You will collaborate with business partners to identify
opportunities to leverage big data technologies in support
of Supply Chain with a common set of tools and infrastructure to make analytics faster, more insightful,
and more efficient. You will build and architect next generation Big Data Machine Learning framework
developed on a group of core Hadoop technologies. You
will design highly salable and extensible Big Data
platforms, which enables collection, storage, modeling, and analysis of massive data sets from numerous channels.
You will define and maintain data architecture, focusing on
applying technology to enable business solutions. You will
assess and provide recommendations on business
relevance, with appropriate timing and deployment. You
will perform architecture design, data modeling, and
implement CVS Big Data platforms and analytic
applications. You will bring a DevOps mindset to enable
big data and batch/real-time analytical solutions that
leverage emerging technologies. You will develop
prototypes and proof of concepts for the selected
solutions, and implement complex big data projects. You
will apply a creative mindset to a focus on collecting,
parsing, managing, and automating data feedback loops in
support of business innovation.
• 5+ years of professional IT and Business Analytics
experience including the following:
• Hands-on experience with “big data” platforms including
Hadoop (preferably Hortonworks with Isilon commodity
hardware) and Spark as well as experience with traditional
RDBMS (e.g., Teradata, Oracle).
• Proficiency in “big data” technologies including
MapReduce, Spark, Airflow, Kafka, Hbase, Pig, NoSQL
• Proficiency in the following programming languages:
Python, shell scripting, SQL (preferably Teradata and
PL/SQL syntax) and Hive, Pig, Java, or Scala
• Ability to design and build a framework to orchestrate
data pipelines and Machine Learning models
• Familiarity with data modeling, data architecture and
• Proficiency with tools to automate workflow and data
pipelines (eg, Jenkins, Control-M)
• Should be able to aggregate huge amount of data and
information from large numbers of sources to discover patterns and features necessary to build machine learning
• Design and implement end-to-end solutions using
Machine Learning, Optimization, and other advanced
computer science technologies, and own live deployments.
• Expertise in specialized areas such as Optimization, NLP,
Reinforcement Learning, Probabilistic Inference, Machine
Learning, Information Retrieval, Recommendation
• Experience with frameworks for either Machine Learning
or NLP (Scikit-Learn, SpaCy, Pytorch, Spark NLP)
• Exposure to Healthcare Domain knowledge. Masters in
Data Science or Business Analytics
• Experience with cloud computing environment (ideally
Microsoft Azure) and the organizational risks of
transitioning from on-prem to cloud infrastructure.
B.S. Computer Science, Engineering, Statistics,
Astronomy/Physics, Economics, Math or related fields,
At CVS Health, we are joined in a common purpose: helping people on their path to better health. We are working to transform health care through innovations that make quality care more accessible, easier to use, less expensive and patient-focused. Working together and organizing around the individual, we are pioneering a new approach to total health that puts people at the heart.
We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring or promotion based on race, ethnicity, sex/gender, sexual orientation, gender identity or expression, age, disability or protected veteran status or on any other basis or characteristic prohibited by applicable federal, state, or local law. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities.
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