Senior Data Scientist

Job Summary
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Symbotic is an automation technology leader reimagining the supply chain with its AI-powered robotic and software platform. They are seeking a Senior Data Scientist to analyze performance across automation systems, collaborate with engineering and operations, and apply advanced analytics to drive improvements.

Responsibilities
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• Independently analyze and model performance across robotic and non-robotic automation systems (e.g., conveyors, sorters, robotic arms, WES/WCS software).

• Dive deeply into data to uncover inefficiencies, bottlenecks, and root causes—going well beyond standard dashboards.

• Identify gaps in telemetry and partner with software teams to define new data contracts and instrumentation within a microservice-based, event-driven architecture.

• Design and implement foundational data models and KPIs for automation system performance.

• Build dashboards, visualizations, and analytical tools that clearly communicate trends, patterns, and performance drivers.

• Translate complex analytical findings into clear recommendations for engineering, operations, and leadership.

• Collaborate closely with engineering teams to influence automation behavior, system rules, and architectural decisions based on analytical insights.

• Establish scalable frameworks for performance monitoring, data governance, and cross-site analytics.

• Apply advanced analytics or AI/ML techniques where appropriate to identify leading indicators of degradation, bottlenecks, or systemic inefficiencies.

• Launch repeatable analysis processes across multiple warehouse deployments.

• Maintain a regular communication cadence with stakeholders to ensure insights translate into operational improvements.

• Act as a subject-matter expert in automation performance analytics, mentoring peers informally and raising analytical standards across the organization.

Qualifications
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Required
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• Bachelor’s degree or higher in Data Science, Engineering, Applied Mathematics, or a related technical field.

• Minimum of 8 years of experience in data analytics, performance engineering, or automation systems analysis—ideally in logistics, manufacturing, or warehousing environments.

• Strong proficiency with SQL and Python (or similar), with experience using platforms such as Snowflake, Big Query, or equivalent.

• Experience with data visualization tools such as Tableau, or Grafana.

• Solid understanding of microservices and event-driven architectures (e.g., Kafka, Rabbit

MQ) and extracting insight from distributed systems.

• Proven ability to operate independently in ambiguous, data-scarce environments and build analytical structure from scratch.

• Strong written and verbal communication skills, with experience presenting complex insights to senior technical and operational audiences.

• Exposure to structured logging and telemetry pipelines (e.g., ELK, Loki, Prometheus).

• Experience applying AI/ML techniques for predictive analytics, anomaly detection, or system modeling (e.g., scikit-learn, Tensor Flow, Azure ML).

• Understanding of queuing theory, simulation modeling, or performance benchmarking in automated environments.

Company
:
Symbotic is a provider of integrated supply network automation solutions for warehouses and distribution centers. Founded in 2005, the company is headquartered in Wilmington, USA, with a team of 501-1000 employees. The company is currently Late Stage.