Data Scientist(Neural Network) at Tiger Analytics
Toronto, ON, Canada -
Full Time


Start Date

Immediate

Expiry Date

26 Apr, 25

Salary

0.0

Posted On

26 Jan, 25

Experience

4 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Data Science, Analytical Models, Time Management, Computer Science

Industry

Information Technology/IT

Description

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
We are looking for a Data Scientist, who will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services to add to our team.

REQUIREMENTS

  • 4 years of Data Science experience required.
  • Bachelors Data Science, Computer Science, or a related field.
  • Ability to apply various analytical models to business use cases.
  • Ability to apply various analytical models to business use cases
  • Exceptional communication and collaboration skills to understand business partner needs and deliver solutions.
  • Bias for action, with the ability to deliver outstanding results through task prioritization and time management.
Responsibilities
  • Work on the latest applications of data science to solve business problems.
  • Have working experience on Neural network problems and models
  • Effectively communicate the analytics approach and how it will meet and address objectives to business partners.
  • Lead analytic approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts, and developers.
  • Create repeatable, interpretable, dynamic, and scalable models seamlessly incorporated into analytic data products.
  • Collaborate, coach, and learn with a growing team of experienced Data Scientists.
  • Stay connected with external sources of ideas through conferences and community engagements.
  • Support demands from regulators, investor relations, etc., to develop innovative solutions to meet objectives utilizing cutting-edge techniques and tools.
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