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LMI

Senior Data Scientist - Clearance Required

The Senior Data Scientist will work closely with Data Engineers, Revenue Cycle SMEs, DHA ... Translate analytical models into intuitive visualizations showing financial exposure, recovery ...

Intuitive

Senior Data Scientist

Peachtree Corners, GA · On-site

Every day, our work helps care teams perform with greater precision and patients recover faster ... This role is expected to represent the data science function with senior stakeholders and ...

Malibu Boats Inc.

Senior Data Engineer

Loudon, TN · On-site

$93K - $127K/yr

The Senior Data Engineer designs, builds, and supports the data pipelines, integrations, and ... Account for the different performance, latency, validation, and recovery requirements of analytical ...

Vast

Senior Data Engineer

Long Beach, CA · On-site

$143K - $203K/yr

Implement monitoring, alerting, observability, and disaster recovery capabilities for mission ... Senior Data Engineer: $143,000.00 - $203,000.00

MBI - Malibu Boats, Inc

Senior Data Engineer

Loudon, TN · On-site

$93K - $127K/yr

The Senior Data Engineer designs, builds, and supports the data pipelines, integrations, and ... Account for the different performance, latency, validation, and recovery requirements of analytical ...

Verantos

Senior Data Engineer

$108K - $147K/yr

They are seeking a Senior Data Engineer to build and manage data pipelines that handle complex ... recover gracefully, and surface issues without requiring manual intervention to run. • Contribute ...

Verantos

Senior Data Engineer

$108K - $147K/yr

... Senior Data Engineer to enhance their data platform. The role involves building and managing ... recover gracefully, and surface issues without requiring manual intervention to run. • Contribute ...

Malibu Boats, LLC

Senior Data Engineer

Loudon, TN

$93K - $127K/yr

The Senior Data Engineer designs, builds, and supports the data pipelines, integrations, and ... Account for the different performance, latency, validation, and recovery requirements of analytical ...

Verantos

Senior Data Engineer

$108K - $147K/yr

They are seeking a Senior Data Engineer to build and maintain data pipelines that handle complex ... recover gracefully, and surface issues without requiring manual intervention to run. • Contribute ...

MBI

Senior Data Engineer

Loudon, NH · On-site

$150 - $200/hr

The Senior Data Engineer will maintain the reliability of business‑critical production ... Account for the different performance, latency, validation, and recovery requirements of analytical ...

Procom Services

208642 / Sr. Data Analyst

New York, NY · On-site

$94K - $118K/yr

... Recovery Security & Privacy Specialties Contract Staffing (Staff Augmentation) Permanent Placement (Staff Augmentation) ICAP (Contractor Payroll) Flextrack (Vendor Management System) A senior data ...

Verantos

Senior Data Engineer

$150K - $220K/yr

We need a Senior Data Engineer who knows how to build pipelines that handle that chaos gracefully ... Design for automation from the start: pipelines that detect problems, recover gracefully, and ...

Verantos

Senior Data Engineer

$150K - $220K/yr

We need a Senior Data Engineer who knows how to build pipelines that handle that chaos gracefully ... Design for automation from the start: pipelines that detect problems, recover gracefully, and ...

Far Coder

$150 - $200/hr

Gemini is hiring a remote candidate for Senior Data Platform Engineer. This is a full time position ... backup/recovery, and query performance - paired with the automation and tooling to run that ...

GP Fund Solutions

Senior Data Engineer

Latham, NY · On-site

$115K - $140K/yr

Senior Data Engineer - GP Fund Solutions Where Data Meets Decision-Making. We turn numbers into ... and recover gracefully from failures. * Participate in design reviews, offering input on ...

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How much do senior data recovery jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for senior data recovery in the United States is $57.14, according to ZipRecruiter salary data. Most workers in this role earn between $47.84 and $65.87 per hour, depending on experience, location, and employer.

What is the difference between Senior Data Recovery vs Data Recovery Technician?

