[Remote] Data Scientist

Note: The job is a remote job and is open to candidates in USA. Diversity Nexus is recruiting a Data Scientist for a remote and onsite role in San Jose, California. The role focuses on predictive modeling, statistical analysis, machine learning, data integration, feature engineering, and deploying and documenting models in production while translating data findings into actionable business insights.

Responsibilities

• Deploying models into production
• Strong understanding of Data Integration, Feature Engineering, and working with both structured and unstructured datasets
• Experience with Model Documentation and tracking experiments (e.g., MLflow,DVC, or Jupyter) and a commitment to reproducible research practices
• Excellent analytical and mathematical skills, with a strong attention to detail when validating data integrity and model performance
• Strong written and verbal communication skills, including the ability to translate complex data findings and statistical metrics into actionable business insights for non-technical stakeholders
• Proven ability to work independently, manage end-to-end data projects (from discovery to deployment), and thrive in a fast-paced, data-driven setting

Skills

• 4+ years of primary, hands-on experience in Data Science and Predictive Modeling, with a strong foundation in a production environment
• Demonstrable, hands-on knowledge and proficiency with Python and SQL (a must-have requirement for this role), including libraries such as Pandas, Scikit-learn, andNumPy
• 3+ years of dedicated experience in Statistical Analysis, Machine Learning (ML)algorithms, and deploying models into production
• Strong understanding of Data Integration, Feature Engineering, and working with both structured and unstructured datasets
• Experience with Model Documentation and tracking experiments (e.g., MLflow,DVC, or Jupyter) and a commitment to reproducible research practices
• Excellent analytical and mathematical skills, with a strong attention to detail when validating data integrity and model performance
• Strong written and verbal communication skills, including the ability to translate complex data findings and statistical metrics into actionable business insights for non-technical stakeholders
• Proven ability to work independently, manage end-to-end data projects (from discovery to deployment), and thrive in a fast-paced, data-driven setting
• Work Experience 5-7Years

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