The Cardiac Technician assists nursing staff in monitoring heart rhythms of patients on telemetry, interprets dysrhythmias, performs electrocardiographs, and manages clerical operations of the EKG area.
Responsibilities
Monitor heart rhythms on telemetry
Interpret dysrhythmias and notify nursing staff
Perform electrocardiographs in Non-Invasive Cardiology
Prepare data for physician interpretation
Transcribe, file, and report EKG results
Requirements
High School diploma or equivalent
Nice to have: Prior training in EKG rhythm strip interpretation
Contribute to the design and deployment of data initiatives that deliver accurate, timely, and actionable insights for decision making.
Compensation
The expected annual salary range for this position based on the primary location for this position of Oceanside, California is $160,992 to $180,600 per year. Actual pay within the range will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance.
Responsibilities
Design and deploy data initiatives
Improve digital performance management tools
Own lifecycle management of Digital Performance Management tools
Translate operational priorities into performance measures
Collect, validate, and analyze operational, quality, and delivery data
Requirements
Bachelor’s degree in Science, Engineering, or Data Analytics
Develops, interprets, and implements statistical, financial, and accounting concepts and quantitative techniques to support credit risk modeling, financial forecasting, model monitoring, and reporting.
Responsibilities
Apply statistical theory, econometric methods, and quantitative techniques to collect, organize, validate, interpret, and summarize numerical and text data to provide usable information.
Interpret quantitative data and design statistical models for researching problems or questions.
Perform data analysis using statistical programming software such as Python, R, or SAS, with emphasis on accuracy, reproducibility, data quality, and effective analytical controls.
Analyze and interpret data to identify trends, patterns, anomalies, and emerging risks that may affect performance, model results, or estimates.
Develop and maintain analytical programs, reusable scripts, data validation routines, and automated workflows that improve the efficiency and consistency of quantitative processes.
Requirements
Bachelor's degree in Statistics, Mathematics, Mathematics, or Economics with a strong quantitative concentration, Data Science, or another closely related quantitative discipline.
Master's degree in Statistics, Mathematics, Economics, or Data Science
Support the John Deere Financial Global Fraud team by maintaining, validating, and enhancing risk-based analytical models and providing analytical support across other domains within the GOA team.
Responsibilities
Maintain, assess, validate, and enhance risk-based models supporting Global Fraud detection, operational prioritization, and decision making
Develop and apply analytical models and methods to address evolving fraud risks and business needs
Analyze data to identify patterns, anomalies, emerging risks, and opportunities to improve model effectiveness
Partner with Global Fraud, GOA leadership, and other business and technical stakeholders to understand business questions, define analytical requirements, and establish measures of success
Build and maintain repeatable data preparation, testing, model assessment, and validation processes
Requirements
Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, Finance, Analytics, or a related quantitative field
Lead complex AI/ML initiatives, design, develop, evaluate, and operationalize enterprise AI solutions, mentor junior data scientists, and collaborate across engineering and product teams.
Compensation
The range listed is just one component of BMC's employee compensation package. The annual base salary range represents the low and high end of the BMC salary range for this position. Actual salaries depend on a wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training, licensure, and certifications; other business and organizational needs. The range listed is zł 251,025 - zł 418,375
Responsibilities
Design and develop AI/ML solutions
Evaluate and operationalize models
Mentor junior data scientists
Collaborate with AI Engineering and Platform Engineering
Lead technical decisions
Requirements
Bachelor’s degree in Machine Learning, Statistics, Data Science, Physics, Computer Science, or a related field
Utilizes software engineering principles to deploy and maintain fully automated data transformation pipelines that combine a large variety of storage and computation technologies to handle a distribution of data types and volumes in support of data architecture design.
Responsibilities
Understand business use of data and stakeholder requirements to support work processes and strategic business objectives
Leverage data, software engineering, and data science techniques to create business value through data accessibility. Includes data ingestion, data preparation and analytics processing.
Identify, acquire, cleanse & prepare, store data and develop data products aligned with defined architecture patterns
Responsible for normalizing and ingesting data from multiple sources.
Enable data scientists, making data available for advanced analytics models, and contributing to models.
Requirements
BS in Computer Science
Management Information Systems
Computer Engineer or related fields or equivalent experience
Develop and deliver AI solutions, manage roadmap, pilot and production releases, evaluate datasets, provide user guidance and support multilingual operations.
Compensation
Competitive Salary: RM 4,000 - RM 5,000
Responsibilities
Develop AI delivery roadmap with use cases, data dependencies, business owners, baselines and acceptance criteria
Test pilots and production releases for agreed priority initiatives, supported by reusable integrations and documented operating procedures
Create evaluation datasets, monitoring dashboards and benefit reports showing quality, adoption, operating cost and operational impact
Provide user guidance, technical handover and a feedback loop that improves recommendations, knowledge and forecasts after deployment
As a Data Analyst / Visualization Senior Consultant, you will help transform complex operational and infrastructure data into meaningful insights that inform programs, policies, and performance decisions.
Compensation
The annual salary range for this position is $113,000.00-$188,000.00.
Responsibilities
Collect, clean, validate, and analyze data from multiple sources.
Develop and maintain dashboards, reports, and data visualizations using tools such as Power BI and Tableau.
Design and develop workflow applications and automated processes using Microsoft Power Platform, including Power Apps and Power Automate.
Identify opportunities to streamline manual processes through automation.
Translate business needs into analytical, reporting, and workflow requirements.
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