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Data Scientist

maxicare healthcare corporation
2-4 Years
Philippines
  • Posted 10 hours ago
  • Be among the first 10 applicants

Job Description

Data Scientist – Assistant ManagerKey Responsibilities

  • Lead and own end-to-end data science and machine learning initiatives, from business problem identification and scoping through data preparation, modeling, validation, deployment, and monitoring.
  • Develop predictive and prescriptive analytics solutions to support medical utilization management, including the detection of fraud, waste, abuse, and error (FWAE).
  • Translate complex business and healthcare-related problems into data-driven analytical and machine learning solutions.
  • Conduct exploratory data analysis (EDA) to identify trends, patterns, anomalies, relationships, and opportunities within healthcare and utilization data.
  • Design, develop, test, and optimize machine learning models using appropriate algorithms and statistical techniques.
  • Handle complex and highly imbalanced datasets, particularly rare-event problems such as FWAE and anomaly detection.
  • Evaluate model performance using appropriate statistical and machine learning metrics, including Precision, Recall, F1-Score, ROC-AUC, RMSE, lift, and gain curves.
  • Apply cost-sensitive evaluation and threshold optimization to assess the potential business value and deployment readiness of models.
  • Perform data wrangling, cleansing, transformation, feature engineering, and validation to ensure data quality and model reliability.
  • Develop analytical dashboards, visualizations, and reports to communicate insights and support management decision-making.
  • Present analytical findings, model results, business implications, and recommendations to senior management and executive stakeholders.
  • Translate technical and statistical findings into clear, actionable recommendations for Health Network Management, Utilization Management, and other business stakeholders.
  • Identify opportunities to automate repetitive analytics and data science processes and implement scalable solutions.
  • Collaborate with Data Analysts, Data Engineers, IT teams, healthcare teams, and business stakeholders to ensure successful implementation of analytics solutions.
  • Establish and promote best practices in data science, model development, documentation, validation, and governance.
  • Provide technical guidance and coaching to junior data scientists or analysts and contribute to the continuous improvement of the analytics team.
  • Monitor deployed models and analytical solutions to ensure continued accuracy, relevance, and business effectiveness.
  • Ensure that data science initiatives align with organizational objectives, healthcare business requirements, data privacy, and applicable policies and standards.

Required Experience

  • 2–4 years of professional experience in Data Science, Machine Learning, Advanced Analytics, or a related field, with at least 1 year of hands-on data science experience.
  • Experience developing and implementing end-to-end machine learning models in a professional or production environment.
  • Experience in predictive and/or prescriptive analytics, including problem formulation, feature engineering, model development, evaluation, and interpretation.
  • Experience using Python and SQL for data analysis, data manipulation, and machine learning.
  • Experience with supervised and unsupervised machine learning techniques.
  • Experience developing solutions involving anomaly detection, fraud detection, risk scoring, or similar use cases is an advantage.
  • Experience in healthcare, HMO, insurance, claims, utilization management, fraud analytics, or financial risk analytics is highly preferred.
  • Experience in process automation or developing reusable analytics pipelines is an advantage.
  • Experience mentoring or providing technical guidance to junior analysts or data science professionals is preferred for the Assistant Manager level.
  • Must have at least one end-to-end data science project that was personally owned and implemented for actual business use, beyond academic or coursework projects.

Qualifications

  • Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Physics, Economics, Engineering, or another quantitative discipline.
  • Strong proficiency in Python, particularly Pandas, NumPy, Scikit-learn, Seaborn, and Matplotlib.
  • Strong proficiency in SQL, including JOINs, subqueries, CTEs, aggregations, and window functions.
  • Strong knowledge of data cleaning, data wrangling, feature engineering, and data validation.
  • Proficiency in handling data from different sources and formats, including CSV, JSON, SQL exports, and structured databases.

More Info

Job Type:
Permanent Job
Industry:
Other
Function:
Data Science
Employment Type:
Full time

Job ID: 153701519

Last Updated: 02-09-2026 06:29:32 PM
Homejobs in PhilippinesData Scientist

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