Staff Data Scientist

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

📋 Description

• Oversee the design and execution of automated machine learning systems and foundational ML infrastructure.

• Make practical architectural decisions while developing production-level code.

• Convert vague business inquiries into specific technical plans.

• Lead the comprehensive deployment of resilient, maintainable ML products that are integrated into production systems.

• Collaborate with Engineering, Product, and Business teams to ensure alignment of technical strategy with business objectives and key metrics.

• Set standards for model development through design documentation and peer evaluations.

• Guarantee reproducibility and collaboration with Data and Analytics Engineering teams.

• Manage the complete model lifecycle from the initial data design phase to sustained performance and business value.

• Guide and support Senior and Mid-level Data Scientists.

• Create frameworks for growth, enhance supply chain processes, or improve marketing attribution.

⛳️ Requirements

• Over 8 years of experience in Data Science or Machine Learning Engineering.

• Demonstrated success in building production systems that yield measurable business outcomes.

• High level of expertise in Python and SQL.

• Expert experience with libraries such as pandas, NumPy, and scikit-learn.

• Familiarity with at least one major ML framework, like PyTorch or XGBoost/LightGBM.

• Capability to address unique challenges that require innovative thinking and extensive impact.

• Ability to develop solutions for long-term scalability while delivering immediate benefits.

• Proven capacity to influence others without direct authority.

• Skill in conveying complex technical concepts into engaging narratives for executive leadership.

• Experience with Continuous Integration/Continuous Deployment (CI/CD) and MLOps.

• Background in managing the entire lifecycle of models in a cloud-based production setting using AWS or GCP.

• Bachelor’s, Master’s, or PhD in a quantitative discipline or equivalent expertise.

• Preferred: experience transitioning initial machine learning models from exploratory notebooks to reliable, automated production pipelines.

• Preferred: background in customer behavior and propensity modeling, applied forecasting, optimization, or causal inference.

🏝️ Benefits

• Competitive salary.

• Equity compensation for full-time positions.

• Unlimited paid time off (PTO).

• Company-recognized holidays.

• Quarterly mental health days.

• Comprehensive medical, dental, and vision coverage.

• Parental leave.

• Employee Stock Purchase Program (ESPP).

• 401(k) benefits with employer matching contributions.

• Offsite team retreats.

• Talent-focused flexible and remote work options.