HomeData Scientist - SC

Data Scientist - SC

Company:
United Airlines Inc.
Location: Chicago, IL 60601
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Digital Products and Analytics

This Digital Products and Analytics department consists of merchandising, digital marketing/personalization, data insights and optimization, visualization, UX digital products, data analytics, and more.

Job overview and responsibilities

The Data Scientist will collaborate with the Analytics Products team and business SMEs to deliver machine learning solutions and provide consulation on machine learning techniques and technology. Our Analytics Products group is a global team energetic about using data to develop products or data-driven strategic solutions across United Airlines. We partner with subject matter experts across the business to build solutions for a wide variety of commercial and operations use cases. As a team, we focus on projects that drive strong financials, deliver improved customer experiences, and support employee engagement. The data science team within Analytics Products focuses on predictive modeling, particularly with complex data, such as unstructured image and text, signal, and time series data.
  • Prepare data and develop predictive models & present findings
  • Research tools and techniques for data science at United
  • Act as SME in data science and machine learning for other groups
Required
  • BA/BS in quantitative field
  • 1+ year of professional data science or predictive modeling work with bachelors in statistics or master's degree in quantitative field if making career transition
  • Please share GitHub repository and/or be prepared to speak in detail about project work
  • Strong knowledge of Python (R, object-oriented programming is a plus)
  • SQL querying (joins, subqueries, window functions) required
  • Understanding of basic statistical methods (t-tests, ANOVA, power analysis, A/B testing) required
  • Fundamentals of data cleaning and preparation (Pandas, dplyr, etc.) required
  • Strong oral and written communication skills, especially relating to explaining algorithms and modeling techniques
  • Ability to develop and execute project plan from conception to delivery
  • Focus on value-add opportunities for the business using data science techniques
  • Ability to take ownership of work product and initiative to work across organization with SMEs and stakeholders
  • Demonstrated intellectual curiosity with data and comfort with ambiguity
  • Must be legally authorized to work in the United States for any employer without sponsorship
  • Successful completion of interview required to meet job qualification
  • Reliable, punctual attendance is an essential function of the position


Equal Opportunity Employer – Minorities/Women/Veterans/Disabled/LGBT

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