Program Manager Perinatal Services - Nursing Admin CHRISTUS Health
San Antonio, TX1 day ago
Highlights
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Experience of working on a project end-to-end: problem scoping, data gathering, EDA, modeling, insights, and visualizations.
Numbers & Facts
| Location | San Antonio, TX |
Description
Required Skills:
- 10 years of relevant experience in data science, advanced statistics or business analytics
- Ability to Client effective solutions to complex problems.
- Strong skills in data-structures and algorithms.
- Experience of working on a project end-to-end: problem scoping, data gathering, EDA, modeling, insights, and visualizations
- Model building using various statistical tools (Python, etc.) and data modeling techniques using SQL, etc. along with regular validation of models as advised by management.
- Grasp at databases including RDBMS, NoSQL, MongoDB etc.
- Experience in data mining
- Exceptional interpersonal skills and written communication skills
- Strong experience in documenting model methodologies, performance and hypothesis testing
- Ability to evaluate risks and provide recommendations / solutions in a timely manner
- Experience using statistical computer languages (Python) to manipulate data and draw insights from large data sets. Experience working with data architectures.
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
- Must have MLOps experience
- Ability to understand a problem statement and implement analytical solutions techniques independently or with minimal supervision
- Work and collaborate with other teams to deliver and create value
- Identify valuable data sources and automate collection processes
- Undertake preprocessing of structured and unstructured data
- Analyze large amounts of information to Client trends and patterns
- Build predictive models and machine-learning algorithms
- Combine models through ensemble modeling
- Present information using data visualization techniques
- Propose solutions and strategies to business challenges
- should have good hands on experience on basic non linear Client techniques and able to explain the previous project experience PL language : Python
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