 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 5-8 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.

  • 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.
  • Mentor junior data scientists, fostering technical growth and knowledge-sharing within the team.
  • 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.
  • Authorized to work in the United States and not require work authorization sponsorship by our company for this position now or in the future.
  • Master’s or Ph.D. in Computer Science, Data Science, Statistics, Computational Linguistics, or a related field.
  • 5-8 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.
  • 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.
  • Competitive compensation ranging from $160,000 - $175,000 per year with total compensation ranging from $180,000 - $197,000.
  • Medical, dental, vision, 401k program, and more.
  • Paid time off, including seven (7) federal holidays plus two (2) flex holidays for DEI.
  • Joining a rapidly growing organization.
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