[Remote] Sr 14 + yrs of exp Data Scientist Artificial Intelligence (AI) Remote

Note: The job is a remote job and is open to candidates in USA. Dice is seeking a highly motivated Data Scientist with expertise in Artificial Intelligence (AI) and Machine Learning (ML) to develop data-driven solutions that support business objectives. The ideal candidate will analyze large datasets, build predictive models, and collaborate with cross-functional teams to transform data into actionable insights.

Responsibilities

• Collect, clean, and analyze structured and unstructured data from multiple sources
• Design, develop, and deploy machine learning and AI models for business applications
• Build predictive analytics, recommendation systems, forecasting models, and NLP solutions
• Develop and optimize generative AI, large language model (LLM), and deep learning applications
• Perform feature engineering, model training, validation, and performance tuning
• Create dashboards, reports, and visualizations to communicate insights to stakeholders
• Collaborate with data engineers, software developers, and business teams to implement AI solutions
• Monitor model performance and retrain models as needed
• Stay current with advancements in AI, machine learning, and data science technologies
• Ensure compliance with data governance, privacy, and ethical AI standards

Skills

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Artificial Intelligence, or a related field
• 3+ years of experience in data science, machine learning, or AI development
• Strong programming skills in Python, R, or similar languages
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Knowledge of SQL and database technologies
• Experience with data visualization tools such as Tableau, Power BI, or Matplotlib
• Understanding of statistical analysis, predictive modeling, and experimental design
• Experience working with cloud platforms such as AWS, Azure, or Google Cloud
• Experience with Generative AI and Large Language Models (LLMs)
• Knowledge of NLP, computer vision, reinforcement learning, or deep learning techniques
• Familiarity with MLOps, model deployment, and CI/CD pipelines
• Experience with vector databases, prompt engineering, and Retrieval-Augmented Generation (RAG)
• AI-related certifications are a plus

Company Overview

Company H1B Sponsorship