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Data Scientist - Military Veterans

at Hearst

Black Book's Data Science team works to solve our customer's most pressing challenges by enabling them to harness the power of data for insightful decisions. The position represents an exciting opportunity to be part of a high growth team, driving innovative, and assist in developing next generation data solutions in automotive industry.

In this hand's-on position, the Data Scientist will work very closely with the automotive analytics team and apply knowledge of Data Science to design and develop enterprise analytic solutions which are focused on specific auto industry questions for Black Book customers. The Data Scientist will define best practices in the use of advanced analytics and therefore must possess the ability to understand and document business processes and influence process improvement. The Data Scientist will also incorporate emerging technologies to evaluate new analytic possibilities. The individual filling this role will be expected to hit the ground running on the delivery of advanced analytic solutions. In this role, you will be expected to design and develop proof-of-concept solutions in support of presales activities as well as support the development of standardized analytic offerings across multiple companies.

Main tasks and responsibilities:

  • Work closely with the automotive analytics team to ensure understanding of automotive data
  • Defines analytic strategies to meet the demands of business requirements
  • Defines the technical requirements of the analytic solutions
  • Defines the data requirements of the analytic solution
  • Conducts sophisticated analyses and build models, as required
  • Translates data science results into clear business focused deliverables for decision makers
  • Leads project plans and works with Application Developers to deploy models into operational systems
  • Integrates advanced analytics into end-to-end business intelligence solutions and operational business processes
Required Qualifications
  • 3+ years of professional experience and a Master of Science or equivalent degree in applied statistics, mathematics, data science or related area of study
  • 3+ years use of Python for machine learning and large-scale data analysis
  • 3+ years of using machine learning methodologies such as regression, decision trees, time series analysis, NLP,
  • Expert use of SQL and relational databases
  • Experience with Hadoop / Spark, Map/Reduce, Hive or equivalent
  • Excellent communication and presentation skills
Preferred Qualification
  • Extensive experience working with IT Development teams to implement analytic application/solution development. Refers to the implementation of repeatable analytic solutions which encompass all phases of the software development cycle beyond model development.
  • Experience in automotive industries

Lawrenceville, GA

Hearst

 

Hearst is one of the nation’s largest global, diversified information, services and media companies. Hearst has been innovating for more than a century, leading with purpose, integrity and a culture of care, with a mission to inform audiences and improve lives. The company’s diverse portfolio includes global financial services leader Fitch Group; Hearst Health, a group of medical information and services businesses; Hearst Transportation, which includes CAMP Systems International, a major provider of software-as-a-service solutions for managing maintenance of jets and helicopters; ownership in cable television networks such as A&E, HISTORY, Lifetime and ESPN; 35 television stations; 24 daily and 52 weekly newspapers; digital services businesses; and more than 200 magazines around the world. Hearst is always moving forward, investing in healthcare solutions to improve patient outcomes and technology that curbs emissions; providing vital analysis, data and software to the global financial services industry; delivering important service and investigative journalism; and inspiring audiences with sports and entertainment programming. With a commitment to maintaining the highest quality in its products and services, Hearst is dedicated to serving the communities it operates in, both civically and philanthropically.  

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