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Data Scientist

D8ae58bf 18f0 4244 98b4 953bb86dc11b 19000101 000001 · Scottsdale, AZ, US, Scottsdale, AZ · Remote · Active · $80,000–$120,000 / year · ADP Workforce Now Recruiting

Job facts

FieldValue
CompanyD8ae58bf 18f0 4244 98b4 953bb86dc11b 19000101 000001
TitleData Scientist
Normalized title-
Department / team-
LocationScottsdale, AZ, United States
Work modelRemote / Remote
Employment typeFull Time
Salary$80,000–$120,000 / year
Statusactive
ATS providerADP Workforce Now Recruiting
Posted / first seen2026-04-08 / 2026-05-31
Changed / last seen2026-06-06 / 2026-06-06

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Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through ADP Workforce Now Recruiting.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Scottsdale.Open
Work model jobsActive Remote postings.Open
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Linked records

CompanyD8ae58bf 18f0 4244 98b4 953bb86dc11b 19000101 000001
Sourcec3df0c29-f5ce-4b1b-a074-db34066e2dce
ATS providerADP Workforce Now Recruiting

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 extract signal from 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 pipelines powering our 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.

Full job record

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Salary Min80,000
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First Seen At2026-05-31 18:55:09Z
Last Seen At2026-06-06 12:06:56Z
Last Checked At2026-06-06 12:06:56Z
Last Changed At2026-06-06 12:06:56Z
Inactive At—
Source Posted At2026-04-08 21:25:00Z
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    "requisitionDescription": "<div style='margin: 0px;padding: 0px;color: rgb(0, 0, 0);font-family: \"Segoe UI\", \"Segoe UI Web\", Arial, Verdana, sans-serif;font-size: 12px;font-style: normal;font-weight: 400;text-align: start;text-indent: 0px;text-transform: none;background-color: rgb(255, 255, 255);' data-pasted=\"true\"><p style=\"margin: 0px 0px 10.6667px;padding: 0px;font-weight: normal;font-style: normal;vertical-align: baseline;background-color: transparent;color: windowtext;text-align: center;text-indent: 0px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: normal;\"><span style=\"margin: 0px;padding: 0px;border-bottom: 1px solid transparent;\">Savas Software/Lifekind</span><span style=\"margin: 0px;padding: 0px;\"> Health is seeking a technically strong, impact-driven <strong>Data Scientist</strong> 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&mdash;EHR, scheduling, billing, claims, structured &amp; unstructured clinical data&mdash;to design, train, and deploy machine learning models that directly influence patient care, operational performance, and clinical efficiency.</span></span></p><p style=\"margin: 0px 0px 16px;padding: 0px;font-weight: normal;font-style: normal;vertical-align: baseline;background-color: rgb(255, 255, 255);color: windowtext;text-align: center;text-indent: 0px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: normal;\"><span style=\"margin: 0px;padding: 0px;\">This is a high-ownership, hands-on role where you&rsquo;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.</span></span></p><p style=\"margin: 0px 0px 10.6667px;padding: 0px;font-weight: normal;font-style: normal;vertical-align: baseline;background-color: transparent;color: windowtext;text-align: center;text-indent: 0px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: bold;\"><span style=\"margin: 0px;padding: 0px;\">This is not a remote position. &nbsp;You must live in the Scottsdale, AZ area and<span style=\" border-box;outline: none;--tw-shadow: 0 0 #0000;--tw-ring-inset: ;--tw-ring-offset-width: 0px;--tw-ring-offset-color: #fff;--tw-ring-color: rgba(59,130,246,.5);--tw-ring-offset-shadow: 0 0 #0000;--tw-ring-shadow: 0 0 #0000;color: rgb(0, 0, 0);font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-size: 15px;font-style: normal;font-variant-ligatures: normal;font-variant-caps: normal;font-weight: 700;letter-spacing: normal;orphans: 2;text-indent: 0px;text-transform: none;widows: 2;word-spacing: 0px;-webkit-text-stroke-width: 0px;white-space: normal;background-color: rgb(255, 255, 255);text-decoration-thickness: