Sr. Data Scientist

Trajector

United States

On-site

USD 160,000 - 175,000

Full time

14 days+

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Benefits offered by this job

Medical, dental, and vision benefits
401k program
Paid time off for federal holidays
Flex holidays for DEI

Job summary

A leading medical services provider in the United States is seeking a highly experienced Sr. Data Scientist specializing in Natural Language Processing (NLP). You will lead the development of state-of-the-art NLP systems for processing medical and legal documents. The ideal candidate will have 8-10 years of experience in data science and demonstrate a strong ability to deliver impactful solutions. This role offers a competitive salary between $160,000 - $175,000, plus benefits.

Qualifications

  • 8-10 years of relevant experience in data science, machine learning, and NLP.
  • Proven track record of delivering impactful solutions in complex, domain-specific contexts.
  • Expert in building and deploying machine learning models.

Responsibilities

  • Design, develop, and deploy scalable NLP systems.
  • Collaborate with cross-functional teams to define project goals.
  • Drive end-to-end development of AI/ML solutions.

Skills

Natural Language Processing
Machine Learning
Deep Learning
Python
SQL

Education

Master’s or Ph.D. in Computer Science, Data Science, Statistics, or related field

Tools

Hugging Face
spaCy
scikit-learn
GitHub
AWS
Azure
Google Cloud

Job description

About Trajector

Trajector is where purpose meets progress. We specialize in medical evidence services that become the compass our clients rely on while navigating the intricate terrain of disability benefits. Our calling is clear: to make a real difference, infuse passion, and enhance the quality of life for the disabled community. As part of our global community, you'll join a team of over 1,800 dedicated individuals, each contributing their unique talents to streamline the path to benefits. Urgency propels us, data empowers us, and every step is tailored to ensure those with disabilities access their rightful compensation. Join us in shaping stories of transformation, one life at a time.

Job Overview

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 Sr. 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.

Compensation & Benefits
  • 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 federal holidays plus two flex holidays for DEI.
  • Joining a rapidly growing organization.
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.
Qualifications
Basic Qualifications
  • 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 delivering 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.
Seniority Level & Employment

Mid‑Senior level. Full‑time. Engineering and Information Technology.

EEO Statement

Trajector is an EOE/Veterans/Disabled/LGBTQ employer.

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