Top 12 Sava solutions Jobs

Data Scientist
Lifekind Health —Scottsdale, AZ
- $80,000 - $120,000 a year
- Full-time
- Hybrid work
- HIPAA
- Office
- Master's degree
- AD&D insurance
- Disability insurance
Quick Apply
Unarmed Security Guard-Part Time
Savas Security Solutions —Denver, CO
- From $21 an hour
- 8 hour shift
- Background check
- 18 years or older
- Clean driving record
- Paid time off
- Professional development assistance
Quick Apply
10d
Clinic Manager
Lifekind Health —Phoenix, AZ
- $80,000 - $90,000 a year
- Full-time
- Nursing
- Mid-level
- 3 years
- Disability insurance
- Health insurance
Quick Apply
Senior Sales Engineer
Savas Labs —New York, NY
- $125,000 - $135,000 a year
- Full-time
- Hybrid work
- Up to 50% travel
- Research
- Office
Quick Apply
Shift Supervisor
Burger King —Logan, WV
- Part-time
- 18 years or older
- Computer literacy
- Sanitation
Quick Apply
Junior Project Manager
Savas Management Center LLC —Scottsdale, AZ
- $80,000 - $95,000 a year
- Full-time
- Computer science
- Computer Science
- Mid-level
Quick Apply
6d
Physician Assistant
Lifekind Health —Phoenix, AZ
- $95,000 - $105,000 a year
- Weekends as needed
- Spanish
- English
- Mid-level
- Disability insurance
- Health insurance
Quick Apply
Enablement Manager
Lifekind Health —Scottsdale, AZ
- $100,000 - $140,000 a year
- Full-time
- Hybrid work
- Computer Science
- 5 years
- Office
- Disability insurance
- Health insurance
Quick Apply
Internal Medicine Physician
Lifekind Health —Victorville, CA
- $280,000 - $310,000 a year
- Full-time
- Medicine
- Internal Medicine
- Pass drug screening
- Disability insurance
- Health insurance
Quick Apply

I want to receive the latest job alert for sava solutions

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

sava solutions jobs near

Data Scientist

Lifekind Health -
Scottsdale, AZ

Quick Apply

Job Details

Full-time
$80,000 - $120,000 a year

Benefits

AD&D insurance
Disability insurance
Health insurance
Dental insurance
401(k)
Flexible spending account
Vision insurance

Qualifications

AI models
Data modeling
Data visualization software proficiency
Data Integration (Data management)
Statistics
Azure Function proficiency
Predictive modeling analysis
Data validation techniques
GLM
Ensemble learning
Visual storytelling
Data quality assurance
NumPy
HIPAA
AI platforms (beyond public GPTs)
Reporting and dashboarding tools
Prompt engineering
Master's degree
SQL
Pandas
Production systems
Machine learning cloud services
Business intelligence tools
Machine intelligence
XGBoost
Model deployment
Clinical performance metrics
Applied research
Azure Data Factory
NER

Full Job Description

Savas Software/Lifekind Health is seeking a technically strong, impact-driven Data Scientist with experience building ML-based predictive products and advanced analytics (including LLM based) in real-world environments. In this role, you will work with diverse and complex healthcare datasets—EHR, scheduling, billing, claims, structured & unstructured clinical data—to design, train, and deploy machine learning models that directly influence patient care, operational performance, and clinical efficiency.

This is a high-ownership, hands-on role where you’ll help shape our intelligent data platform, build production-ready features, experiment with models, and collaborate with engineering teams to deploy AI products. If you enjoy solving messy, high-impact healthcare problems using AI, this role is for you.

This is not a remote position. You must live in the Scottsdale, AZ area and work in our office 3 days per week. Relocation assistance is not available. Visa sponsorship is not available.

Our mission is to bring care that’s whole, human, and healing. Blending medical, behavioral, and lifestyle support into a single plan because restoring life takes more than a prescription.

Savas Software is a pioneering healthcare technology company dedicated to transforming clinical operations through innovative, integrated software solutions. Our mission is to empower healthcare organizations with tools that streamline workflows, enhance patient care, and ensure operational continuity. Through a unified approach to development, support, architecture, and enablement, we help clinics focus on what matters most—patient outcomes.

