Senior Staff Engineer - Data Scientist

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Staff Engineer - Data Scientist in the United States.

This role offers a unique opportunity to lead advanced data science initiatives in the manufacturing domain, driving measurable improvements across production, operations, and supply chain processes. You will work on end-to-end data solutions, from integrating industrial systems and extracting real-time data to building predictive models and delivering actionable insights. The position blends hands-on engineering with strategic problem solving, allowing you to influence operational efficiency and decision-making at scale. Ideal candidates are skilled in cloud-based data pipelines, machine learning, and industrial protocols, and can communicate complex analyses effectively to both technical teams and executive stakeholders. You will collaborate across remote, global teams in a dynamic, innovative environment that values impact, learning, and cross-functional expertise.

Accountabilities

• Lead the development and deployment of predictive models for maintenance, anomaly detection, demand forecasting, and process optimization in manufacturing settings
• Build and optimize scalable cloud data pipelines for high-volume IoT and operational data using tools like Spark, Kafka, Airflow, and Delta Lake
• Integrate OT and IT systems including MES, SCADA, and ERP for real-time data extraction and analysis using industrial protocols such as OPC-UA, MQTT, and Modbus
• Apply statistical methods, Six Sigma, SPC, OEE, and lean methodologies to drive measurable gains in yield, uptime, and efficiency
• Translate complex model outputs into actionable insights and recommendations for operations and executive stakeholders
• Design and execute experiments and simulations to validate process improvements and quantify business impact
• Collaborate with cross-functional teams to ensure solutions align with business objectives and operational realities

Requirements

• 8-10 years of overall data science experience with 2-4 years in the manufacturing domain
• Strong proficiency in SQL and Python, with hands-on experience in medallion/lakehouse architectures on platforms like Databricks, Snowflake, AWS, or Azure
• Proven experience in building, deploying, and operationalizing ML models in industrial environments using scikit-learn, TensorFlow, or PyTorch
• Deep understanding of industrial operations, production planning, and systems (MES, SCADA, ERP)
• Expertise in data engineering, cloud data pipelines, and IoT data integration
• Solid grounding in statistical methods: time series analysis, regression, clustering, hypothesis testing
• Strong communication skills with the ability to convey technical insights to non-technical stakeholders
• Experience designing A/B experiments and process simulations to evaluate business impact
• Adaptable, collaborative, and capable of working in a fast-paced, remote, and cross-functional environment

Benefits

• Opportunity to work on cutting-edge data science projects in manufacturing and industrial operations
• Remote work with occasional travel across the United States
• Exposure to high-impact, enterprise-scale industrial data environments
• Collaborative, innovative, and non-hierarchical work culture
• Professional growth opportunities through hands-on experience with advanced ML and data engineering
• Competitive contract-to-hire compensation

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.