Neighborly®

Director of Data Science

Neighborly® Irving, TX

Direct message the job poster from Neighborly®

Jennifer Corbin

Jennifer Corbin

Technical Talent Advisor at Neighborly

Director of Data Science


Are you looking for a place where you can bring your experience in being a hands on leader who can innovate and collaborate with internal stakeholders to deliver world-class data solutions?


Welcome to Neighborly—the hub of service brands that connects customers to top-notch local experts who repair, maintain, and enhance homes and businesses. Our long-standing business, with over 40 years of experience, is focused on strategic innovation as we build the future of home and business services. Bring your ambition to the table as we unlock new doors together, taking your career to the next level.


Bring Your Experience And Be Empowered To Innovate.

As a Director of Data Science on the data team, a typical day for you will include:

  • Drive innovative solutions that influence how data insights are delivered to the client throughout Neighborly.
  • Build analytics that will be consumed within applications like websites and call center tools
  • Lead, grow and mentor a multicultural team of 8+ experienced Data Scientists and BI Analysts.
  • Oversee and drive delivery of best-in-class machine learning and other data solutions leading to enterprise-wide adoption internally and externally.
  • Hands-on modeling and building quick-wins based on data manipulation in AWS.
  • Evangelize and educate on best data, AI/ML and coding practices.
  • Find opportunities, implement best practices, and develop solutions for evolving challenges.
  • Identify process enhancements and opportunities to improve our data architecture, analytics/ML tools and practices to enable the team’s efficiency.


Bring Your Skills And Be Inspired To Achieve Success.

Experience:

  • 15+ years of experience working in a Data Science capacity
  • 5+ years of experience managing high performing teams.
  • Experience solving analytical issues through quantitative approaches and machine learning methods as well as vast experience using advanced statistical methods.
  • Strong background in Data Science, Machine Learning, NLP, processing of large data sets. Be able to mentor Data Scientists on best practices and development & productize sophisticated models.
  • Experience implementing large-scale projects.
  • Experience working with executive level business stakeholders.
  • Experience designing and implementing AI solutions and self-service analytics using AWS tools a plus.

Skills:

  • Ability to work collaboratively, building and maintaining trust and excellent working relationships across Neighborly.
  • Ability to work across cultures.
  • Solid ability to see the whole picture and to focus on the important details in a pragmatic and result oriented way.
  • Ability to effectively manage multiple work streams.
  • Schedule / in-office requirements: Neighborly to fill out based on role.


Bring your goals and be enabled to reach them.

  • Competitive Pay: Commensurate with experience
  • Schedule: Full-time, Monday - Friday. Hybrid working model if you are DFW based. Monday-Wednesday in office, Thursday/Friday from home.
  • Benefits: Check out our benefits offerings here
  • Financial Benefits: Equity and bonus opportunities



Neighborly® is fully committed to Equal Employment Opportunity and to attracting, retaining, developing and promoting the most qualified employees without regard to their race, gender, color, religion, sexual orientation, national origin, age, physical or mental disability, citizenship status, veteran status, or any other characteristic prohibited by federal or state law. We are dedicated to providing a work environment free from discrimination and harassment, and where employees are treated with respect and dignity and encouraged to be their authentic self.



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  • Seniority level

    Director
  • Employment type

    Full-time
  • Job function

    Engineering and Information Technology
  • Industries

    Consumer Services

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