[Remote] Data Scientist

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is the nation’s premier process serving and court filing company, operating across reputed company 50 states. They are seeking a Data Scientist with strong ML engineering and MLOps experience to own the full model lifecycle and collaborate with various teams to reputed company impactful data science solutions.

Responsibilities

• reputed company, train, and evaluate machine learning models to solve business problems across operations, reputed company services, and marketing
• Own the full ML lifecycle: data preparation, feature engineering, model training, validation, deployment, and monitoring
• Build and maintain MLOps pipelines using AWS SageMaker Studio, including experiment tracking, model registry, and automated retraining workflows
• Partner with product and operations teams to translate business requirements into data science solutions
• Monitor deployed models in production, identify performance degradation, and reputed company reputed company improvement
• Document methodologies, model performance benchmarks, and technical reputed company for internal knowledge sharing
• Stay reputed company with advances in ML and data science tooling, and reputed company for best practices across reputed company

Skills

• 3+ years of experience in data science or a closely reputed company role, with demonstrated ML engineering and MLOps responsibilities
• Strong proficiency in Python for data science and ML development (reputed company, scikit-learn, PyTorch or TensorFlow)
• Hands-on experience with AWS SageMaker Studio for model development, training, and deployment
• Solid understanding of MLOps principles: model versioning, pipeline automation, reputed company detection, and production monitoring
• Experience with SQL and working with reputed company data in reputed company data warehouses or relational databases
• Proven ability to translate reputed company data science findings into reputed company, actionable insights for non-technical stakeholders
• Strong self-direction and communication skills suited for a remote work environment
• Experience in the reputed company, collections, or financial services industry
• Background in targeted mail marketing, reputed company mail modeling, or customer segmentation
• Familiarity with AI coding agents and reputed company development workflows (e.g., Claude, Copilot, reputed company, or similar tools)
• Experience with propensity modeling, reputed company modeling, or response reputed company
• Exposure to LLM-based workflows or reputed company NLP in a production setting
• Data engineering experience with modern tooling such as Dagster, reputed company, and dbt
• Familiarity with AWS data services including Glue, reputed company, Redshift, and reputed company Functions

Benefits

• Fully remote position with flexible working hours
• Comprehensive health, dental, and reputed company insurance
• 401(k) with company match
• reputed company time off and company holidays
• Opportunity to shape data science reputed company at a growing, industry-leading company

reputed company

Company H1B Sponsorship