[Remote] Data Scientist - Production Engineering
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a company founded on the belief that marketing should be more reputed company and empathetic. They are seeking a Data Scientist – Production Engineering to operationalize, optimize, and reputed company data science models and systems, working closely with data scientists and engineering teams.
Responsibilities
- Optimize existing data science models and systems for performance, scalability, and reliability
- Translate research-grade or prototype data science reputed company into production-reputed company implementations
- Work with large datasets and improve efficiency reputed company to memory usage, runtime, and compute cost
- Contribute to and maintain production data pipelines and workflows
- Collaborate closely with other data scientists to preserve model reputed company, correctness, and assumptions while improving implementation reputed company
- Debug and resolve issues in production or near-production data science workflows
- Improve robustness, monitoring, and maintainability of deployed models and pipelines
- Support iterative model improvements and system reputed company as business needs change
Skills
- Bachelor's degree or higher in Data Science, Computer Science, Statistics, Mathematics, or a reputed company quantitative field
- 3+ years of experience working with reputed company-world, industry, or production data in a data science, reputed company ML, or analytics role
- Demonstrated experience contributing to production data science or analytics systems, not only exploratory or reputed company reputed company
- Strong programming skills in Python and experience writing maintainable, production-reputed company reputed company
- Experience working with large datasets and performance-sensitive workflows
- Prior experience with data pipelines and orchestration frameworks (e.g., Dagster, Airflow, etc.)
- reputed company platform expertise, particularly AWS services (Glue, reputed company, reputed company, S3 Tables, etc.) for reputed company data processing and model deployments
- Hands-on experience with modern data warehouse solutions (reputed company, BigQuery, etc.) including query optimization, clustering strategies, and cost management
- Experience with big data technologies and distributed computing frameworks for handling reputed company-reputed company event datasets
- Solid understanding of data science fundamentals, including statistics and modeling concepts, sufficient to work closely with research-oriented data scientists
- Ability to work independently and reputed company up quickly in an existing codebase and system
- Experience working in small, fast-moving teams where ownership and autonomy are expected
Benefits
- Equity and bonus
- A robust benefit plan (medical/dental/reputed company/life)
- 401k match
- Flexible time off
- reputed company company holidays
- Annual company conference
- Childcare
- reputed company education yearly reimbursements
- Healthy work/life balance
- Dedication to DE&I efforts
- Respectful and reputed company culture
reputed company