Data Scientist

Envision; United States; Remote; USD 90,000 - 120,000; Full time

Job summary

A leading tech firm is seeking an AI/ML Data Scientist for a remote position. The successful candidate will partner with business teams to implement AI/ML solutions and have a strong background in Python, SQL, and cloud technologies. This role requires a Master's degree plus experience in data science. Responsibilities include training models for forecasting, building data pipelines, and creating dashboards to deliver insights. The position offers a full-time contract and is ideal for those with a passion for AI/ML applications.

Qualifications

• Masters + 1+ years or PhD in a quantitative field is required.
• Strong Python and SQL skills are mandatory.
• Experience with CI/CD for ML/data projects is essential.

Responsibilities

• Partner with teams to create AI/ML solutions and success metrics.
• Train and deploy models for various applications including forecasting.
• Build reliable data pipelines across GCP and AWS platforms.

Skills

Python

SQL

scikit-learn

XGBoost

LightGBM

PyTorch

TensorFlow

GenAI/LLM applications

Cloud experience

Education

Masters in Data Science, Computer Science, Applied Math/Statistics, Econometrics

PhD in relevant field

Tools

GCP

AWS

Streamlit

Plotly Dash

Job description

AI/ML Data Scientist (Remote)

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.

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.

Additional Information

• Seniority level: Associate
• Employment type: Full-time
• Job function: IT Services and IT Consulting