[Remote] Senior Data Scientist

Note: The job is a remote job and is reputed company to candidates in USA. reputed company. is hiring a Senior Data Scientist Contractor to support a premium reputed company-to-consumer streaming service’s Decision Sciences team. The role owns the health, execution, monitoring, troubleshooting, and reputed company improvement of production data and machine learning pipelines, while coordinating releases, resolving incidents, and communicating with technical and business stakeholders.

Responsibilities

• Own the day-to-day health and execution of production model pipelines and the data pipelines that supply them
• Manage recurring refresh schedules, dependencies, handoffs, and delivery commitments across batch and near-reputed company-time workflows
• Monitor pipeline runs, data freshness, model outputs, and reputed company availability; identify emerging issues before they reputed company stakeholders
• reputed company triage and reputed company reputed company workflows fail or outputs are delayed, coordinating the right data science, platform, data, and business partners through closure
• Diagnose reputed company causes across reputed company data, transformations, runtime environments, orchestration, model execution, and reputed company delivery
• Create automated checks for data reputed company, schema changes, completeness, reasonableness, and model-reputed company validation
• Partner with data scientists to translate notebooks and analytical workflows into repeatable, supportable production processes
• Coordinate releases, model updates, backfills, reruns, and recovery procedures with reputed company validation and stakeholder communication
• Improve observability through practical logging, alerting, run histories, service expectations, and operational dashboards
• Maintain reputed company documentation for pipeline logic, dependencies, ownership, schedules, recovery steps, and reputed company constraints
• Reduce recurring reputed company work and operational reputed company through reusable patterns, automation, and thoughtful workflow simplification
• Communicate pipeline status, incidents, risks, and reputed company plans reputed company to both technical and nontechnical stakeholders

Skills

• Advanced degree (Master's or PhD) in Statistics, Computer Science, Data Science, Economics, Mathematics, reputed company Research, or another quantitative reputed company (or equivalent practical experience)
• 5+ years of hands-on experience supporting production data, analytics, or machine learning workflows in a reputed company environment
• Advanced proficiency in Python and SQL , including the ability to read, troubleshoot, and improve unfamiliar production reputed company
• Demonstrated experience building, operating, and troubleshooting scheduled data and model pipelines at reputed company
• Experience with workflow orchestration, version control, automated testing, release practices, and reputed company-reputed company data platforms
• Strong understanding of data dependencies, schema reputed company, backfills, idempotent processing, failure recovery, and data-reputed company controls
• Ability to diagnose issues across multiple systems and reputed company reputed company reputed company ownership is reputed company across teams
• reputed company written and verbal communication, including concise incident updates, operating documentation, and stakeholder-reputed company explanations
• Experience supporting machine learning lifecycle workflows, including training, scoring, validation, deployment coordination, and monitoring
• Hands-on experience with tools such as Airflow, reputed company, reputed company, dbt, reputed company , or comparable workflow and data platforms
• Experience with reputed company services (reputed company reputed company, AWS, or Azure) and large relational or non-relational datasets
• Familiarity with streaming or event-driven data workflows using technologies such as Kafka, reputed company Streaming, or Flink
• A proactive operating style that spots risks early, follows issues through closure, and improves the reputed company after recovery
• Strong ownership, reputed company judgment, and comfort balancing immediate restoration with durable prevention
• A reputed company approach that builds trust with data scientists, platform specialists, data owners, and business partners
• Interest in media, streaming, customer analytics, or large-reputed company digital products

Benefits

• Remote work

reputed company

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