Data Scientist (hybrid onsite)

We are hiring a Data Scientist to start immediately for a leading manufacturing company in Buena Park.

• This is a Direct Hire position, up to 60/hour on W2


• This is a hybrid on site position. 3 days on site in Buena Park, 1 day on site in Riverside and 1 day remote OR 3 days on site in Riverside, 1 day on site in Buena Park, and 1 day remote based on the candidate's preference


• Bachelor Degree required, Master Degree Preferred


• 4+ years of experience in data modeling, analytics, or predictive analysis; proficient in SQL and Power BI or similar tools; strong knowledge of statistical analysis, machine learning, and data visualization techniques; familiar with ERP data structures and MS 365 data tools (power automate, copilot, excel)

The Data Scientist transforms organizational data into actionable insights that drive smarter decisions, improved operations, and business growth. This role combines statistical modeling, programming, and business acumen to deliver predictive analytics, automation, and performance intelligence across departments. As part of the Data Systems Team, the Data Scientist collaborates with engineers, analysts, and business leaders to design models that enhance forecasting accuracy, streamline processes, and support data-informed strategy company-wide.

Key Responsibilities:

Data Analysis & Modeling

• Analyze large and complex datasets to identify key trends, correlations, and improvement opportunities.


• Build and validate predictive models and machine learning algorithms to support demand forecasting, production efficiency, and customer insights.


• Design statistical models to optimize operations, reduce waste, and improve lead time and resource planning.

Integration & Automation

• Collaborate with the Data Engineer and Software Systems Team to integrate models into ERP, CRM, and BI systems.


• Automate data workflows and model updates to ensure real-time insights.


• Contribute to the development of unified data pipelines that support predictive and prescriptive analytics.

Visualization & Communication

• Translate technical analyses into clear, actionable business insights through Power BI dashboards, reports, and presentations.


• Partner with functional leaders (Operations, Sales, Finance, HR) to support data driven decision-making.


• Present findings and model outcomes in accessible formats for non-technical stakeholders.

Continuous Improvement & Innovation

• Research emerging analytics techniques, AI tools, and automation technologies to enhance organizational intelligence.


• Evaluate model performance and continuously refine approaches to improve predictive accuracy and reliability.


• Support development of enterprise data literacy through mentorship and documentation.

All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, and Los Angeles County Fair Chance Ordinance.