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Senior Data Scientist


Job ID : 35084

Location : Dallas, TX

Company Name : Twelve Labs

Job Type : Full-Time, Part-Time, Contract, Training

Industry : Information Technology

Salary : $107200 - $108700  per year

No. of Positions : I have ongoing need to fill this role


Required Skills : Machine Learning, Big Data Technologies,  Data Visualization..

Benefits : Medical Insurance, Dental Insurance, Vision Insurance, 401K, Life Insurance


Job Description :

Experiences:

  • Proven experience in managing deadlines in a fast-paced agile environment, delivering quality ad-hoc reporting and analysis while meeting strategic project deadlines and expectations.
  • Demonstrated ability to cleanse, manage, interrogate and manipulate large data sets.
  • Experience in leveraging open source tools, predictive analytics, machine learning, and other data techniques to perform analyses for both product development teams and customers.
  • Track record developing and updating dashboards intended to track product performance and related trends.
  • Proven experience in report writing, QA and working with development teams on move-to-production process.
  • Extensive experience leveraging open source tools, predictive analytics, machine learning, and other data techniques to perform complex analyses for project work.

Qualifications:

  • Ability to execute data analysis and modeling directly and with expediency with relevant tools.
  • Critical Thinker; you don’t just follow the common wisdom, but can think critically to determine which tactics, ideas and objectives are right for our data operations to scale.
  • Ability to speak technically with engineers on data structures and data types and work in partnership to develop customer solutions.
  • Effective Communicator who works well with both internal and external customers.
  • A positive attitude; lots of hustle; friendly, and fun to work with.
  • Demonstrate Mastercard Core Competencies – trust, partnership, initiative, and agility.

Key Skills:

  • Advanced Statistical Analysis. 
  • Machine Learning. 
  • Big Data Technologies. 
  • Data Visualization. 
  • Business Acumen and Industry Knowledge. 
  • Project Management and Leadership. 
  • Communication and Presentation Skills.
  • Critical Thinking and Problem-Solving.

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