Data Scientist

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🐊 Florida – Remote

🐊 Florida – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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ABC Legal Services

WebsiteLinkedInAll Job Openings

201 - 500 employees

🏢 Enterprise

🤝 B2B

📋 Compliance

Enterprise • B2B • Compliance

ABC Legal Services is a leading provider of service of process solutions in the United States. The company offers reliable and transparent legal document delivery across all 50 states and numerous countries, utilizing a vast network of professional process servers. With a focus on technology and efficiency, ABC Legal uses a mobile app to provide GPS-tracked evidence and real-time updates for every process serve. The firm is recognized for its comprehensive services, making it the trusted choice for law firms, government entities, and individuals seeking legal document services. ABC Legal also offers support in eFiling and various enterprise solutions.

📋 Description

• Develop, train, and evaluate machine learning models to solve business problems across operations, legal 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 drive continuous improvement • Document methodologies, model performance benchmarks, and technical decisions for internal knowledge sharing • Stay current with advances in ML and data science tooling, and advocate for best practices across the team

🎯 Requirements

• 3+ years of experience in data science or a closely related role, with demonstrated ML engineering and MLOps responsibilities • Strong proficiency in Python for data science and ML development (pandas, 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, drift detection, and production monitoring • Experience with SQL and working with structured data in cloud data warehouses or relational databases • Proven ability to translate complex data science findings into clear, actionable insights for non-technical stakeholders • Strong self-direction and communication skills suited for a remote work environment

🏖️ Benefits

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