CVS Health

Senior Machine Learning Engineer

Job description

  • Develops large scale data structures and ML/ML Ops pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs

  • Writes ETL (Extract / Transform / Load) processes, designs database systems and develops tools for real-time and offline analytic processing

  • Collaborates with data science team to transform data and integrate algorithms and models into automated processes

  • Uses knowledge in Hadoop architecture, HDFS commands and experience designing & optimizing queries to build data pipelines

  • Uses strong programming skills in Python, Java or any of the major languages to build robust data pipelines and dynamic systems

  • Builds data marts and data models to support Data Science and other internal customers. Integrates data from a variety of sources, assuring that they adhere to data quality and accessibility standards

  • Analyzes current information technology environments to identify and assess critical capabilities and recommend solutions

  • Experiments with available tools and advice on new tools in order to determine optimal solution given the requirements dictated by the model/use case

Required Qualifications
  • 3+ years of progressively complex related experience

  • Knowledge in Java, Python, Hive, Cassandra, Pig, MySQL or NoSQL or similar

  • Knowledge in Hadoop architecture, HDFS commands and experience designing & optimizing queries against data in the HDFS environment

COVID Requirements

COVID-19 Vaccination Requirement
CVS Health requires certain colleagues to be fully vaccinated against COVID-19 (including any booster shots if required), where allowable under the law, unless they are approved for a reasonable accommodation based on disability, medical condition, religious belief, or other legally recognized reasons that prevents them from being vaccinated.

You are required to have received at least one COVID-19 shot prior to your first day of employment and to provide proof of your vaccination status or apply for a reasonable accommodation within the first 10 days of your employment. Please note that in some states and roles, you may be required to provide proof of full vaccination or an approved reasonable accommodation before you can begin to actively work.

Preferred Qualifications
  • Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources

  • Ability to understand complex systems and solve challenging analytical problems

  • Experience with bash shell scripts, UNIX utilities & UNIX Commands

  • Strong knowledge of large-scale search applications and building high volume data pipelines

Education
Bachelor's degree or equivalent work experience in Computer Science, Engineering, Machine Learning, or related discipline

Master’s degree or PhD preferred

Business Overview
Bring your heart to CVS Health
Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver.

Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable.
We strive to promote and sustain a culture of diversity, inclusion and belonging every day.
CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

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