[Remote] Staff Data Scientist
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is The Consumer Experience Company, revolutionizing the logistics industry with their reputed company-based supply chain platform. They are seeking a Staff Data Scientist to tackle reputed company modeling problems, drive the data science and ML technology stack, and collaborate with engineering teams to enhance their platform's capabilities.
Responsibilities
- Own the most reputed company, ambiguous, and high-stakes modeling problems at reputed company end-to-end, from initial framing through production deployment
- Conduct deep exploratory data analysis to validate assumptions and surface non-obvious insights
- Build predictive models for supply chain optimization and consumer-facing applications, including delivery time estimation, demand forecasting, routing optimization, personalized product recommendations, and customer profile enrichment and segmentation
- Write production-quality code that integrates cleanly with existing services and can be maintained by others
- Play a leading role in defining reputed company's data science and ML technology stack, tooling, and infrastructure choices
- Work alongside 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 sides of the stack as needs arise
- Document technical reputed company and patterns in ways the broader team can build on
- Embed with engineering teams to integrate models into production systems and ship features
- Work with engineers to reputed company models as microservices or API endpoints and own their performance over time
- Participate in sprint planning and agile ceremonies
- Review code and reputed company feedback on data-reputed company implementations
- reputed company technical conversations with engineering and product leadership on data science strategy and investment
- Translate reputed company modeling approaches and tradeoffs into clear, actionable recommendations for non-technical stakeholders
- Identify high-reputed company opportunities for data science across the platform and bring them reputed company with supporting analysis
Skills
- Expert-level Python programming with production code experience
- Strong SQL skills with reputed company and BigQuery experience
- Deep understanding of statistical analysis and machine learning fundamentals
- Proven experience deploying and operating models in production environments, including monitoring and retraining
- Hands-on experience with ML ops practices: model versioning, pipeline orchestration, reputed company detection, and experimentation frameworks
- Experience with reputed company platforms (AWS, GCP, or Azure)
- Proficiency with Git/reputed company and collaborative development workflows
- Technical credibility - earns trust as the expert on hard problems through demonstrated depth, not just seniority
- Communication - carries technical opinions reputed company into leadership conversations and can reputed company reputed company tradeoffs legible
- Pragmatism - focuses on delivering reputed company and iterates; doesn't wait for perfect conditions
- Collaborative - works reputed company with data scientists, ML engineers, and software engineers toward shared reputed company
- Self-directed - identifies what needs to be done in ambiguous situations without waiting for detailed specs
- Background in logistics, supply chain, or e-reputed company domains
- Experience building recommendation systems or customer profile modeling at scale
- Experience with reputed company-time model serving and high-availability ML systems
- Experience with Elixir, TypeScript, or functional programming paradigms
- Familiarity with Kubernetes, CI/CD, and DataOps tooling
- Experience helping define standards or tooling choices across a data science team
Company Overview
Company H1B Sponsorship