initial;text-decoration-style: initial;text-decoration-color: initial;margin: 0px;padding: 0px;\"> work in our office</span><span style=\"color: rgb(0, 0, 0);font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-size: 15px;font-style: normal;font-weight: 700;text-indent: 0px;text-transform: none;background-color: rgb(255, 255, 255);\"> </span><span style=\" border-box;outline: none;--tw-shadow: 0 0 #0000;--tw-ring-inset: ;--tw-ring-offset-width: 0px;--tw-ring-offset-color: #fff;--tw-ring-color: rgba(59,130,246,.5);--tw-ring-offset-shadow: 0 0 #0000;--tw-ring-shadow: 0 0 #0000;color: rgb(0, 0, 0);font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-size: 15px;font-style: normal;font-variant-ligatures: normal;font-variant-caps: normal;font-weight: 700;letter-spacing: normal;orphans: 2;text-indent: 0px;text-transform: none;widows: 2;word-spacing: 0px;-webkit-text-stroke-width: 0px;white-space: normal;background-color: rgb(255, 255, 255);text-decoration-thickness: initial;text-decoration-style: initial;text-decoration-color: initial;margin: 0px;padding: 0px;\">3 days per week.</span>&nbsp; Relocation assistance is not available. &nbsp;Visa sponsorship is not available.</span></span></p><p style=\"margin: 0px 0px 16px;padding: 0px;font-weight: normal;font-style: normal;vertical-align: baseline;background-color: rgb(255, 255, 255);color: windowtext;text-align: center;text-indent: 0px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: normal;\"><span style=\"margin: 0px;padding: 0px;\">Our mission is to bring care that&rsquo;s whole, human, and healing. Blending medical, behavioral, and lifestyle support into a single plan because restoring life takes more than a prescription.</span></span></p><p style=\"margin: 0px 0px 16px;padding: 0px;font-weight: normal;font-style: normal;vertical-align: baseline;background-color: rgb(255, 255, 255);color: windowtext;text-align: center;text-indent: 0px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: normal;\"><span style=\"margin: 0px;padding: 0px;\">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&mdash;patient outcomes.</span></span></p><p style=\"margin: 0px 0px 10.6667px;padding: 0px;font-weight: normal;font-style: normal;vertical-align: baseline;background-color: rgb(255, 255, 255);color: windowtext;text-align: left;text-indent: 0px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.55px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: bold;\"><span style=\"margin: 0px;padding: 0px;\">Machine Learning &amp; Predictive Analytics:</span></span></p><ul style=\"list-style-type: disc;\"><li style=\"margin-left: 24px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: normal;\"><span style=\"margin: 0px;padding: 0px;\">Develop and deploy AI/ML models that power key products such as:</span></span></li></ul><ul style=\"list-style-type: circle;\"><li style=\"margin-left: 72px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: normal;\"><span style=\"margin: 0px;padding: 0px;\">Procedure Appropriateness</span></span></li><li style=\"margin-left: 72px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: normal;\"><span style=\"margin: 0px;padding: 0px;\">Patient no-show prediction</span></span></li><li style=\"margin-left: 72px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: normal;\"><span style=\"margin: 0px;padding: 0px;\">Appointment optimization</span></span></li><li style=\"margin-left: 72px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: normal;\"><span style=\"margin: 0px;padding: 0px;\">Clinical risk stratification</span></span></li><li style=\"margin-left: 72px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: normal;\"><span style=\"margin: 0px;padding: 0px;\">Patient adherence forecasting</span></span></li><li style=\"margin-left: 72px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: normal;\"><span style=\"margin: 0px;padding: 0px;\">Providerutilizationand throughput prediction</span></span></li></ul><ul style=\"list-style-type: disc;\"><li style=\"margin-left: 24px;\"><span data-contrast=\"auto\" lang=\"EN-US\" class=\"TextRun SCXW17954954 BCX8\" style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: normal;\"><span class=\"NormalTextRun SCXW17954954 BCX8\" style=\"margin: 