AspectSenior Data RecoveryData Recovery Technician
CertificationsAdvanced certifications like CCA, CDP, or specialized data recovery coursesBasic certifications or on-the-job training
ExperienceMultiple years of experience handling complex data recovery casesEntry to mid-level experience with standard recovery tasks
Work EnvironmentCorporate labs, specialized data recovery centers, or IT departmentsRepair shops, IT support teams, or data recovery service providers
ResponsibilitiesLeading complex recoveries, troubleshooting advanced issues, mentoringPerforming standard recoveries, diagnostics, and basic repairs

In summary, Senior Data Recovery professionals typically have advanced certifications and extensive experience, handling complex cases in specialized environments. Data Recovery Technicians focus on standard recovery tasks with less experience and certifications, working in more general settings.

How to become a senior data recovery expert?

To become a senior data recovery expert, one typically needs a strong background in computer science, information technology, or related fields, along with experience in data recovery techniques and tools. Certifications such as Certified Data Recovery Professional (CDRP) can enhance credibility, and developing skills in hardware repair, forensic analysis, and data storage systems is essential for advancement. Gaining hands-on experience through internships or entry-level roles is also important for progressing to senior positions.
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Senior Data Recovery jobs near you
Infographic showing various Senior Data Recovery job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $118,854 per year, or $57.1 per hour.

Senior Data Scientist - Clearance Required

Remote

LMI
See more jobs at LMIexternal

Full-time

Re-posted 24 days ago

Job description

Overview
The Senior Data Scientist will support the Defense Health Agency (DHA) Revenue Cycle Operating System (RevOS) initiative by designing and implementing advanced analytics, statistical models, predictive capabilities, and decision-support visualizations within a Databricks-based environment.
The role will focus on transforming complex healthcare, financial, coding, claims, payment, and operational data into actionable intelligence that enables DHA to identify revenue leakage, coding and charge-capture errors, denied or stalled claims, underpayments, aged receivables, and opportunities to recover revenue.
The Senior Data Scientist will work closely with Data Engineers, Revenue Cycle SMEs, DHA stakeholders, and product leadership to develop analytics aligned to the end-to-end revenue-cycle workflow:
Scheduling → Eligibility → Registration → Authorization → Patient Care → Documentation → Coding → Charge Capture → Claims → Adjudication → Remittance → Denials → Collections / Recovery
The objective is not simply to produce reports. The role will help create analytical products and Databricks-based dashboards that identify where revenue-cycle processes are failing, quantify financial impact, prioritize corrective action, and measure recovery.
LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.
Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors, helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.
Responsibilities
  • Design and develop advanced analytics within Databricks using Python, SQL, Spark/PySpark, statistical methods, and machine-learning techniques.
  • Develop Databricks visualizations, Databricks SQL dashboards, AI/BI dashboards, and related native visualization capabilities to provide operational and executive visibility into RevOS performance.
  • Create interactive dashboards supporting DHA J-8, DHN, MTF, revenue-cycle, coding, financial, and executive users.
  • Translate analytical models into intuitive visualizations showing financial exposure, recovery opportunity, trends, root causes, outliers, and recommended operational priorities.
  • Develop command-level RevOS SITREP dashboards using Healthy / At Risk / Critical indicators across the Front, Middle, and Back Office revenue cycle.
  • Develop drill-down analytics from enterprise and DHN levels through MTF, department, provider, encounter, claim, and claim-line levels.
  • Design and develop analytical models that identify and quantify potential revenue leakage and recovery opportunities.
  • Analyze encounter, documentation, coding, charge, claim, denial, adjudication, payment, and accounts-receivable data to identify patterns associated with lost or delayed revenue.
  • Develop detection logic for:
  • Missing or incomplete charges
  • Uncoded and delayed encounters
  • Coding inconsistencies and potential coding errors
  • Claims-readiness defects
  • Denied and rejected claims
  • Underpayments and unexplained payment variances
  • Unmatched or unposted remittances
  • Aged claims and receivables
  • Eligibility and authorization failures
  • Develop recoverability and priority-scoring models based on financial value, probability of recovery, aging, filing/appeal deadlines, and operational severity.
  • Develop payer-performance and denial analytics to identify recurring payer behaviors, denial patterns, reimbursement variances, and process failures.
  • Build predictive models that identify revenue-cycle failures before they result in lost revenue or excessive Days-to-Bill.
  • Establish baselines and anomaly-detection methodologies across Front Office, Middle Office, and Back Office processes.
  • Design financial-impact methodologies that estimate potentially recoverable revenue while maintaining separation between analytical estimates and official accounting determinations.
  • Develop and validate standardized RevOS KPIs and analytical measures.
  • Support development of the RevOS Revenue Opportunity Ledger, including estimated recoverable amount, recoverability score, priority score, root cause, and recommended next action.
  • Create dashboard views that allow users to move from aggregate metrics into the underlying Revenue Opportunity Ledger and actionable work queues.
  • Partner with Data Engineers to ensure Silver and Gold structures support analytical, visualization, and dashboard performance requirements.
  • Optimize analytical queries and calculations used by Databricks dashboards to support responsive enterprise-scale visualization.
  • Validate that models, KPIs, and dashboard calculations reconcile to authoritative source records.
  • Develop analytical data products supporting coding audit, payer scoring, denial management, revenue recovery, financial reconciliation, and audit remediation.
  • Document model purpose, features, methodology, validation, performance, refresh cadence, limitations, and version history.
  • Support model monitoring, validation, retraining, and ModelOps practices.

