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Retail Data Scientist

Date: Jan 10, 2022

Location: Chicago - Remote, IL, US

Company: James Hardie

About James Hardie Building Products

James Hardie Industries is the world’s #1 producer and marketer of high-performance fiber cement and fiber gypsum building solutions. We employ a diverse global workforce of approximately 4,800 employees across operations in North America, Europe, Australia, New Zealand, and the Philippines, and generated more than $2.9 billion in net sales during our 2021 financial year.

 

We believe that home is a sanctuary and a canvas for self-expression without compromise. As the trusted innovator and industry leader in the markets where we operate, James Hardie empowers homeowners and building professionals alike to achieve their dream home with premium quality solutions that enable endless possibilities for design and aesthetics, while also delivering trusted protection and long-lasting beauty.

 

Position Description

 

The Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies, and improved Retail consumer experience with James Hardie. This role applies industry-leading analytical methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. Data Scientists are also responsible for ensuring that developed codes are documented into a library of reusable algorithms. Based on the specific data science team, this role would need to be knowledgeable in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
 

As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying trends and providing business solutions. This role is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships, and focus on understanding the overall business area being supported.

 

MAJOR TASKS, RESPONSIBILITIES AND KEY ACCOUNTABILITIES

55% Solution Development

  • Design and develop algorithms and models to use against large datasets to create business insights
  • Participates in large data analytics project teams by serving as a technical lead for analytics projects
  • May lead small projects and work independently on solution development
  • Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies

20% Communicating Results

  • Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners;
  • Present recommendations in a confident manner in order to influence execution of recommendation;
  • Prepare reports, updates and/or presentations related to progress made on a project or solution;
  • Clearly communicate impacts of recommendations to drive alignment and appropriate implementation

10% Business Collaboration

  • Incorporate business knowledge into solution approach
  • Effectively develop trust and collaboration with internal customers and cross-functional teams
  • Work with project teams and business partners to determine project goals

15% Technical Exploration & Development

  • Seek further knowledge on key developments within data science, technical skill sets, and additional data sources
  • Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Build and maintain library of reusable algorithms for future use, ensuring developed codes are documented


 

ENVIRONMENTAL JOB REQUIREMENTS
Travel:
Typically requires overnight travel less than 10% of the time.

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Nearest Major Market: Chicago

Job Segment: Database, Scientific, Retail Sales, Scientist, Retail, Technology, Engineering, Science