Staff Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of complex, ambiguous, and high-stakes modeling challenges at Stord from initial framing to production deployment.

• Perform in-depth exploratory data analysis to validate assumptions and uncover non-obvious insights.

• Develop predictive models for supply chain optimization and consumer-facing applications, which include delivery time estimation, demand forecasting, routing optimization, personalized product recommendations, and customer profile enrichment and segmentation.

• Produce high-quality production code that integrates seamlessly with existing services and is maintainable by others.

• Play a pivotal role in determining Stord's data science and ML technology stack, as well as tooling and infrastructure selections.

• Collaborate with fellow data scientists and ML ops to establish standards and best practices for model development, deployment, monitoring, and retraining.

• Contribute to both the data science and ML ops aspects of the stack as necessary.

• Document technical decisions and patterns in a manner that allows the broader team to build upon them.

• Collaborate with engineering teams to integrate models into production systems and deliver features.

• Work with engineers to deploy models as microservices or API endpoints, ensuring their performance over time.

• Engage in sprint planning and agile ceremonies.

• Review code and provide feedback on data-related implementations.

• Lead technical discussions with engineering and product leadership regarding data science strategy and investments.

• Convert complex modeling methods and trade-offs into clear, actionable recommendations for non-technical stakeholders.

• Identify high-impact opportunities for data science across the platform and present them with supporting analysis.

⛳️ Requirements

• Expert-level proficiency in Python programming with practical production code experience.

• Strong SQL skills, particularly with Postgres and BigQuery.

• Comprehensive understanding of statistical analysis and machine learning principles.

• Demonstrated experience in deploying and maintaining models in production environments, including monitoring and retraining practices.

• Hands-on knowledge of ML ops practices such as model versioning, pipeline orchestration, drift detection, and experimentation frameworks.

• Experience with cloud platforms like AWS, GCP, or Azure.

• Proficiency in Git/GitHub and collaborative development workflows.

• Technical credibility, earning trust as an expert in difficult problems through demonstrated expertise rather than just seniority.

• Strong communication skills, capable of articulating technical opinions in leadership discussions and making complex trade-offs understandable.

• Pragmatic approach, focused on delivering functional solutions and iterating rather than waiting for ideal conditions.

• Collaborative mindset, working openly with data scientists, ML engineers, and software engineers toward shared goals.

• Self-directed, able to identify necessary actions in ambiguous situations without waiting for detailed specifications.

🏝️ Benefits

• Stord is an equal opportunity employer and values diversity.

• We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

• Stord participates in E-verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.