Data Scientist

Coventbridge Integrity Systems; Grove City (OH); Hybrid; USD 100,000 - 120,000; Full time

Benefits offered by this job

Medical, Dental, Vision

Life, LTD and STD

401(k) with company match

Paid Time Off and holidays

Tuition assistance after 1 year

Job summary

CoventBridge Integrity Systems is seeking a Data Scientist to develop advanced analytical models and data pipelines to support proactive fraud, waste, and abuse detection in Medicare/Medicaid. The role will lead model design, mentor analysts, and collaborate across teams from Grove City, OH or remote home offices.

The ideal candidate has 5+ years in data analysis with Python/R/SQL, ML, and cloud experience (Databricks/Snowflake/Azure/AWS).

Qualifications

• Bachelor’s degree in quantitative field required; advanced degree preferred.
• 5+ years of data analysis and modeling using SQL, Python, or R.
• 3+ years applying statistical and data mining techniques and ML algorithms.
• 3+ years of healthcare data analysis experience.
• Experience in cloud environments (Databricks, Snowflake, Azure, or AWS).

Responsibilities

• Lead development of analytical, predictive, and statistical models.
• Identify fraud, waste, and abuse patterns in claims.
• Develop reports and visualizations translating data into insights.
• Design and automate data pipelines and reporting solutions.
• Monitor model performance and data quality.
• Collaborate with stakeholders to communicate findings.

Skills

Python

R

SQL

ML techniques

Statistics

Data visualization

Communication

Project management

Education

Bachelor’s degree in quantitative field

Advanced degree preferred

Tools

Databricks

Snowflake

Microsoft Azure

AWS

Job description

Overview

Data Scientist - REMOTE

The Data Scientist develops advanced analytical models, algorithms, and data pipelines to support proactive fraud, waste, and abuse detection across Medicare and Medicaid programs. This role leads the design and implementation of predictive models, simulations, and data‑driven solutions that enhance program integrity efforts. The Data Scientist collaborates across the organization to identify analytic opportunities, interpret complex datasets, and produce actionable insights. In addition to executing high‑level analytical work, the Data Scientist serves as a technical lead, supports multiple projects simultaneously, mentors data analysts, and assists management with specialized tasks and strategic initiatives.

In assuming this position, you will be a critical contributor to meeting CoventBridge Integrity System's objective: To provide services to our clients that exceed their expectations and contribute to improved healthcare delivery by identifying and eliminating fraud, waste and abuse.

The Data Scientist will report directly to the Data Manager and will work in our Grove City, OH office. If not local, remotely from a home office.

Responsibilities/ Requirements

Responsibilities:

• Lead the development of advanced analytical, predictive, and statistical models by defining data requirements, designing algorithms, and validating model performance
• Apply machine learning and modeling techniques to identify potential fraud, waste, and abuse in Medicare and Medicaid claims
• Develop insights, reports, and visualizations that translate complex data into clear, actionable findings
• Design, implement, and automate data pipelines and reporting solutions to support proactive analytics and operational efficiency
• Develop tools and processes to monitor model performance, data quality, and data accuracy
• Support data analysis teams by developing ad hoc techniques, providing technical guidance, and assisting with complex analytic challenges
• Collaborate with internal and external stakeholders to communicate findings and support investigative and operational needs
• Ensure compliance with PIM guidelines and CMS direction related to data analysis and data management
• Prepare and submit required reports within established timeframesMaintain documentation and reporting standards to support transparency, reproducibility, and audit readiness
• Identify opportunities for process improvement and advocate for enhancements to analytic workflows and tools
• Perform other duties as assigned in support of program integrity and organizational goals

Requirements:

• Expert knowledge of healthcare claims data including Medicare, Medicaid, ICD‑10‑CM, provider identifiers, and reimbursement structures
• Knowledge of Medicare and Medicaid claims processing and program integrity principles
• Proficiency in data science programming languages such as Python, R, and SQL, with the ability to write clear, reproducible code
• Knowledge of machine learning techniques including clustering, decision trees, neural networks, and anomaly detection
• Knowledge of advanced statistical and data mining techniques such as regression, distribution analysis, statistical testing, and social network analysis
• Strong critical‑thinking and problem‑solving skills for evaluating complex datasets and identifying meaningful patterns
• Exceptional verbal and written communication skills for presenting technical findings to diverse audiences
• Ability to manage multiple and conflicting priorities across concurrent projects
• Proficiency with Microsoft Word, Excel, and PowerPoint for documentation and presentation

Educational/Experience Qualifications:

• Bachelor’s degree in Mathematics, Statistics, Data Science, Healthcare Administration, Computer Science, Public Health, or a related quantitative field required; preference given to candidates with post‑graduate coursework or an advanced degree.
• At least 5 years of experience performing data analysis and modeling using SQL, Python, or R.
• At least 3 years of experience applying statistical and data mining techniques and developing machine learning algorithms.
• At least 3 years of experience analyzing Medicare, Medicaid, or healthcare claims data.
• Experience working in cloud environments such as Databricks, Snowflake, Microsoft Azure, or Amazon Web Services.

Benefits

• Medical, Dental, Vision plans
• Life, LTD and STD paid by the employer
• 401(k) with company match up to 4%
• Paid Time Off and company paid holidays
• Tuition assistance after 1 year of service

The salary range for this role is $100,000 to $120,000 annually. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee’s pay position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

At this time, CoventBridge is not considering candidates who require visa sponsorship, currently or in the future, including but not limited to H-1B, H-2B, E-3, TN, O-1, F-1 (OPT/CPT, or J-1 Visa Statuses.)

About Us:

CoventBridge Integrity Systems delivers investigative services, technology, and expertise that help healthcare and government organizations protect critical programs, strengthen oversight, and address fraud, waste, abuse, and operational risk.

CoventBridge Integrity Systems is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, caste, disability, veteran status, and other legally protected characteristics and maintains a drug-free workplace.

CoventBridge Integrity Systems is committed to the full inclusion of all qualified individuals. As part of this commitment, CoventBridge Integrity Systems will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact: Human Resources; 888-932-7364; [e-mail].