Data Scientist San Jose, CA
Listed on 2026-08-30
-
IT/Tech
Machine Learning/ ML Engineer, Data Scientist, AI Engineer (Applied/Software), Data Analyst
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 Num Py.
- 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
- Num Py
- 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 | Num Py
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/Num
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