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Data Science Manager, Application Services & Analytics - Johnson&Johnson

Johnson & Johnson


Location:
Providence, Rhode Island
Date:
06/20/2017
2017-06-202017-08-19
Categories:
  • Data Analytics
  • Data Scientist
  • Statistician
  • Business Intelligence
Johnson & Johnson
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Job Details

Requisition ID: 3220170612

Johnson & Johnson is currently recruiting for a Data Science Manager, Application Services Digital & Analytics to be part of a fast-paced, innovative, and highly visible teams building applications for a broad cross section of sectors across the Johnson & Johnson enterprise. The position will be located in Providence, RI.

Johnson & Johnson, through its operating companies, is the world's most comprehensive and broadly based manufacturer of health care products, as well as a provider of related services, for the consumer, pharmaceutical, and medical devices and diagnostics markets. We strive to provide scientifically sound, high quality products and services to help heal, cure disease and improve the quality of life.

Thriving on a diverse company culture, celebrating the uniqueness of our employees and committed to inclusion. Johnson & Johnson is proud to be an equal opportunity employer.

The Data Science Manager will lead the design and development of analytics based applications. The primary responsibility will be to implement best practices around machine learning and predictive modeling in an agile, application development setting. This position will require both hands on development as well as providing technical guidance to a small team of more junior developers.

Requirements

Qualifications

  • Hands-on experience with end-end solution delivery of Data & Analytics applications involving structured and un-structured data on the Hadoop platform or similar (Ingestion, Transformation & Analysis/Visualization) is essential
  • Expert level knowledge of data analysis programming languages like R, Python, SAS, etc. is required
  • Expert level knowledge of machine learning and statistical methodologies like text mining, NLP, clustering, and classification modeling is required
  • Working knowledge of Big Data tools like Sqoop, Pig, Hive, Impala, HBase, Spark, Cloudera Navigator, etc is required
  • Working knowledge of best practices in using data discovery tool(s) like Tableau, Qlik, Spotfire, etc. on Cloudera Hadoop is required
  • Experience designing, building, and extracting large and complex data sets while thinking strategically about uses of data and how it drives behaviors in users is preferred
  • Experience moving advanced analytics applications from a proof of concept to large scale deployment is required
  • Experience documenting best practices and enforcing strong governance in a team is required.
  • Experience mentoring and managing resources through the application development lifecycle.
  • Excellent verbal and written communications.
  • Proven ability to work with project managers and stakeholders to help refine and capture software requirements in an iterative fashion. Accurately forecast engineering effort.
  • Ability to work seamlessly as part of a multi-site, multicultural development team.
  • Desire to work in a fast paced, growing, deadline driven, startup-up environment.
  • Experience with Scrum and an Agile Development environment.
  • Experience with tools like Jira, git, Confluence, etc is preferred.
  • Self-motivated, driven to achieve committed milestones.
  • Extreme attention to detail and commitment to quality.
  • Strong collaboration skills, ability to mentor and be mentored.
  • MS or Ph.D. degree in Computer science, Mathematics, Statistics, or equivalent.
  • 5+ years professional analytics or software development experience.

Ability to function as part of a team is required. Big picture orientation with strong attention to detail is required. Collaboration skills and the ability to build strong win/win relationships with partners are required. A results and performance driven attitude with strong sense of accountability and drive to get results is required.