0px;padding: 0px;\">Perform feature engineering using clinical, operational, and financial data</span></span></li><li style=\"margin-left: 24px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: normal;\"><span style=\"margin: 0px;padding: 0px;\">Experiment with algorithms (tree-based models, GLMs, ensemble methods, NLP, deep learning whereappropriate)</span></span></li><li style=\"margin-left: 24px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: normal;\"><span style=\"margin: 0px;padding: 0px;\">Evaluate models using rigorous statistical and ML performance metrics</span></span></li><li style=\"margin-left: 24px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: normal;\"><span style=\"margin: 0px;padding: 0px;\">Collaborate with ML Engineering to productionize models on Azure</span></span></li></ul></div><div style='margin: 0px;padding: 0px;color: rgb(0, 0, 0);font-family: \"Segoe UI\", \"Segoe UI Web\", Arial, Verdana, sans-serif;font-size: 12px;font-style: normal;font-weight: 400;text-align: start;text-indent: 0px;text-transform: none;background-color: rgb(255, 255, 255);'><p style=\"margin: 0px 0px 16px;padding: 0px;font-weight: normal;font-style: normal;vertical-align: baseline;background-color: rgb(255, 255, 255);color: windowtext;text-align: left;text-indent: 0px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: bold;\"><span style=\"margin: 0px;padding: 0px;\">Technical Environment (Azure AI/ML &amp; Analytics):</span></span></p><p style=\"margin: 0px 0px 16px;padding: 0px;font-weight: normal;font-style: normal;vertical-align: baseline;background-color: rgb(255, 255, 255);color: windowtext;text-align: left;text-indent: 0px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: normal;\"><span style=\"margin: 0px;padding: 0px;\">You&rsquo;ll work within a modern AI/ML and analytics stack, including:</span></span></p><ul style=\"list-style-type: disc;\"><li style=\"margin-left: 24px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: bold;\"><span style=\"margin: 0px;padding: 0px;\">LLMs:</span></span><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: normal;\"><span style=\"margin: 0px;padding: 0px;\">Open AI, Anthropic Claude</span></span></li><li style=\"margin-left: 24px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: bold;\"><span style=\"margin: 0px;padding: 0px;\">Core Languages:</span></span><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: normal;\"><span style=\"margin: 0px;padding: 0px;\">Python, SQL</span></span></li><li style=\"margin-left: 24px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: bold;\"><span style=\"margin: 0px;padding: 0px;\">Libraries &amp; Frameworks:</span></span><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: normal;\"><span style=\"margin: 0px;padding: 0px;\">Scikit-learn,</span><span style=\"margin: 0px;padding: 0px;border-bottom: 1px solid transparent;\">XGBoost</span><span style=\"margin: 0px;padding: 0px;\">,</span><span style=\"margin: 0px;padding: 0px;border-bottom: 1px solid transparent;\">LightGBM</span><span style=\"margin: 0px;padding: 0px;\">, Pandas, NumPy, NLP libraries</span></span></li><li style=\"margin-left: 24px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: bold;\"><span style=\"margin: 0px;padding: 0px;\">Visualization:</span></span><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: normal;\"><span style=\"margin: 0px;padding: 0px;\">Power BI, Plotly, Matplotlib, Seaborn</span></span></li></ul><p style=\"margin: 0px 0px 16px;padding: 0px;font-weight: normal;font-style: normal;vertical-align: baseline;background-color: rgb(255, 255, 255);color: windowtext;text-align: left;text-indent: 0px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: bold;\"><span style=\"margin: 0px;padding: 0px;\">Data Analysis &amp; Insights:</span></span></p><ul style=\"list-style-type: disc;\"><li style=\"margin-left: 24px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: normal;\"><span style=\"margin: 0px;padding: 0px;\">Conduct exploratory data analysis (EDA) on EHR, scheduling, billing, and procedural data to uncover trends, biases, and quality issues</span></span></li><li style=\"margin-left: 24px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: normal;\"><span style=\"margin: 