Data Scientist

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Data Scientist  
Remote 
Full Time / Permanent 

Essential Duties & Responsibilities

The essential functions include, but are not limited to the following

• Develop and deploy traditional machine learning models, including bias modeling, risk mitigation, and predictive analytics

• Build scalable ML models and end-to-end ML pipelines suitable for production environments

• Perform advanced data quality assessments, validation checks, and feature identification and analysis

• Evaluate bias in training data and recommend mitigation strategies aligned with responsible AI practices

• Design and implement intermediate models for risk scoring and predictive insights

• Apply Generative AI techniques, including prompt engineering, retrieval-augmented generation (RAG), and deployment of GenAI models

• Utilize and contribute to LLM evaluation frameworks to assess performance, accuracy, and reliability

• Collaborate closely with Product, Engineering, and Business teams to identify, refine, and deliver high-impact AI use cases

• Prepare trained models for production, including documentation, testing, and environment replication

• Monitor model performance and participate in ongoing model optimization and observability efforts

• Communicate complex analyses and results to technical and non-technical stakeholders

• Maintain thorough documentation and participate in continuous learning and knowledge sharing across the Data Science team

Minimum Qualifications (Knowledge, Skills, and Abilities) 
Education:

• Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or similar quantitative field; Master’s degree preferred 

Experience:

• Strong analytical thinking and problem-solving skills

• Ability to collaborate cross-functionally with product-focused teams

• Clear written and verbal communication skills

• Commitment to ethical, responsible, and high-quality AI development

• Big data querying experience using major cloud providers

• Data processing, cleaning, feature extraction, and exploratory data analysis

• Strong experience with machine learning and deep learning techniques and algorithms

• Generative AI experience, including:

• Prompt engineering and prompt optimization

• RAG vs. non-RAG architectures

• LLM evaluation methodologies

• Experience with AI agents, agentic AI systems, and multi-agent orchestration

• Model training, containerization, deployment, and performance monitoring

• Automation, observability, and lifecycle management of ML pipelines (MLDC / MLOps)

• Proficiency in Python and common ML libraries (e.g., scikit-learn, PyTorch, TensorFlow)

• Experience working with relational databases and large-scale structured and unstructured datasets

   

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Equal Employment Opportunity Statement
Gravity IT Resources is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other legally protected characteristic. All employment decisions are based on qualifications, merit, and business needs.