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# Data Scientist

- **Company:** Quest Analytics
- **Location:** United, WV, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Big Data, Health Informatics, Network Analysis, Software as a Service, Cluster Analysis, Data Validation, Data Governance, Data Visualization, Distributed Systems, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Regression Analysis, Natural Language Processing, NumPy, Tensorflow, SQL Databases, Systems Integration, Unstructured Data, Feature Engineering, Sql Optimization, Pytorch, Large Language Models, Apache Spark, Model Validation, Generative AI, Pandas, Scikit Learn, Information Technology, Machine Learning Operations, Data Pipelines, Databricks
- **Published:** September 24, 2026
- **Apply:** https://www.juju.com/job/16_23947f4c

## About the Role

* 7+ years of experience in data science, machine learning, or advanced analytics, preferably in a SaaS organization
 * Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related discipline, or equivalent relevant experience
 * Demonstrated experience building and delivering machine learning models into production
 * Advanced Python skills, including tools such as pandas, NumPy, and scikit-learn
 * Strong experience with Databricks, Spark, or comparable distributed computing technologies
 * Advanced SQL skills
 * Experience with ML frameworks such as TensorFlow, PyTorch, or similar technologies
 * Strong understanding of machine learning techniques including classification, regression, clustering, NLP, and anomaly detection
 * Strong applied statistics knowledge, including hypothesis testing, regression analysis, and probability
 * Experience working with large, messy, and complex datasets
 * Understanding of MLOps, including deployment, monitoring, validation, and model lifecycle management
 * Experience using LLMs and AI-assisted tools to improve data science workflows
 * Ability to independently tackle ambiguous problems and determine an effective path forward
 * Ability to explain complex technical findings in a way that creates clear business value
 * Strong collaboration skills and experience working across Product, Engineering, Data, and business stakeholders
 * Experience leading technical initiatives and mentoring others

Experience in one or more of these areas would be especially valuable:

 * Healthcare provider data, provider networks, or healthcare analytics
 * Healthcare, SaaS, or another highly regulated data environment
 * Integrating ML models into production software products
 * Data quality, entity resolution, anomaly detection, or large-scale data validation
 * Generative AI, NLP, LLM applications, or agentic workflows
 * Data visualization and communicating analytical results to clients or executive audiences

## Description

* Apply statistical modeling, predictive analytics, and machine learning techniques (classification, regression, clustering, NLP, anomaly detection) to solve business problems
 * Research open-ended healthcare and provider-data challenges, form hypotheses, and develop action plans and analytical approaches to turn findings into actionable solutions
 * Develop novel algorithms to solve complex or unprecedented problems
 * Evaluate and improve existing models and algorithms to increase accuracy, performance, scalability, and reliability, and measure the resulting business impact
 * Perform large-scale data processing and analysis using Python, SQL, Databricks, Spark, and distributed computing across structured and unstructured datasets
 * Develop and maintain automated systems for anomaly detection, data validation, feature engineering, and continuous model monitoring
 * Design feature engineering strategies and evaluate model performance using appropriate validation techniques
 * Evaluate and integrate third-party data sources, tools, and vendors to strengthen our datasets and analytical capabilities
 * Partner with Engineering to productionize models and build scalable, reliable solutions within our software products
 * Apply LLM tools such as Claude to accelerate analysis, automate workflows, and improve documentation, and explore opportunities in generative AI, NLP, and AI agents
 * Develop and maintain metrics to evaluate model performance, data quality, and business impact
 * Translate complex findings into clear, actionable insights for technical and non-technical stakeholders
 * Present findings and recommendations to Network Analytics leadership and broader company audiences
 * Partner with Product and business teams to identify opportunities for new features, metrics, and data-driven solutions
 * Mentor other data scientists and analysts, and contribute to technical standards, data governance, and MLOps best practices
 * Participate in cross-functional initiatives and support client-facing analytics discussions as needed, * Video Interview with the Hiring Manager
 * Team and/or Panel Interview(s)
 * Role-Specific Assessment, Presentation, or Case Study (if applicable)
 * Professional Reference Checks via Skill Survey
 * Final Interview with Executive Leadership

Video Camera Usage Policy
Quest Analytics is a remote-first organization that values collaboration, communication, and engagement. To support a connected and productive work environment, candidates are expected to participate in all virtual interviews with their cameras enabled.
Video participation helps create a more interactive interview experience, allows for stronger communication and relationship-building, and supports our commitment to maintaining a secure hiring process. Camera usage also serves as an important safeguard against fraudulent applicants, identity misrepresentation, unauthorized participation, and other security risks that have become increasingly common in remote hiring environments.
Candidates who are unable or unwilling to participate on camera during the interview process may not be considered for employment., While many positions at Quest Analytics are remote, employees are expected to reside in and perform work from the location disclosed during the hiring process. Any relocation must be communicated to and approved by Quest Analytics in advance.
This policy helps ensure compliance with employment and tax regulations, protects company and client data, and reduces risks associated with unauthorized work arrangements and employment misrepresentation. AI Tools As part of our hiring process, Quest Analytics may use AI-assisted tools to help screen applications and support interview documentation, including resume-matching software and AI-generated interview summaries. These tools inform but do not replace human judgment; all hiring decisions are made by Quest Analytics team members. If you have questions about our use of AI in hiring, please contact recruiting@questanalytics.com. **Visa sponsorship is not available at this time. Preferred work locations are within one of the following states: Alabama, Arizona, Arkansas, Colorado, Connecticut, Delaware, Florida, Georgia, Idaho, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska,
Nevada, New Hampshire, New Mexico, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, West Virginia, Wisconsin, or Wyoming. Quest Analytics provides equal employment opportunities to all people without regard to race, color, religion, sex, national origin, ancestry, marital status, veteran status, age, disability, sexual orientation or gender identity or expression or any other legally protected category. We are committed to creating and maintaining a workforce environment that is free from any form of discriminations or harassment. Applicants must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence hr@questanalytics.com NOTE: Staffing agencies, headhunters, recruiters, and/or placement
agencies, please do not contact our hiring managers directly. We are not currently working with additional outside agencies at this time. Any job posting displayed on websites other than questanalytics.com or jobs.lever.co/questanalytics/ may be out of date, inaccurate and unavailable RECRUITMENT FRAUD ALERT


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