0px;padding: 0px;\">Translate clinical guidelines and workflows into computable, data-driven logic</span></span></li><li style=\"margin-left: 24px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: normal;\"><span style=\"margin: 0px;padding: 0px;\">Generate actionable insights that drive clinical and operational decision-making</span></span></li></ul><p style=\"margin: 0px 0px 16px;padding: 0px;font-weight: normal;font-style: normal;vertical-align: baseline;background-color: rgb(255, 255, 255);color: windowtext;text-align: left;text-indent: 0px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: normal;\">&nbsp;</span><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: bold;\"><span style=\"margin: 0px;padding: 0px;\">Data &amp; Feature Pipelines:</span></span></p><ul style=\"list-style-type: disc;\"><li style=\"margin-left: 24px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: normal;\"><span style=\"margin: 0px;padding: 0px;\">Transform raw healthcare data into modeling-ready datasets (structured + unstructured)</span></span></li><li style=\"margin-left: 24px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: normal;\"><span style=\"margin: 0px;padding: 0px;\">Implement data validation, quality checks, and scalable transformation logic</span></span></li><li style=\"margin-left: 24px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: normal;\"><span style=\"margin: 0px;padding: 0px;\">Collaborate with Data Engineering to ensure high-quality, well-governed data pipelines</span></span></li></ul><p style=\"margin: 0px 0px 16px;padding: 0px;font-weight: normal;font-style: normal;vertical-align: baseline;background-color: rgb(255, 255, 255);color: windowtext;text-align: left;text-indent: 0px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: normal;\">&nbsp;</span><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: bold;\"><span style=\"margin: 0px;padding: 0px;\">LLMs, NLP &amp; Unstructured Data (Nice-to-Have but Valuable):</span></span></p><ul style=\"list-style-type: disc;\"><li style=\"margin-left: 24px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: normal;\"><span style=\"margin: 0px;padding: 0px;\">Work with LLMs (Open AI, Anthropic Claude) to research and conceptualize recommendations</span></span></li><li style=\"margin-left: 24px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: normal;\"><span style=\"margin: 0px;padding: 0px;\">Apply basic NLP techniques to extract</span><span style=\"margin: 0px;padding: 0px;border-bottom: 1px solid transparent;\">signal</span><span style=\"margin: 0px;padding: 0px;\">from clinical notes and operational text</span></span></li><li style=\"margin-left: 24px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: normal;\"><span style=\"margin: 0px;padding: 0px;\">Explore entity extraction, rule-based labeling, embedding-based features, etc.</span></span></li></ul><p style=\"margin: 0px 0px 16px;padding: 0px;font-weight: normal;font-style: normal;vertical-align: baseline;background-color: rgb(255, 255, 255);color: windowtext;text-align: left;text-indent: 0px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: normal;\">&nbsp;</span><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: bold;\"><span style=\"margin: 0px;padding: 0px;\">Visualizations &amp; Storytelling:</span></span></p></div><div style='margin: 0px;padding: 0px;color: rgb(0, 0, 0);font-family: \"Segoe UI\", \"Segoe UI Web\", Arial, Verdana, sans-serif;font-size: 12px;font-style: normal;font-weight: 400;text-align: start;text-indent: 0px;text-transform: none;background-color: rgb(255, 255, 255);'><ul style=\"list-style-type: disc;\"><li style=\"margin-left: 24px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: normal;\"><span style=\"margin: 0px;padding: 0px;\">Create dashboards and data visualizations using Power BI or Python to communicate insights</span></span></li><li style=\"margin-left: 24px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: normal;\"><span style=\"margin: 0px;padding: 0px;\">Present findings and recommendations to clinicians, operations leaders, and executives</span></span></li></ul><p style=\"margin: 0px 0px 16px;padding: 0px;font-weight: normal;font-style: normal;vertical-align: baseline;background-color: rgb(255, 