Data Scientist (Level 3)



The Opportunity

Goodman Distribution Inc, a member of the Daikin group is seeking a professional, skilled individual for our Data Scientist position for our Marketing group located at the Daikin Texas Technology Park. The Data Scientist role at its core links business strategy to the data. He/she will transform structured or unstructured data into actionable information and predictive models to make a big impact across the organization. This individual will break down the hairiest of problems by applying the full data science toolkit and provide insights to stakeholders across the organization to change minds and hearts. He/she will keep the customer front of mind in all of the work and optimize the customer experience,which will translate to creating long-term business value. As a pioneering Data Scientist at Daikin, he/she will influence the cultural change around how we use, talk about, and ultimately value our data assets, as part of a broader Digital Transformation. If you meet the qualifications listed below, then we invite you to apply for our open position by visiting our website and submitting your resume.

Why work with us?
  • Benefits are effective on day one for all full-time direct hires
  • Training programs are available to help guide team members and develop new skills
  • Growth Opportunities - there is immense opportunities to grow your career
  • You will be part of a Global Company - our family brands are backed by Daikin Industries, Ltd. -an organization that brings opportunity to over 60,000 employees worldwide. Subsidiaries included are Daikin North America , Daikin Comfort , Goodman , Quietflex , Motili and TMI .


May include, in addition to;

  • Gather, process, clean, enrich, and integrate structured and unstructured data to build advanced models to turn data into
    insights; creatively analyze data to understand drivers of historical business performance and build predictive models to
    inform future business strategies
  • Deep understanding of our organization's data structure; look for ways to improve to enhance our ability to perform robust
    data analysis; create new data sets when there is little or no data available, to inform marketing analysis
  • Engage with third-party data providers to strengthen and enrich data models as needed; inform purchase of net new data
  • Deeply understand all sources of data across the enterprise, link to data strategy, and continually evolve ability to measure
    and track key data points to enable data-driven decisions
  • Collect and provide quantitative and qualitative information to measure effectiveness of marketing activities and answer
    strategic business questions
  • Analyze and discern campaign execution, targeting and optimization of marketing investment to deliver sales and operating
    profit across brands
  • Utilize visualization solutions to improve timeliness of data delivery and provide better visibility to decision makers to help
    them monitor, measure, or predict how the company is performing
  • Perform marketing research & analysis to inform customer targeting & segmentation, in addition to longitudinal tracking of
    Customer Lifetime Value across the enterprise
  • Assist with internal assessments of workflow processes to identify inefficiencies, especially those where Marketing is
    involved, and propose more efficient processes and procedures via process automation leveraging tech platforms
  • Assist with maintenance and management of Marketing SQL database and Snowflake cloud data warehouse
  • Provide data science support and ad hoc analysis to enterprise leadership as needed


Knowledge & Skills:
  • Mastery of analytical skills with attention to detail; mastery of statistical analysis, machine learning process, computer science principles, and basic programming principles
  • Strong data storytelling ability - ability to produce actionable information/insights, not just data crunching
  • Very strong communication skills, both verbally and written, capable of communicating with people of many different levels of an organization
  • Experienced with experimentation and testing of Minimum Viable Products to determine if reposed business models /solutions scale up
  • Proficient in MS Office especially Excel; ability to translate data insights into PowerPoint presentations
  • Proficient in relational databases with strong experience in SQL - Microsoft SQL Server, Oracle, Postgres
  • Proficient with A/B testing and data science techniques to build and implement predictive models
  • Proficient with visualization tools such as Tableau, Qlik, or Microsoft Power BI (or similar applications)
  • Proficient with Python, R, Alteryx or other analytics platforms a plus (or similar applications)
  • Eager to make a big impact at a large company - you show up for work and get
    things done
  • Natural ability and desire to work on a team - goes the extra mile when needed; ability to work independently too
  • Ability to grasp complex concepts and systems quickly
  • Ability to manage multiple projects and shift direction quickly
  • Intellectual curiosity and strong passion for using data to solve problems creatively


  • 5+ years of work experience in a Marketing / Consulting / Business Analyst / Data Science role
  • Mastery solving complex business
    problems involving a heavy amount of analytics / data science
  • Marketing-based experience (either D2C or B2B performance marketing)
  • HVAC industry experience preferred, but not required

  • Bachelor's degree (required) in Marketing / Business / Engineering /Statistics / Mathematics / Economics /
    Computer Science; or other related degree with strong quantitative emphasis
  • Master's degree (required) in Data Science / Business Administration /Marketing

Physical Requirements/Work Environment:

  • Must be able to perform essential responsibilities with or without reasonable accommodations

Q ualified Applicants must be legally authorized for employment in the United States. Qualified applicants will not require employer sponsored work authorization now or in the future for employment in the United States.

The Company provides equal employment opportunity to all employees and applicants regardless of a person's race, color, religion (including religious dress or grooming practices), creed, national origin (including language use restrictions), citizenship, uniform service member or veteran status, ancestry, disability, physical or mental disability (including HIV/AIDS), medical condition (including cancer and genetic characteristics), genetic information, request for protected leave, marital status, sex, pregnancy, age (over 40), sexual orientation, gender, gender identity or expression, political affiliation, or any other characteristic protected by law. The Company will comply with all federal and state regulations and statutes pertaining to individuals with disabilities.

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