Job Title: Data Scientist – Contract jobs – San Jose, CA

Job Title: Data Scientist  – 10+yrs-  
San Jose, United States- onsite

client – Virtusa 

Need only H1

Job Summary
We are looking for an experienced Data Scientist with strong hands-on expertise in Python, SQL, Statistical Analysis, Machine Learning, and Predictive Modeling. The candidate will work on end-to-end data science projects, from data preparation and feature engineering through model development, deployment, and performance monitoring.
Key Responsibilities
Develop predictive models and machine learning solutions using Python.
Perform statistical analysis and identify patterns and trends in data.
Work with structured and unstructured datasets.
Perform data cleaning, validation, transformation, and feature engineering.
Develop and optimize ML models using Scikit-learn, Pandas, and NumPy.
Deploy machine learning models into production.
Track experiments and maintain model documentation using MLflow, DVC, or Jupyter.
Ensure data quality, model accuracy, and performance.
Analyze results and translate technical findings into actionable business insights.
Work independently on projects from data discovery through deployment.
Collaborate with business and technical teams to solve data-driven problems.
Required Skills
Python – Mandatory
SQL – Mandatory
Data Science
Predictive Modeling
Statistical Analysis
Machine Learning
Scikit-learn
Pandas
NumPy
Feature Engineering
Data Integration
Model Deployment
Structured & Unstructured Data
Preferred Skills
MLflow
DVC
Jupyter
Model Monitoring
MLOps
Production Machine Learning
Data Visualization
Cloud platforms
Git
Primary Skills
Python | SQL | Data Science | Machine Learning | Predictive Modeling | Statistical Analysis | Scikit-learn | Pandas | NumPy
Secondary Skills
Feature Engineering | Data Integration | MLflow | DVC | Jupyter | Model Deployment | MLOps | Model Documentation
Ideal Candidate
The ideal candidate should have 4+ years of hands-on Data Science experience, with strong expertise in Python, SQL, predictive modeling, statistical analysis, and machine learning.
The candidate must be comfortable taking ML projects from data discovery and feature engineering through model development and production deployment.
Recruiter Screening – Must Have
Python + SQL + Machine Learning + Predictive Modeling + Statistical Analysis + Scikit-learn + Pandas/NumPy
This is a hands-on Data Scientist role, not a Data Engineer or Data Architect position. Production ML/model deployment experience is also important.