CVS Health-posted 3 months ago
$72,100 - $144,200/Yr
Full-time
Work from home, TX
5,001-10,000 employees
Ambulatory Health Care Services

This is a unique opportunity for someone passionate about innovation in data science, machine learning, and predictive modeling techniques. The team currently uses an industry-leading scalable data platform and techniques in creating solutions to challenging business problems. This role will require frequent interaction with project stakeholders and business partners at all levels of the organization. This is a fast-paced, collaborative, and iterative environment requiring quick learning, agility, and flexibility.

  • 3+ years of experience with data analytics or a combination of education and experience.
  • 3+ years of experience with statistical analysis, predictive modeling, machine learning techniques, Python, Spark, and visualization tools.
  • 2+ years of extensive experience in big data, analytics, programming, statistics, and cybersecurity.
  • 3+ years of experience in information security, proven experience designing data science workflow solutions for production environments.
  • Working knowledge of statistical methods for analyzing data (central tendency, error analysis, analysis of outliers).
  • Deep knowledge and experience in machine learning, security, and network data to model risk-driven models of consumer and workforce behavior.
  • 3+ years of experience discussing business problems and requirements with customers and designing solutions.
  • 3+ years of experience being responsible for the end-to-end creation and deployment of new analytic offerings to support our internal and external clients.
  • 3+ years of experience being involved in all aspects of the project lifecycle from requirements gathering, hypothesis generation, ideation, programming, testing, and implementation of new processes and tools.
  • 3+ years Analyzing log, security, and cybersecurity intelligence data and using quantitative methods to create actionable and timely data products.
  • 3+ years of client interfacing experience (internal or external), demonstrating excellent ability to communicate technical ideas and results to non-technical clients in written and verbal form.
  • Experience with healthcare cybersecurity is strongly preferred.
  • Proven experience in predictive analytic modeling, preferably in large volume, high velocity, categorical data sets such as machine data.
  • Proven experience with statistical modeling for linear and logistic regression, non-parametric statistical tests, and non-gaussian distributions, including model efficacy measures and associated assumptions.
  • Creative problem solver, driven to answer complicated questions in a meaningful manner using scientific techniques.
  • Extensive experience with Spark.
  • Experience with data visualization techniques, principles, and tools, such as Plotly.
  • Affordable medical plan options
  • 401(k) plan (including matching company contributions)
  • Employee stock purchase plan
  • No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching
  • Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.
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