Data Scientist

About the Opportunity

CareerTakes is sourcing on behalf of a confidential client in the manufacturing industry seeking a Data Scientist to transform complex organizational data into insights that drive smarter business decisions. This role sits within the company’s Data Systems team, where you’ll work closely with engineers, analysts, and business leaders to develop predictive models, improve forecasting, and enhance operational performance across the organization. The position follows a hybrid work schedule, allowing flexibility between the Buena Park and Riverside offices.

Work Model

Hybrid schedule with the following options

• 3 days on-site in Buena Park, 1 day in Riverside, 1 day remote
• 3 days on-site in Riverside, 1 day in Buena Park, 1 day remote

What You’ll Do

Data Analysis & Modeling

• Analyze large and complex datasets to uncover trends, correlations, and opportunities for operational improvement
• Develop predictive models and machine learning algorithms to support forecasting and performance optimization
• Design statistical models to improve production efficiency, resource planning, and lead time management

Data Integration & Automation

• Collaborate with engineering teams to integrate predictive models into ERP, CRM, and business intelligence systems
• Automate data workflows and model updates to enable real-time insights
• Contribute to building unified data pipelines that support advanced analytics across the organization

Visualization & Communication

• Translate technical analyses into clear insights and dashboards using Power BI or similar tools
• Partner with teams across operations, sales, finance, and HR to support data‑driven decision making
• Present findings and recommendations to both technical and non‑technical stakeholders

Continuous Improvement

• Research emerging AI, machine learning, and automation technologies to improve business intelligence capabilities
• Monitor model performance and refine approaches to improve predictive accuracy
• Support the growth of data literacy across the organization through documentation and knowledge sharing

What We’re Looking For

• Bachelor’s degree in Data Science, Statistics, Computer Science, or related field
• 4+ years of experience in data modeling, analytics, or predictive analysis
• Strong experience with SQL and Power BI or similar data visualization tools
• Knowledge of statistical modeling, machine learning, and data visualization techniques
• Familiarity with ERP data structures and Microsoft 365 data tools (Power Automate, Copilot, Excel)
• Strong analytical thinking and the ability to translate complex data into actionable insights

Preferred

• Master’s degree in a related field
• Experience working with manufacturing or operational data environments

Compensation

Estimated compensation up to $60 per hour (W2) depending on experience, skills, and qualifications.

Equal Opportunity & Hiring Transparency

CareerTakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind.

To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision‑making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.