Sr. Data Scientist (58405)

Who we are:

Premium Guard, Inc, a privately held company, was established in 1996. We are a leading supplier of private label solutions in the automotive aftermarket. We have an exceptional commitment to performance, innovation, and partnership in the automotive aftermarket industry. Our focus is on designing, manufacturing and distributing products for automotive, diesel, power-sports and specialty filter markets.

We are seeking a Senior Data Scientist to design, develop, and deploy machine learning and artificial intelligence solutions that drive business decision-making and operational excellence. This role combines predictive modeling, statistical analysis, data engineering, and business partnership to solve complex problems and deliver measurable value across the organization.

The ideal candidate is equally comfortable building production-grade machine learning models, communicating findings to executive leadership, and collaborating with engineers, analysts, and business stakeholders. They possess a strong foundation in statistics and machine learning, hands-on experience working with large and complex datasets, and a track record of deploying solutions that influence business outcomes

Key Responsibilities

What You'll Do

Machine Learning & AI

• Develop, validate, deploy, and monitor machine learning models that support forecasting, optimization, customer intelligence, operational decision-making, and business growth.
• Design and implement advanced predictive models using supervised and unsupervised learning techniques.
• Perform feature engineering, model selection, hyperparameter tuning, and performance evaluation.
• Establish model governance processes, including documentation, explainability, fairness assessments, and monitoring.

Data Science & Analytics

• Translate business challenges into analytical frameworks and data-driven solutions.
• Conduct exploratory analysis, statistical testing, forecasting, and causal analysis to identify actionable insights.
• Present analytical findings and recommendations to technical and non-technical audiences, including senior leadership.
• Create dashboards, analytical products, and decision-support tools that improve business performance.

Data Engineering & Cloud Platforms

• Partner with data engineers to design scalable data pipelines and feature stores.
• Work with large structured and unstructured datasets across cloud environments.
• Build and optimize data workflows using modern cloud technologies and distributed computing frameworks.
• Support data quality, governance, and reproducibility standards across analytics initiatives.

Cross-Functional Leadership

• Collaborate with Product, Operations, Finance, Supply Chain, Sales, and IT teams to identify opportunities for AI and advanced analytics.
• Mentor junior data scientists and analysts.
• Contribute to the organization's AI strategy, best practices, and technical standards roadmap.
• Lead analytical projects from ideation through deployment and business adoption.