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Data Science Lead Analyst

Cigna Medical Group

India₹30,000–₹90,000/moAED 1.3K-4.0K/moToday
IndiaPythonData MiningStatistical AnalysisDeep LearningReinforcement LearningOptimizationMachine LearningArtificial IntelligencePredictive ModelingCommunication SkillsXGBoostLight GBMPySparkFull Time

Skills Required

PythonGitExcelCommunication

Job Description

Job Description As a candidate for the position, your responsibilities will include: - Data acquisition, QC and exploratory analysis on transactional member data - Creating models using ML / AI techniques to predict risk and identify actionable insights - Delivering clean, reusable, and scalable code - Working closely with Data & Engineering teams to deploy models - Partnering with senior team members on the latest analytic techniques, technologies, and methods Required qualifications for this role: Education: - MS/PhD in Computer Science, Math, Statistics, or in any technical field that provides a solid basis for analytics or equivalent work experience Skills: - Strong coding skills in Python - Passion for creating technology to improve healthcare systems - Attitude of creativity and continual learning Experience: - 5-8 years of industry experience with Data Mining, Statistical Analysis, and leading ML / AI methods such as XGBoost, Light GBM, deep learning, reinforcement learning, optimization - 5-8 years of experience with Python, PySpark, and its data science libraries - Excellent oral and written communication skills Desired experience includes: - Prior experience working in the healthcare industry, services ops, or digital domain - Experience with deploying predictive models into production - Experience working with business stakeholders This job opportunity offers a chance to work on cutting-edge technologies in the healthcare industry and collaborate with a dynamic team to drive impactful changes. As a candidate for the position, your responsibilities will include: - Data acquisition, QC and exploratory analysis on transactional member data - Creating models using ML / AI techniques to predict risk and identify actionable insights - Delivering clean, reusable, and scalable code - Working closely with Data & Engineering teams to deploy models - Partnering with senior team members on the latest analytic techniques, technologies, and methods Required qualifications for this role: Education: - MS/PhD in Computer Science, Math, Statistics, or in any technical field that provides a solid basis for analytics or equivalent work experience Skills: - Strong coding skills in Python - Passion for creating technology to improve healthcare systems - Attitude of creativity and continual learning Experience: - 5-8 years of industry experience with Data Mining, Statistical Analysis, and leading ML / AI methods such as XGBoost, Light GBM, deep learning, reinforcement learning, optimization - 5-8 years of experience with Python, PySpark, and its data science libraries - Excellent oral and written communication skills Desired experience includes: - Prior experience working in the healthcare industry, services ops, or digital domain - Experience with deploying predictive models into production - Experience working with business stakeholders This job opportunity offers a chance to work on cutting-edge technologies in the healthcare industry and collaborate with a dynamic team to drive impactful changes.