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Senior Data Scientist

Quest Analytics· Network Solutions – Network Analytics
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Hybrid (United States)$120k - $180kFull-timePosted 4w ago

About the role

Senior individual contributor role at Quest Analytics focused on leveraging healthcare data to build scalable ML models, improve data quality, and enable product innovation within provider networks.

Responsibilities

  • Design, develop, optimize, and scale machine learning models and advanced analytics solutions to improve provider data quality and generate meaningful network insights
  • 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

Qualifications

  • 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 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

Skills

Required:Machine learningPythonSQLDatabricks / SparkMLOps

Benefits

  • Workplace flexibility – remote, hybrid or in-office
  • Affordable employee medical, dental and vision plans with low employee cost
  • 401k Matching
  • Wellness benefits
  • Competitive salary and success sharing bonus
  • Flexible vacation, plus sick time and holidays
  • An entrepreneurial culture that values contributions
  • Being listened to and rewarded for your impact
  • Great group of people to work with
Last updated Oct 21, 2026. Interested? Apply on the company site.

About Quest Analytics

Provider Network Management Solutions

Quest Analytics® offers unparalleled provider network management solutions and services for healthcare provider networks.

Healthcare TechnologyProvider Network ManagementAnalyticsSolutions
Company profileWebsite

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