Predictive Data Analyst, Statistical Modeling & Analytics
Overview
They will own predictive analytics projects end-to-end for enterprise stakeholders in Los Angeles. Using Python, R, and SQL, they turn raw data into actionable forecasts that drive business decisions. They align with data science teams and business leaders to define data needs and measure project impact. This contract role offers 12+ months of engagement with potential extension, set in an onsite environment.
What You'll Do8
- 1Design predictive models with Python and R to forecast business outcomes.
- 2Drive stakeholder alignment by defining data requirements for advanced analytics initiatives.
- 3Build data pipelines in SQL to support analysis and modeling.
- 4Deliver insights through Tableau dashboards that inform executive decisions.
- 5Debug model performance and refine algorithms based on validation results.
- 6Scale data processing for large datasets using Spark.
- 7Lead data quality checks and ensure accuracy of model inputs.
- 8Collaborate with data engineers to integrate new data sources.
Requirements7
- 13+ years building predictive models with Python or R.
- 22+ years writing complex SQL queries for data extraction and aggregation.
- 31+ years creating visualizations with Tableau or Power BI.
- 41+ years working with Spark or similar distributed computing frameworks.
- 5Bachelor's degree in Statistics, Mathematics, Computer Science, or related field.
- 6Experience with machine learning libraries such as scikit-learn or TensorFlow.
- 72+ years collaborating with cross-functional teams in a business environment.
Salary Insight
Salary not disclosed in listing
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