Senior Full-Stack Data Scientist - Simulation bei Symbotic

Who we are

With its A.I.-powered robotic technology platform, Symbotic is changing the way consumer goods move through the supply chain. Intelligent software orchestrates advanced robots in a high-density, end-to-end system – reinventing warehouse automation for increased efficiency, speed and flexibility.

What we need

As a Data Science Engineer, you will play a key role in the development of data pipelines and infrastructure for simulation, machine learning and re-enforcement learning.  We’re seeking a versatile Data Science Engineer who thrives at the intersection of software, data engineering and data science. You’ll be responsible for building robust data pipelines, architecting scalable infrastructure, and automating advanced analytics and machine learning to solve real-world business problems. If you love both wrangling messy data and building models that drive decisions, this role is for you.

You’ll be part of a cross-functional team that blends software engineering, system design, and data science to drive strategic decisions and optimize complex systems.

What you'll do

• Design, build, and maintain scalable ETL/ELT pipelines.

• Develop and optimize data architectures for simulation, analytics and machine learning.

• Ensure data quality, integrity, and security across systems.

• Analyze large datasets to uncover trends, patterns, and actionable insights.

• Build, validate, and deploy predictive models and machine learning algorithms.

• Conduct A/B testing and statistical analysis to support decision-making.

• Visualize data and communicate findings to technical and non-technical stakeholders.

• Work closely with product managers, analysts, and software engineers to simulate new and existing robots and systems.

• Advocate for data-driven decision-making across the organization.

What you'll need

• A bachelor’s or master’s degree in Computer Science, Data Science, Statistics, or related discipline provides the academic foundation for success.

• Minimum of 6 years of experience in data engineering and/or data science roles.

• Experience with data transformation, ETL pipelines, and data wrangling using tools like Python, Pandas, NumPy, or SQL.

• Experience with ML and cloud computing models and tools for training in simulation, MLOps and model deployment pipelines.

• Direct experience with data science workflows: experimentation, statistical analysis, and visualization.

• Knowledge of real-time data processing (Kafka, Flink).

• Familiarity with BI tools (Tableau, Power BI, Looker).

• Familiarity with machine learning frameworks (scikit-learn, TensorFlow, PyTorch)

• Excellent verbal and written communication skills to effectively represent the derived results and to technical and non-technical audiences

• Ability to work independently and collaboratively in a fast-paced, iterative environment.

Our environment

• Up to 10% of travel may be required. Employees must have a valid driver’s license and the ability to drive and/or fly to client and other customer locations.

• The employee is responsible for owning a credit card and managing expenses personally to be reimbursed on a bi-weekly basis.

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About Symbotic

Symbotic is an automation technology leader reimagining the supply chain with its end-to-end, AI-powered robotic and software platform. Symbotic reinvents the warehouse as a strategic asset for the world’s largest retail, wholesale, and food & beverage companies. Applying next-gen technology, high-density storage and machine learning to solve today's complex distribution challenges, Symbotic enables companies to move goods with unmatched speed, agility, accuracy and efficiency. As the backbone of commerce the Symbotic platform transforms the flow of goods and the economics of supply chain for its customers. For more information, visit www.symbotic.com.

We are a community of innovators, collaborators and pioneers who embrace our differences, because we know unique perspectives make us stronger and smarter. Every perspective matters. We depend on the collective voices of our employees, customers and community to help guide us as we build a better place to work – for you and the world. That’s why we’re proud to be an equal opportunity employer. 

We do not discriminate based on race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information.