Data Scientist

Job Title: Data Scientist (AI / Machine Learning Focus)
Location: Remote (USA)

About the Role
We’re partnering with a growing organization looking to add a highly skilled Data Scientist to their team. This role sits at the intersection of machine learning, generative AI, and data engineering, with a strong emphasis on building intelligent systems that drive real business impact.

Key Responsibilities

• Develop, train, and optimize machine learning models for a variety of use cases including classification, regression, and clustering

• Design and implement generative AI solutions, including fine-tuning and deploying LLMs

• Create and refine prompt engineering strategies to improve AI model outputs and performance

• Build AI agents that combine machine learning, logic, and heuristics for decision-making and prioritization

• Conduct exploratory data analysis (EDA) and perform advanced feature engineering

• Develop robust evaluation frameworks using metrics such as F1-score, AUC-ROC, and BLEU

• Design and maintain scalable data pipelines for model training, testing, and deployment

• Monitor model performance in production, ensuring accuracy, efficiency, and ethical compliance

• Collaborate cross-functionally with engineering, product, and business teams

Required Skills & Experience

• Strong proficiency in Python, including hands-on experience with Pandas, NumPy, and Scikit-learn

• Solid background in machine learning techniques and frameworks such as TensorFlow or PyTorch

• Experience working with generative AI models (e.g., GPT, LLMs) and tools like OpenAI or Hugging Face

• Demonstrated expertise in prompt engineering and optimizing LLM performance

• Experience building and deploying end-to-end ML pipelines using tools like Databricks, Azure Data Factory, or similar platforms

• Strong understanding of model evaluation, validation techniques, and hyperparameter tuning

• Experience with data visualization tools such as Matplotlib and Seaborn

• Ability to translate complex data insights into actionable business recommendations

• Experience developing AI-powered applications or autonomous agents

• Familiarity with cloud platforms (Azure, AWS, or GCP)

• Knowledge of MLOps best practices and deployment strategies

If you’re passionate about building intelligent systems and pushing the boundaries of AI, this is a strong opportunity to make a real impact.