255, 255);color: windowtext;text-align: left;text-indent: 0px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: bold;\"><span style=\"margin: 0px;padding: 0px;\">What Success Looks Like:</span></span></p><ul style=\"list-style-type: disc;\"><li style=\"margin-left: 24px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: normal;\"><span style=\"margin: 0px;padding: 0px;\">Production-ready ML models that drive measurable improvements in clinical operations</span></span></li><li style=\"margin-left: 24px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: normal;\"><span style=\"margin: 0px;padding: 0px;\">High-quality datasets, features, and reproducible pipelines</span><span style=\"margin: 0px;padding: 0px;border-bottom: 1px solid transparent;\">powering</span><span style=\"margin: 0px;padding: 0px;\">our AI platform</span></span></li><li style=\"margin-left: 24px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: normal;\"><span style=\"margin: 0px;padding: 0px;\">Actionable insights that influence patient outcomes and reduce operational friction</span></span></li><li style=\"margin-left: 24px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: normal;\"><span style=\"margin: 0px;padding: 0px;\">Ability to independently drive complex data projects end-to-end with minimal supervision</span></span></li></ul><p style=\"margin: 0px;padding: 0px;font-weight: normal;font-style: normal;vertical-align: baseline;background-color: transparent;color: windowtext;text-align: left;text-indent: 0px;\"><br></p><p style=\"margin: 0px;padding: 0px;font-weight: normal;font-style: normal;vertical-align: baseline;background-color: transparent;color: windowtext;text-align: left;text-indent: 0px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 17px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: bold;\"><span style=\"margin: 0px;padding: 0px;\">Our Ideal Candidate will have the following qualifications:</span></span></p><ul style=\"list-style-type: disc;\"><li style=\"margin-left: 24px;\"><span data-contrast=\"auto\" lang=\"EN-US\" class=\"TextRun SCXW17954954 BCX8\" style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: normal;\"><span class=\"NormalTextRun SCXW17954954 BCX8\" style=\"margin: 0px;padding: 0px;\">2 or more years of experience in data science, machine learning, or applied analytics</span></span></li><li style=\"margin-left: 24px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: normal;\"><span style=\"margin: 0px;padding: 0px;\">Strong Python + advanced SQL skills for data manipulation, modeling, and EDA</span></span></li><li style=\"margin-left: 24px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: normal;\"><span style=\"margin: 0px;padding: 0px;\">Experience developing and evaluating ML models in real-world environments</span></span></li><li style=\"margin-left: 24px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: normal;\"><span style=\"margin: 0px;padding: 0px;\">Experience with healthcare datasets (EHR, claims, clinical notes, billing, scheduling) is a strong advantage</span></span></li><li style=\"margin-left: 24px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: normal;\"><span style=\"margin: 0px;padding: 0px;\">Familiarity with HIPAA, PHI handling, and healthcare data governance</span></span></li><li style=\"margin-left: 24px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: normal;\"><span style=\"margin: 0px;padding: 0px;\">Strong understanding of feature engineering, statistical methods, and model validation</span></span></li><li style=\"margin-left: 24px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: normal;\"><span style=\"margin: 0px;padding: 0px;\">Ability to clearly communicate technical concepts to non-technical stakeholders</span></span></li><li style=\"margin-left: 24px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: normal;\"><span style=\"margin: 0px;padding: 0px;\">Exposure to Prompt Engineering and working with LLMs (Open AI, Anthropic Claude) preferred</span></span></li><li style=\"margin-left: 24px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: normal;\"><span style=\"margin: 0px;padding: 0px;\">Experience with Azure Data Factory, Azure Functions, Azure Open AI preferred</span></span></li><li