Data Scientist

We are seeking an AI/ML Data Scientist for our client for a remote position

US Citizens or Green Card Holders ONLY!!

No C2C

No Third Party Agencies

Were hiring a hands-on Data Scientist with strong AI/ML engineering skills to help design and build AI/ML solutions across cloud platforms. You'll work with business and engineering partners to translate business problems into measurable, scalable AI/ML services - including GenAI agents, production ML models, and lightweight internal apps.

What you'll do

• Partner with business and engineering teams to translate problems into measurable AI/ML solutions and success metrics.

• Design, train, validate, and deploy models for classification, regression, recommendation, and time-series forecasting; pick algorithms, features, and evaluation strategies that match business goals.

• Develop and evaluate GenAI agent applications using frameworks like Langchain and Google ADK, leveraging techniques such as RAG, prompt engineering, and vector DB integration.

• Build and operate reliable data pipelines and model inference endpoints across GCP and AWS (BigQuery, Vertex AI, Cloud Run, S3, Lambda, SageMaker, etc.).

• Implement CI/CD, automated testing, and monitoring for ML/data projects (GitHub Actions, Cloud Build, CodeBuild/CodePipeline).

• Create lightweight dashboards and internal apps (Streamlit, Plotly Dash) to deliver models and insights to stakeholders.

• Write clear model documentation: problem formulation, modeling approach, validation, data needs, and deployment steps.

• Advocate for coding best practices, reproducibility, and shared documentation across a global data science organization.

Required qualifications

• Masters + 1+ years, or a PhD in Data Science, Computer Science, Applied Math/Statistics, Econometrics, or related quantitative field.

• Strong Python and SQL skills; experience with scikit-learn, XGBoost/LightGBM, and a deep learning framework (PyTorch or TensorFlow).

• Hands-on experience building GenAI/LLM applications and agentic workflows.

• Practical experience building reliable data pipelines and ensuring data quality/lineage on GCP (BigQuery).

• CI/CD experience for ML/data projects (e.g., GitHub Actions, Cloud Build, AWS CodeBuild/CodePipeline, etc).

• Practical experience building internal dashboards/apps with Streamlit and/or Plotly Dash.

• Cloud experience with GCP (BigQuery, Vertex AI, Cloud Run, Gemini Enterprise) and AWS (S3, Lambda, ECS, SageMaker).

• Solid comprehension of the mechanisms behind widely used AI/ML algorithms - including their intuition, assumptions, statistical theory, computational complexity, strengths/weaknesses, and when to use each.