Applied Machine Learning Engineer at Strata Decision Technology

Chicago, Illinois, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

HealthcareIndustries

Requirements

Strong experience implementing ML models in Python
Familiarity with regression, embeddings, causal inference, and optimization techniques
Experience applying statistical methods to exploratory data analysis (EDA)
Comfort working with modern ML libraries and frameworks (e.g., PyTorch, NumPy, Pandas, Polars, PyMC)
Experience with languages & libraries: Python, PyTorch, NumPy, Pandas, Polars, PyMC
Familiarity with infrastructure: AWS, Snowflake, Docker, GitHub
Bonus
Worked with NLP tasks (LLMs, spaCy, neural networks)
Recommender systems, latent factors, matrix factorization
Graph algorithms
Claude Code, Docker, and GitHub

Responsibilities

Read and translate the latest research (e.g., arXiv papers) into production-ready solutions in Python
Prototype and iterate on machine learning models, focusing on areas such as regression, causal inference, optimization, and vector embeddings
Collaborate with cross-functional teams (architects, data scientists, agentic AI developers, platform engineers, product team) to embed ML and AI capabilities into the software platform
Partner with data scientists to design experiments and apply statistical concepts to real-world data
Optimize, test, and scale ML models to support mission-critical healthcare analytics
Develop next-generation AI agents, algorithms, and computation engines

Skills

Python

PyTorch

NumPy

Pandas

Polars

PyMC

AWS

Snowflake

Docker

GitHub

Regression

Vector Embeddings

Causal Inference

Optimization

Multi-Armed Bandit

Mixed Integer Programming

Bayesian Priors

Clustering

Probabilistic Modeling

Strata Decision Technology

Financial planning and analytics software provider

About Strata Decision Technology

Strata Decision Technology provides financial planning, analytics, and performance management software primarily for the healthcare sector. Their main product, StrataJazz, is a platform that assists organizations with budgeting, forecasting, and cost accounting. It helps clients make informed financial decisions, improve operational efficiency, and reduce costs, particularly in the challenging financial landscape of healthcare. Strata stands out from competitors by focusing specifically on the unique financial needs of hospitals and healthcare systems, leveraging insights from a large user community to enhance their solutions. The company's goal is to support organizations in achieving better financial outcomes, ultimately impacting patient care and sustainability.

Chicago, IllinoisHeadquarters

1996Year Founded

ACQUISITIONCompany Stage

Consulting, Enterprise Software, HealthcareIndustries

201-500Employees

Benefits

Hybrid Work Options

Flexible Work Hours

Performance Bonus

Risks

Decline in bariatric surgeries may reduce demand for Strata's analytics solutions.

Rising drug and supply costs could lead to budget cuts affecting Strata's software.

Integration with Syntellis may pose challenges and disrupt service delivery.

Differentiation

Strata offers SaaS solutions tailored for healthcare financial analytics and decision support.

StrataJazz platform excels in budgeting, forecasting, and cost accounting for healthcare.

Strata's 18-year history ensures top-rated customer satisfaction in healthcare IT.

Upsides

Integration with Syntellis enhances Strata's insights and accelerates innovation.

Rising AI adoption in finance offers Strata opportunities to expand analytics solutions.

Two-Midnight Rule expansion may increase demand for Strata's financial planning tools.

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