Create a Job Alert.

Enter your email below to save this search and receive job recommendations for similar positions.
Thank you. We'll send jobs matching these to
You already suscribed to this job alert.
CA
0 suggestions are available, use up and down arrow to navigate them
What job do you want?

Data Scientist job in Toronto at Tiger Analytics

Create Job Alert.

Get similar jobs sent to your email

List of Jobs

Apply to this job.
Think you're the perfect candidate?
Apply Now
Data Scientist at Tiger Analytics

Data Scientist

Tiger Analytics Toronto, Ontario Full Time
Apply Now
Tiger Analytics is looking for experienced Data Scientists to join our fast growing advanced analytics consulting firm. Our employees 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.

As a Data Scientist, you will apply strong expertise in AI through the use of machine learning, datamining, and information retrieval to design, prototype, and build next generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

  • Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools.
  • Effectively communicate the analytics approach and how it will meet and address objectives to business partners.
  • Advocate and educate on the value of data-driven decision making; focus on the “how and why" of solutioning.
  • 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 that are seamlessly incorporated into analytic data products.
  • Engineer features by using your business acumen to find new ways to combine disparate internal and external data sources.
  • Share your passion for Data Science with the broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards.
  • Collaborate, coach, and learn with a growing team of experienced Data Scientists.
  • Stay connected with external sources of ideas through conferences and community engagements
  • Bachelors Degree in Data Science, Computer Science, or related field 3 - 5 years of Data Science and Machine Learning experience required
  • Proficiency in Python or R.
  • Ability to write complex SQL queries 
  • Proficiency with Machine Learning concepts and modeling techniques to solve problems such as clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets.
  • Ability to implement ML best practices for the entire Data Science lifecycle
  • Ability to apply various analytical models to business use cases (NLP, Supervised, Un-Supervised, Neural Nets, etc.)
  • 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
  • Experience with data visualization tools — Tableau, Power BI, etc. preferred.

Recommended Skills

  • Data Science
  • Decision Making
  • Prototype (Manufacturing)
  • Business Acumen
  • Time Management
  • Multitasking
Apply to this job.
Think you're the perfect candidate?
Apply Now

Help us improve by providing feedback about this job:

Job ID: DS_2172

TIP

For your privacy and protection, when applying to a job online, never give your social security number to a prospective employer, provide credit card or bank account information, or perform any sort of monetary transaction. Learn more.

By applying to a job using you are agreeing to comply with and be subject to the Terms and Conditions for use of our website. To use our website, you must agree with the Terms and Conditions and both meet and comply with their provisions.