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2 results for Big Data Engineer in St. Louis, MO
- Saint Louis, MO
- onsite
- Temporary
- 50 - 70 USD / Hourly
- <p><strong>About the Role</strong></p><p>We’re seeking a Data Scientist to help build predictive models, develop advanced analytics solutions, and uncover insights that drive strategic decision‑making. This role partners closely with data engineering, analytics, business leaders, and product stakeholders to solve complex problems using statistical modeling, machine learning, and exploratory analysis.</p><p><strong>Key Responsibilities</strong></p><ul><li>Build, train, and validate predictive and statistical models using Python, R, or similar tools.</li><li>Conduct data exploration, feature engineering, and hypothesis testing across large, complex datasets.</li><li>Develop machine learning pipelines and deploy models into production environments.</li><li>Partner with cross‑functional teams to translate business needs into analytical solutions.</li><li>Build dashboards, presentations, and visualizations to communicate insights clearly.</li><li>Evaluate model performance and monitor metrics to ensure operational accuracy and stability.</li><li>Work with data engineers on data quality, pipeline optimization, and scalable architectures.</li><li>Document methodologies, assumptions, and model outputs for technical and non‑technical audiences.</li></ul><p></p>
- 2026-03-20T00:00:00Z
- Saint Louis, MO
- onsite
- Temporary
- 40 - 50 USD / Hourly
- <p><strong>About the Role</strong></p><p>We’re seeking a Data Analyst to support reporting, analytics, and data-driven decision-making across the organization. This individual will extract, transform, analyze, and present data to business leaders, helping improve operations, customer experience, and strategic outcomes.</p><p><strong>Key Responsibilities</strong></p><ul><li>Collect, clean, and validate data from multiple systems (ERP, CRM, cloud platforms, internal databases).</li><li>Build dashboards, reports, and visualizations using tools such as Power BI, Tableau, or Excel.</li><li>Perform trend analysis, KPI tracking, and ad‑hoc analytics to support business decisions.</li><li>Partner with IT, finance, operations, and leadership teams to understand data needs and deliver insights.</li><li>Develop SQL queries, joins, stored procedures, and dataset pipelines for reporting.</li><li>Monitor data integrity and recommend process/data quality improvements.</li><li>Translate complex data findings into clear, actionable recommendations for non‑technical stakeholders.</li></ul><p><br></p>
- 2026-03-20T00:00:00Z