Data Scientist & ML Engineer - Production Analytics (Hybrid)

York Solutions, LLC; Minnetonka (MN); Híbrido; USD 120.000 - 180.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical plan

Dental plan

Vision plan

Life insurance

401(k)

Voluntary benefits

Flexible work arrangements

Team environment

Learning & development

Descripción de la vacante

York Solutions, LLC is seeking a Data Scientist / ML Engineer to design and operationalize analytics and machine learning solutions on large healthcare datasets. You will build anomaly detection, pattern recognition, predictive models, and monitoring, and move experiments into production.

You will collaborate with engineering, architecture, and business teams to assemble reliable pipelines, automated model workflows, and enterprise integrations, applying ML and MLOps practices in a hybrid

Formación

• Strong experience in Data Science, ML, statistics, and analytics.
• Proficient in Python and SQL with large datasets.
• Experience deploying models to production and ML workflows.
• Ability to explain methodologies and results clearly.
• Healthcare domain knowledge is a plus.

Responsabilidades

• Design and maintain anomaly detection and pattern recognition systems across healthcare datasets.
• Develop reusable feature engineering components for enterprise use cases.
• Apply NLP and ML techniques to unstructured data to surface signals.
• Create production-grade ML pipelines with data prep, training, validation and monitoring.
• Develop CI/CD workflows for data science solutions and model versioning.
• Monitor model performance, data quality, drift, and pipeline health.
• Integrate models with APIs and enterprise applications.
• Communicate findings and limitations to technical and non-technical stakeholders.

Conocimientos

Statistics

Machine Learning

Python

SQL

Data wrangling

Production deployment

MLOps

Anomaly detection

Communication

Herramientas

Snowflake

Azure

Containerized DS

Descripción del empleo

York Solutions, LLC is seeking a Data Scientist / ML Engineer to design and operationalize analytics and machine learning solutions on large healthcare datasets. You will build anomaly detection, pattern recognition, predictive models, and monitoring, and move experiments into production.

You will collaborate with engineering, architecture, and business teams to assemble reliable pipelines, automated model workflows, and enterprise integrations, applying ML and MLOps practices in a hybrid