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Staff Machine Learning EngineerOak St. Health • United States
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Staff Machine Learning Engineer

Oak St. Health
  • US
    United States
  • US
    United States
Postuler Maintenant

À propos

Staff Machine Learning Engineer
We're building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary: Caremark LLC., a CVS Health company, is hiring for the following role in Richardson, TX: Staff Machine Learning Engineer to build, deploy, and monitor artificial intelligence (AI)/machine learning (ML) models to automate processes and transform data into meaningful information. Duties include: apply data modeling, machine learning, predictive modeling, and statistical analysis to extract and analyze information and build end-to-end solutions to meet organizational objectives; research, experiment with, implement, train, and re-train ML algorithms and tools; engage with business stakeholders to translate requirements into technical solutions leveraging ML models and technologies; analyze data and identify differences in data distribution that could impact model performance in real-world use cases using industry leading tools, technologies and best practices; design ML approach, apply appropriate techniques, and develop custom algorithms as needed to address business problems and predict outcomes of interest; apply sampling techniques and investigate adversarial trends, identify behavior patterns, and respond with logic changes; compare models using statistical performance metrics and ensure accuracy of business metrics; visualize, interpret, and report data findings to internal clients and leadership; mentor junior team members; and collaborate with Data Engineers, Data Scientists, and Product Managers to drive towards business objectives and key performance indicators (KPIs). Telecommuting available. Multiple positions. Requirements: Master's degree (or foreign equivalent) in Computer Science, Engineering, Machine Learning, Statistics, Mathematics, Analytics, or a related field and three (3) years of experience in the job offered or related occupation. Requires three (3) years of experience in each of the following: • Programming in Java, Python, or SQL; • Hadoop architecture or HDFS commands; • Oracle, Teradata, or DB2; • Cloud technologies: Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP); • Spark, PySpark, or Scala; • Extract/Transform/Load (ETL) processes; • Scripting languages, database languages, and version control; • Designing and optimizing queries against data in the HDFS environment; • Designing data models and solutions for analytical and reporting use cases; • Data warehousing; • Healthcare data management processes and techniques, including data standards, interoperability, and proper data privacy; and • Supporting large data, analytics, and technology modernization initiatives. Pay Range: $118893.00/year to $288400.00/year. This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program. Great benefits for great people We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility. Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
  • United States

Compétences linguistiques

  • English
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