Lead Machine Learning Analytics Engineer

Job Description
Strong collaboration and communication skills within and across teams.Ability to communicate technical ideas and results to non-technical clients in written and verbal form.Proven ability to create innovative solutions to highly complex technical problems. Ability to leverage multiple tools and programming languages to analyze and manipulate large data sets from disparate data sources.Ability to understand and build complex systems and solve challenging analytical problems.Advanced knowledge in Java, Python, Hive, Cassandra, Pig, MySQL or NoSQL or similar.Advanced knowledge in Hadoop architecture, HDFS commands and experience designing & optimizing queries against data in the HDFS environment.Experience building and implementing data transformation and processing solutions. Has in-depth knowledge of large-scale search applications and building high volume data pipelines.Experience with bash shell scripts, UNIX utilities & UNIX Commands.7 or more years of progressively complex related experience. Experience designing and building GUI and non-GUI interfaces for data and capabilities. API development leveraging ReST or microservices and data and event streaming with Spark and Kafka respectively.

Required Qualifications
Ability to leverage multiple tools and programming languages to analyze and manipulate large data sets from disparate data sources.Ability to understand and build complex systems and solve challenging analytical problems.Advanced knowledge in Java, Python, Hive, Cassandra, Pig, MySQL or NoSQL or similar.Advanced knowledge in Hadoop architecture, HDFS commands and experience designing & optimizing queries against data in the HDFS environment.Experience building and implementing data transformation and processing solutions. Has in-depth knowledge of large-scale search applications and building high volume data pipelines.Experience with bash shell scripts, UNIX utilities & UNIX Commands.7 or more years of progressively complex related experience.Experience designing and building GUI and non-GUI interfaces for data and capabilities. API development leveraging ReST or microservices and data and event streaming with Spark and Kafka respectively.

Preferred Qualifications
Masters degree or PhD preferred

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

Business Overview
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.