style=\"margin-left: 24px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: normal;\"><span style=\"margin: 0px;padding: 0px;border-bottom: 1px solid transparent;\">Master&rsquo;s degree in Data Science</span><span style=\"margin: 0px;padding: 0px;\">, CS, Statistics, Biomedical Informatics, or related </span><span style=\"margin: 0px;padding: 0px;border-bottom: 1px solid transparent;\">field preferred</span></span></li></ul></div><div style='margin: 0px;padding: 0px;color: rgb(0, 0, 0);font-family: \"Segoe UI\", \"Segoe UI Web\", Arial, Verdana, sans-serif;font-size: 12px;font-style: normal;font-weight: 400;text-align: start;text-indent: 0px;text-transform: none;background-color: rgb(255, 255, 255);'><p style=\"margin: 0px;padding: 0px;font-weight: normal;font-style: normal;vertical-align: baseline;background-color: transparent;color: windowtext;text-align: left;text-indent: 0px;\"><br></p><p style=\"margin: 0px;padding: 0px;font-weight: normal;font-style: normal;vertical-align: baseline;background-color: transparent;color: windowtext;text-align: left;text-indent: 0px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 17px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: bold;\"><span style=\"margin: 0px;padding: 0px;\">Generous salary and benefits package </span><span style=\"margin: 0px;padding: 0px;border-bottom: 1px solid transparent;\">includes</span><span style=\"margin: 0px;padding: 0px;\">:</span></span></p><ul style=\"list-style-type: disc;\"><li style=\"margin-left: 24px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 17px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: normal;\"><span style=\"margin: 0px;padding: 0px;\">Medical, dental, and vision coverage options for you and eligible dependents</span></span></li><li style=\"margin-left: 24px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 17px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: normal;\"><span style=\"margin: 0px;padding: 0px;\">Free basic Life/AD&amp;D, Short-Term, and Long-Term Disability policies for those enrolled in medical, plusadditionalvoluntary coverage options</span></span></li><li style=\"margin-left: 24px;\"><span data-contrast=\"auto\" lang=\"EN-US\" class=\"TextRun SCXW17954954 BCX8\" style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 17px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: normal;\"><span class=\"NormalTextRun SCXW17954954 BCX8\" data-ccp-parastyle=\"No Spacing\" style=\"margin: 0px;padding: 0px;\">401(k) Retirement plan</span></span></li><li style=\"margin-left: 24px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 17px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: normal;\"><span style=\"margin: 0px;padding: 0px;\">Medical and Dependent Care Flexible Spending Accounts</span></span></li><li style=\"margin-left: 24px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 17px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: normal;\"><span style=\"margin: 0px;padding: 0px;\">Generous vacation, sick, and holiday benefits</span></span></li></ul></div><div style='margin: 0px;padding: 0px;color: rgb(0, 0, 0);font-family: \"Segoe UI\", \"Segoe UI Web\", Arial, Verdana, sans-serif;font-size: 12px;font-style: normal;font-weight: 400;text-align: start;text-indent: 0px;text-transform: none;background-color: rgb(255, 255, 255);'><p style=\"margin: 0px 0px 16px;padding: 0px;font-weight: normal;font-style: normal;vertical-align: baseline;background-color: rgb(255, 255, 255);color: windowtext;text-align: left;text-indent: 0px;\"><br></p><p style=\"margin: 0px 0px 16px;padding: 0px;font-weight: normal;font-style: normal;vertical-align: baseline;background-color: rgb(255, 255, 255);color: windowtext;text-align: left;text-indent: 0px;\"><span style=\"margin: 0px;padding: 0px;color: windowtext;font-size:15px;font-style: normal;text-transform: none;line-height: 19.7625px;font-family: Poppins, Poppins_EmbeddedFont, Poppins_MSFontService, sans-serif;font-weight: normal;\"><span style=\"margin: 0px;padding: 0px;border-bottom: 1px solid transparent;\">Lifekind</span><span style=\"margin: 0px;padding: 0px;\"> 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.</span></span></p></div>\n",
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