Machine Learning & Predictive Analytics:

Develop and deploy AI/ML models that power key products such as:

Procedure Appropriateness
Patient no-show prediction
Appointment optimization
Clinical risk stratification
Patient adherence forecasting
Providerutilizationand throughput prediction

Perform feature engineering using clinical, operational, and financial data
Experiment with algorithms (tree-based models, GLMs, ensemble methods, NLP, deep learning whereappropriate)
Evaluate models using rigorous statistical and ML performance metrics
Collaborate with ML Engineering to productionize models on Azure

Technical Environment (Azure AI/ML & Analytics):

You’ll work within a modern AI/ML and analytics stack, including:

LLMs:Open AI, Anthropic Claude
Core Languages:Python, SQL
Libraries & Frameworks:Scikit-learn,XGBoost,LightGBM, Pandas, NumPy, NLP libraries
Visualization:Power BI, Plotly, Matplotlib, Seaborn

Data Analysis & Insights:

Conduct exploratory data analysis (EDA) on EHR, scheduling, billing, and procedural data to uncover trends, biases, and quality issues
Translate clinical guidelines and workflows into computable, data-driven logic
Generate actionable insights that drive clinical and operational decision-making

Data & Feature Pipelines:

Transform raw healthcare data into modeling-ready datasets (structured + unstructured)
Implement data validation, quality checks, and scalable transformation logic
Collaborate with Data Engineering to ensure high-quality, well-governed data pipelines

LLMs, NLP & Unstructured Data (Nice-to-Have but Valuable):

Work with LLMs (Open AI, Anthropic Claude) to research and conceptualize recommendations
Apply basic NLP techniques to extractsignalfrom clinical notes and operational text
Explore entity extraction, rule-based labeling, embedding-based features, etc.

Visualizations & Storytelling:

Create dashboards and data visualizations using Power BI or Python to communicate insights
Present findings and recommendations to clinicians, operations leaders, and executives

What Success Looks Like:

Production-ready ML models that drive measurable improvements in clinical operations
High-quality datasets, features, and reproducible pipelinespoweringour AI platform
Actionable insights that influence patient outcomes and reduce operational friction
Ability to independently drive complex data projects end-to-end with minimal supervision

Our Ideal Candidate will have the following qualifications:

2 or more years of experience in data science, machine learning, or applied analytics
Strong Python + advanced SQL skills for data manipulation, modeling, and EDA
Experience developing and evaluating ML models in real-world environments
Experience with healthcare datasets (EHR, claims, clinical notes, billing, scheduling) is a strong advantage
Familiarity with HIPAA, PHI handling, and healthcare data governance
Strong understanding of feature engineering, statistical methods, and model validation
Ability to clearly communicate technical concepts to non-technical stakeholders
Exposure to Prompt Engineering and working with LLMs (Open AI, Anthropic Claude) preferred
Experience with Azure Data Factory, Azure Functions, Azure Open AI preferred
Master’s degree in Data Science, CS, Statistics, Biomedical Informatics, or related field preferred

Generous salary and benefits package includes:

Medical, dental, and vision coverage options for you and eligible dependents
Free basic Life/AD&D, Short-Term, and Long-Term Disability policies for those enrolled in medical, plusadditionalvoluntary coverage options
401(k) Retirement plan
Medical and Dependent Care Flexible Spending Accounts
Generous vacation, sick, and holiday benefits

Lifekind Health and Savas Software are an Equal Opportunity Employer. We value a diverse workforce and inclusive workplace. People of color, people with disabilities, and lesbian, gay, bisexual, and transgender people are encouraged to apply. We consider all applicants without regard to race, color, ancestry, religion, gender, gender identity, gender expression, national origin, age, disability, socio-economic status, marital or veteran status, pregnancy status or sexual orientation.

Quick Apply

Refine Your Search

sava solutions jobs

Data Scientist

Unarmed Security Guard-Part Time

Clinic Manager

Senior Sales Engineer

Shift Supervisor

Junior Project Manager

Physician Assistant

Enablement Manager

Internal Medicine Physician

I want to receive the latest job alert for sava solutions

Explore jobs in more locations

Job Seeker Tools

Employer Tools

Browse

Stay Connected