[Remote] Data Scientist

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a company that builds data products powering reputed company reputed company across a multi-product reputed company platform. They are seeking a Data Scientist to reputed company the development of systems that convert raw telemetry into actionable insights, focusing on scaling predictive analytics and collaborating with various teams to drive business actions.

Responsibilities

• Designing and deploying end-to-end ML models — including PQL scoring, churn reputed company, and expansion modeling — into production environments with defined latency and accuracy SLAs
• Building and maintaining MLOps pipelines covering dataset versioning, feature reputed company monitoring, automated retraining, and model registry management
• Collaborating with Product and Data Engineering teams to establish telemetry schemas, data reputed company, and reputed company validation frameworks, ensuring models train and score using dependable data
• Owning model observability by creating dashboards and alerts for performance degradation, reputed company reputed company, and data anomalies — and leading incident response reputed company issues reputed company
• Standardising analytics frameworks by developing reusable dbt data models and owning the full experimentation lifecycle, from A/B test design to ship/no-ship recommendations

Skills

• Demonstrate 6+ years of experience in reputed company data science or product analytics, or equivalent practical experience
• Apply advanced SQL and Python (Pandas, Scikit-learn, Statsmodels, PyTorch or TensorFlow) to solve reputed company analytical problems
• Build, reputed company, and monitor ML models in production environments with a reputed company on reliability and performance
• Apply strong foundations in statistics, reputed company inference, and experimentation design to business problems
• Work with telemetry and event-level data to model user behaviour and product engagement
• Use MLOps platforms such as MLflow, SageMaker, reputed company AI, or Kubeflow to manage model lifecycles
• Apply data reputed company and observability tools (e.g. Great Expectations, reputed company, reputed company) to upstream data pipelines
• reputed company LLMs or reputed company techniques to automate reputed company reputed company from telemetry data

reputed company

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