Qualifications
Required Qualifications
  • 8+ years of professional experience in data science, advanced analytics, quantitative analysis, machine learning, or related disciplines.
  • Strong hands-on experience with Databricks.
  • Demonstrated ability to use Databricks native visualization and dashboard capabilities, including Databricks SQL and/or AI/BI dashboards.
  • Experience designing operational, analytical, and executive dashboards based on large enterprise datasets.
  • Advanced proficiency with Python and SQL.
  • Experience with Spark/PySpark or comparable distributed-computing technologies.
  • Demonstrated experience developing predictive models, anomaly detection, classification, prioritization/scoring models, or similar analytical capabilities.
  • Strong understanding of feature engineering, model validation, statistical testing, and analytical quality assurance.
  • Experience working with complex financial, operational, healthcare, claims, payment, or transactional data.
  • Ability to translate business and operational problems into measurable analytical hypotheses and production-ready analytical products.
  • Strong ability to communicate complex analytical findings through visualizations and dashboards to both technical and non-technical users.
  • Experience developing KPIs that reconcile to authoritative data sources.
  • Understanding of modern lakehouse and Bronze / Silver / Gold architectures.
  • Ability to work with Data Engineers and Architects to define data structures required for analytics and visualization.
  • Experience developing auditable and explainable analytical methodologies appropriate for financial or regulated environments.
  • Ability to operate within Agile product-development and iterative delivery environments.
  • Ability to meet applicable DHA/DoD security, privacy, access, and data-handling requirements.

Preferred Qualifications
  • Prior experience with Advana and/or the current War Data Platform (WDP).
  • Experience developing dashboards and analytical products within a DoD Databricks environment.
  • Experience with Databricks Unity Catalog, Delta Lake, Databricks SQL, AI/BI Dashboards, MLflow, Workflows, or related capabilities.
  • Healthcare revenue-cycle experience, including coding, claims, charge capture, denials, AR, remittance, payer reimbursement, and underpayment analysis.
  • Familiarity with healthcare payer transaction data such as 835, 837, 270/271, 276/277, and 278 transactions.
  • Experience with MHS GENESIS, Oracle Health/Cerner Millennium, Abacus, or similar healthcare systems.
  • Experience supporting federal financial management, audit remediation, or revenue-recognition initiatives.
  • Familiarity with certified data products, lineage, data governance, and data-quality controls.
  • Experience developing explainable AI/ML capabilities in regulated or Government environments.

Target salary range: $140,375 - $185,604. Final compensation will be determined by a variety of factors including but not limited to your skills, experience, education, and/or certifications.
Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.
Job Locations
US-Remote

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