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Data Scientist Sr in Cerritos, CA at Anthem, Inc.

Date Posted: 8/3/2018

Job Snapshot

  • Employee Type:
    Full-Time
  • Location:
    Cerritos, CA
  • Job Type:
  • Experience:
    Not Specified
  • Date Posted:
    8/3/2018

Job Description

Your Talent. Our Vision. At Anthem, Inc., it’s a powerful combination, and the foundation upon which we’re creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will drive the future of health care.
 
This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company.

 Data Scientist Sr.
Location: Cerritos CA


Responsible for the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences.
 Primary duties may include are but not limited to:
  • Design machine learning projects to address specific business problems determined by consultation with business partners.
  • Work with data-sets of varying degrees of size and complexity including both structured and unstructured data.
  • Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis.
  •  Implements batch and real-time model scoring to drive actions.
  • Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions.
  • Develop sophisticated visualization of analysis output for business users.
  •  Publish results and address constraints/limitations with business partners.
  • Provides high-level controllership/evaluation of all output produced to ensure established targets are met.
  • Determines the continuous improvement opportunities of current predictive modeling algorithms.
  • Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables.
  •  Lead the design, implementation, and continuous delivery of data pipeline supporting the development and operation of custom analytic products/services across the organization. 
  • Utilizes data wrangling tools and advanced statistical/machine learning techniques to create high-performing predictive models and actionable insights to address business objectives and client needs 
  • Communicates effectively with internal stakeholders on product design, data specification, model implementations, with partners on collaboration ideas and specifics, with clients and account teams on project/test results, opportunities, questions
  • Creates project plans to ensure projects are completed on time and within budget. Provides high quality ongoing customer support, answering questions, resolving issues and building solutions
  •  Demonstrate skills in building scalable prototypes is required; demonstrated capability in building scalable analytical solutions is strongly preferred.
  • Demonstrated familiarity with large datasets, and understanding of data analysis workflows is required; strong preference for information integration across different sources (e.g. structured data, text, and image) is required.
  • Lead analytical projects and pilots for upgrades or enhancements.


-Master’s or Bachelors in related discipline, e.g. statistics, operations research, computer science, mathematics and 5 years of relevant work experience in data analytics or related field and 2 year of experience is required.
-Strong demonstrated understanding of machine learning methods and applied statistical packages as applied to data analysis within open source scripting languages (e.g. R, Python) is required.
-Extensive experience with linear regression, tree based models, Neural Networks, NLP and familiarity with Tensorflow, Keras or Theano
-Proficiency in one or more programming languages such as R, Python, HTML5, etc. is required
-Required experience in business applications of distributed computing (e.g. Map Reduce, HIVE, and HADOOP) is strongly preferred; 
-Strong relational database SQL skills; including optimization techniques, with knowledge of NoSQL concepts 
-Solid experience with UNIX and shell scripting 
-Demonstrated ability in ingesting, cleansing and contextualizing data through advanced data engineering approach is preferred.
-Proven communication and influence skills are required.
 Experience in Healthcare industry is preferred. 

Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers by Fortune magazine and is a 2017 Diversity Inc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran.