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Minimum Data Set Jobs in Austin, TX (NOW HIRING)

Apple

AIML Data Operations Team Lead

Austin, TX

... set by leadership. You will support employees' success through establishing relationships and ... Systems Minimum Qualifications Experience in contact center or similar dynamic environment ...

LanceSoft Inc

Data Entry Clerk / Document Coding

Austin, TX

$16.75 - $22.50/hr

... set of customers across various industries in the United States. Headquartered in Virginia ... Qualifications Knowledge and ability in the use of PCs (computer literacy) Keyboarding at a minimum ...

Cook & Boardman

Data Technician III

Hutto, TX · On-site

... Minimum Qualifications • OSHA 10 • Demonstrate ability to ask applicable questions and ... set, etc....) • Basic alert cabling terminations (speakers, horns...etc.) • Familiarity with ...

Cook & Boardman

Data Technician III

Hutto, TX · On-site

... Minimum Qualifications • OSHA 10 • Demonstrate ability to ask applicable questions and ... set, etc....) • Basic alert cabling terminations (speakers, horns...etc.) • Familiarity with ...

1 point system

Senior Data Engineer

Austin, TX · On-site

$105K - $142K/yr

Interview Process 4 rounds minimum At least 1-2 panel interviews (1 hour each) Additional round may ... You'll lead with strong engineering fundamentals, partner across teams, and help set the standards ...

Apple

AIML Data Operations Team Lead

Austin, TX · On-site

... set by leadership. You will support employees' success through establishing relationships and ... Minimum Qualifications Experience in contact center or similar dynamic environment supervising 20 ...

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Minimum Data Set information

What are some common challenges faced by Minimum Data Set (MDS) coordinators, and how can they be addressed?

MDS Coordinators often encounter challenges such as staying up-to-date with frequent regulatory changes, ensuring the accuracy of assessments, and managing tight deadlines. These challenges can be addressed by engaging in ongoing education, utilizing checklists and software tools to track assessments, and fostering strong communication with interdisciplinary team members. Building collaborative relationships with nursing staff and administrators also helps in streamlining processes and maintaining compliance with federal and state regulations.

What is the difference between Minimum Data Set vs Nursing Assistant?

AspectMinimum Data SetNursing Assistant
Required CredentialsCertification in healthcare assessment, often mandated for SNF staffCertified Nursing Assistant (CNA) certification
Work EnvironmentSkilled nursing facilities, long-term care, rehab centersHospitals, nursing homes, long-term care facilities
Employer & Industry UsageUsed by healthcare providers for patient assessments and care planningEmployers for direct patient care and support roles

The Minimum Data Set (MDS) is a comprehensive assessment tool used primarily in long-term care facilities to evaluate patient needs and plan care. Nursing Assistants (NAs) provide direct patient care and are often involved in implementing care plans based on MDS assessments. While both roles are integral to patient care in similar settings, MDS focuses on assessment and documentation, whereas NAs focus on hands-on care delivery.

What is a Minimum Data Set (MDS) coordinator?

Minimum Data Set (MDS) coordinators are healthcare professionals, often registered nurses, who are responsible for assessing and documenting the clinical needs of residents in long-term care facilities. They complete the federally mandated MDS assessments, which help determine care plans, reimbursement, and the quality of care provided to residents. MDS coordinators ensure that assessments are accurate, timely, and comply with regulations. Their work is crucial for maintaining facility compliance and optimizing resident outcomes.

What are the key skills and qualifications needed to thrive as a Minimum Data Set (MDS) coordinator?

To thrive as a Minimum Data Set (MDS) Coordinator, you need a strong background in nursing, detailed knowledge of care assessment processes, and typically a valid RN or LPN license. Familiarity with MDS software, electronic health records (EHRs), and regulatory compliance systems such as CMS guidelines is essential. Excellent organizational skills, attention to detail, and strong communication abilities help ensure accurate assessments and effective interdisciplinary collaboration. These skills are vital to ensure regulatory compliance, maximize reimbursement, and deliver high-quality patient care in long-term care settings.
What are popular job titles related to Minimum Data Set jobs in Austin, TX? For Minimum Data Set jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Minimum Data Set jobs in Austin, TX look for? The top searched job categories for Minimum Data Set jobs in Austin, TX are:
Minimum Data Set jobs near you
Infographic showing various Minimum Data Set job openings in Austin, TX as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

AI Data Intelligence Leader - WW Channel Sales

Apple

Austin, TX • On-site

$55.25 - $73/hr

Full-time

Re-posted 28 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Apple's WW Channel Sales & Operations organization builds AI systems that predict optimal coverage, run experiments autonomously, and deliver decision intelligence across all global sales programs. In an increasingly agentic world, these models don't just inform human decisions - they power autonomous agents that act on them at global scale. This role owns the product vision and ML strategy for the decision intelligence platform that enables both people and agents to make better decisions, faster.
Description
You will own CSO's decision intelligence platform end-to-end: defining what it should do, building the ML models that power it, and scaling it globally. This spans predictive coverage models, an experimentation and uplift engine, a unified data management system across all sales programs, and the real-time visibility layer that surfaces automated insights to program leaders.
The primary consumers of your models and intelligence layer are AI agents that make autonomous decisions. This changes what data quality means, what latency is acceptable, and how systems need to be designed. You'll lead a team of data scientists while partnering with a separate data engineering team for pipeline and infrastructure work, and a separate full-stack development team for product surfaces - though increasingly, agents will handle much of the integration and delivery work themselves.
Minimum Qualifications
15+ years in data science, ML, or AI product leadership, with 5+ years managing technical teams
Experience owning ML model portfolios in production - predictive models, experimentation systems, or decision intelligence products with measurable business outcomes
Strong understanding of production data systems (Spark, Databricks, Kafka, Airflow, Snowflake, or equivalent) - sufficient to define requirements, set quality contracts, and partner effectively with a data engineering team
Strong fluency in SQL, Python, and cloud data platforms (GCP/AWS)
Understanding of how AI agents and LLMs consume data: retrieval patterns, context engineering, freshness requirements, and quality guarantees needed for autonomous decision making
Track record of treating data quality as a product feature, not a cleanup task
Proven ability to lead through influence across teams you don't directly manage - especially data engineering and product development teams
Proven ability to translate between technical teams and senior leadership - making complex AI and data concepts concrete and decision-relevant
BS/MS in Computer Science, Data Engineering, or related discipline
Preferred Qualifications
Experience with predictive analytics in retail, channel, or field operations - coverage models, staffing optimization, or demand forecasting
Background in causal inference, experimentation platforms, or uplift modeling
Experience building or leading agentic AI systems in production
Experience scaling ML products globally across multiple markets with varying data availability
Understanding of data privacy and governance in contexts where AI systems autonomously access and act on business data
A design-minded sensibility - valuing simplicity, trust, and user empathy as much as model performance

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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