Data Scientist Healthcare AI Platform

Job Description: Data Scientist Healthcare AI Platform Role Overview We are looking for a Data Scientist with 12 years of experience to support the development of data-driven and AI-powered features for a healthcare technology platform. The role involves working with healthcare, claims, payments, denial, operational, and clinical-adjacent data to build insights, reports, predictive models, and AI-assisted workflows. The ideal candidate should have strong analytical skills, good Python and SQL knowledge, and an interest in applying AI/ML to real healthcare business problems. Employment DetailsDetailInformationRoleData Scientist Healthcare AI PlatformExperience12 years Working Days 6 days per week Salary Bracket 50,000 70,000 per month Salary Basis Depending on skills, experience, and interview performance Key ResponsibilitiesAnalyze healthcare datasets to identify trends, patterns, risks, and operational improvement opportunities.Work with claims, denial, payment, EOB, ERA, eligibility, and revenue cycle data.Build dashboards, reports, and data summaries for business and product teams.Assist in developing predictive models for denial risk, recovery probability, payment delays, underpayments, and workflow prioritization.Clean, validate, and prepare structured and semi-structured healthcare data for analysis.Support AI/ML model development, testing, evaluation, and documentation.Work with engineers to help convert data science outputs into production-ready features.Perform exploratory data analysis and communicate findings clearly.Create reusable SQL queries, Python notebooks, and analysis scripts.Monitor model outputs and help identify data quality or performance issues.Collaborate with product, engineering, operations, and healthcare domain teams.Required Skills and Experience12 years of experience in data science, analytics, machine learning, or a related role.Strong knowledge of Python for data analysis.Good SQL skills for querying and analyzing relational data.Experience with libraries such as Pandas, NumPy, scikit-learn, Matplotlib, Seaborn, or similar.Basic understanding of machine learning concepts such as classification, regression, clustering, model evaluation, and feature engineering.Ability to clean, transform, and validate large datasets.Strong analytical and problem-solving skills.Ability to explain technical findings in simple business language.Basic understanding of APIs, data pipelines, and production data workflows.Interest in healthcare AI, healthcare analytics, or revenue cycle management.Preferred SkillsExposure to healthcare data such as claims, denials, EOBs, ERAs, ICD, CPT, CARC/RARC, or payer data.Experience with healthcare revenue cycle management or insurance workflows.Familiarity with LLMs, prompt engineering, embeddings, or AI-assisted analytics.Exposure to cloud platforms such as AWS, Azure, GCP, or Supabase.Experience with dashboards or BI tools such as Power BI, Tableau, Metabase, or Looker.Basic understanding of data privacy, healthcare compliance, and secure data handling.Experience with Git, Jupyter notebooks, and collaborative engineering workflows.QualificationsBachelors degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Artificial Intelligence, or a related field.Equivalent practical experience will also be considered.Success CriteriaThe Data Scientist will be successful if they can: Turn healthcare data into clear, useful insights.Build accurate and explainable analysis for business and product decisions.Support predictive AI features with clean data and reliable evaluation.Work effectively with engineering teams to move analysis toward production.Communicate findings clearly to both technical and non-technical stakeholders.Suggested TitleData Scientist Healthcare AI Platform Alternative titles: Junior Data Scientist Healthcare AIData Scientist Healthcare AnalyticsData Scientist RCM AI PlatformAssociate Data Scientist Healthcare Technology .