Senior Data Scientist

Oorwin Labs

• $120K — $145K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 6-9 years of experience in data science and machine learning
  • Proficient in Python and SQL
  • Hands-on experience with modern AI/ML frameworks like TensorFlow and PyTorch
  • Familiarity with Angular 16+ and related technologies
  • Knowledge of unit testing frameworks such as Jest and Playwright
  • Experience in building predictive and prescriptive machine learning models
  • Expertise in the AI/ML lifecycle, including deployment and governance

Responsibilities

  • Develop and implement machine learning models and algorithms
  • Evaluate and deploy Generative AI solutions
  • Conduct A/B testing and feature engineering for model improvement
  • Monitor and govern AI/ML models post-deployment
  • Collaborate with cross-functional teams to integrate AI solutions
  • Utilize modern frameworks for efficient model development
  • Ensure compliance with best practices in AI/ML governance

Benefits

  • Flexible work locations in Burlington, MA; Durham, NC; or Irving, TX
  • Opportunities for professional development and training
  • Access to cutting-edge AI/ML tools and technologies
  • Collaborative work environment with cross-functional teams
  • Potential for involvement in innovative AI projects
Full Job Description
Overview:

Data Scientist

Location: Burlington, MA or Durham, NC or Irving, TX

Primary Skills: Python, SQL, MLOps, and modern AI/ML development frameworks, AI/ML lifecycle, GenAI solutions including RAG, agentic AI workflows, LLM evaluation frameworks

  • Experience: 6 - 9 years
  • Job Description:
    • Experience with primary skills as Angular, Typescript, NgRx, RxJs, AI, ML, Python.
    • Hands on latest Angular version 16+ with Standalone components, Signals/change detection, Reactive Forms, PrimeNG, Angular Material, Ag-Grid and State Management.
    • Strong proficiency in Python, SQL, MLOps, and modern AI/ML development frameworks (Scikit-learn, TensorFlow, PyTorch, Hugging Face, AWS Sagemaker, etc.)
    • Knowledge of unit testing frameworks through Jest, Playwright.
    • Strong hands-on experience building predictive machine learning models, recommender systems, ranking models, and prescriptive optimization models
    • Expertise across the AI/ML lifecycle, including experimentation, A/B testing, feature engineering, model development, deployment, monitoring, measurement, and governance
    • Experience evaluating, deploying, and governing GenAI solutions, including RAG, knowledge retrieval, agentic AI workflows, LLM Finetuning, LLM evaluation frameworks.


Skills:

Python,SQL

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