Data Scientist

Company:

Website:

LinkedIn:

Business Type:

Company Type:

Business Model:

Funding Stage:

Industry:

Salary Range:

Job Summary

Key Responsibilities

• Analyze large-scale datasets to identify trends, drivers, anomalies, and business opportunities.
• Design, develop, validate, and deploy statistical models and machine-learning solutions to solve business and clinical problems.
• Prepare, clean, transform, and model data for analysis in collaboration with data engineering teams.
• Build interactive dashboards, visualizations, and automated reports to support decision-making.
• Conduct exploratory data analysis, A/B testing, cohort analyses, and predictive analytics.
• Translate analytical findings into clear, actionable recommendations and present to stakeholders.
• Ensure reproducibility by maintaining notebooks, pipelines, model artifacts, and documentation.
• Implement monitoring for model performance and work with engineers to operationalize models.
• Uphold data governance, privacy, and security standards for sensitive healthcare data.
  

Qualification And Experience

• Bachelor’s or Master’s in Data Science, Statistics, Computer Science, Engineering, or related field.
• 5+ years of experience in data analysis, applied statistics, or data science on large datasets.
• Experience working with healthcare data is preferred.
  

Technical Skills

• Strong SQL and Python; R acceptable.
• Experience with big data frameworks and querying large datasets.
• Familiarity with data engineering tools (Azure Data Factory, ETL concepts) to collaborate effectively.
• Experience building dashboards in Power BI or Tableau.
• Experience with model validation, feature engineering, and ML lifecycle (training, evaluation, deployment).