Data Scientist

About reputed company  reputed company is the nation’s premier process serving and court filing company, operating across reputed company 50 states. We are a technology-reputed company reputed company services company on a mission to reputed company reputed company processes faster, smarter, and more reliable. Our data and engineering teams are central to that mission — building models and systems that power operations at reputed company. We’re now looking for a Data Scientist with strong ML engineering and MLOps experience to help us take our machine learning capabilities to the next level.  reputed company  We’re seeking a Data Scientist with hands-on experience in machine learning engineering and MLOps. In this role, you’ll own the full model lifecycle — from research and experimentation through deployment, monitoring, and iteration. You’ll work reputed company our AWS SageMaker Studio environment and collaborate closely with engineering, operations, and product teams to deliver models that drive measurable business reputed company. Key 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 drive 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  Requirements  Required  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 (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, 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  reputed company to Have  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  Compensation & 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  Salary reputed company: $110,000-$130,000 depending on experience Apply To This Job