Data Scientist

Job Category: Data Scientist
Job Type: Hybrid
Job Location: Massachusetts Plymouth
Compensation: Depends on Experience
W2: W2-Contract Only; Kindly note that applications on a C2C basis will not be considered for this role.

Job Description:

Required Skills & Experience:
  • 10+ years of experience in Data Science, Machine Learning, Artificial Intelligence, and Advanced Analytics.
  • Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • Proven track record of delivering impactful AI/ML solutions, research initiatives, and enterprise-scale data science projects.
  • Strong expertise in Deep Learning, Natural Language Processing (NLP), Generative AI, and Large Language Models (LLMs).
  • Hands-on experience in setting up AI/GenAI infrastructure, model deployment, MLOps, and scalable AI platforms.
  • Extensive experience with Prompt Engineering, LLM fine-tuning, Retrieval-Augmented Generation (RAG), vector databases, and AI agents.
  • Strong programming skills in Python and/or Java.
  • Proficiency with machine learning and deep learning frameworks such as TensorFlow, PyTorch, Scikit-learn, Hugging Face, and related AI ecosystems.
  • Experience designing and implementing end-to-end AI solutions, from data ingestion and model development to production deployment.
  • Expertise in data engineering, feature engineering, model optimization, and performance monitoring.
  • Strong knowledge of cloud platforms such as AWS, Azure, or GCP for AI/ML workloads.
  • Experience working with structured and unstructured data at enterprise scale.
  • Excellent analytical, problem-solving, and communication skills.
  • Ability to collaborate effectively with cross-functional teams, stakeholders, and business leaders.
Top Skill (Must Have):
  • Extensive hands-on experience with Palantir Foundry
    • Building data pipelines and workflows
    • Ontology development and data modeling
    • AI/ML solution deployment within Foundry
    • Data integration, transformation, and operational analytics
    • Foundry Workshop, Code Repositories, and Machine Learning applications
Preferred Qualifications:
  • Publications, patents, or significant contributions in AI, Deep Learning, NLP, or Generative AI.
  • Experience with knowledge graphs, vector databases, and enterprise AI platforms.
  • Experience leading AI initiatives and mentoring junior data scientists.
  • Familiarity with MLOps tools, CI/CD pipelines, and model governance frameworks.