Very

Lead Data Scientist

Very

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇨🇦 Canada

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Salary

💰 CA$164,000 - CA$173,500 per year

Job Level

Senior

Tech Stack

AWSLinuxPythonPyTorchScikit-LearnTensorflowTerraform

About the role

  • Work with stakeholders (clients, sales, engineers & designers) to define Statements of Work (SoW)
  • Communicate how Very can deliver value to the client
  • Estimate quantity of work required to unlock this value for complex, multi-disciplinary projects
  • Identify related assumptions, risks and dependencies
  • Take ownership of the data science components and related systems to ensure project success
  • Architect, build and deploy reliable end-to-end data and ML pipelines into production
  • Ensure the highest level of testing across the full data pipeline and operating envelope
  • Execute and document all algorithm verification testing for certification
  • Build strong relationships with clients and understand their perspective
  • Guide clients through the data science value chain
  • Facilitate complex conversations to achieve alignment to drive positive outcomes
  • Continue to expand and evolve the Data Solutions (DS) practice at Very
  • Provide technical guidance to DS and non-DS team members
  • Pairs with senior team members to develop their skills and deliver on projects
  • Continually learn, share and refine your DS skills and knowledge
  • Establish and enact DataOps and MLOps best practices
  • Take on the responsibility of Technical Lead on complex multi-disciplinary projects
  • Build reliable product roadmaps with technical implementation strategies
  • Monitor and optimize the technical implementation and coordination of the project
  • Identify and mitigate risks and seek assistance when required

Requirements

  • Master’s degree in Data Science related field
  • 5+ years of related experience
  • Deployed statistical, ML or other analytical models to production on AWS
  • Performed real-time signal processing
  • Lead teams with hardware and software engineers
  • Worked directly with clients and partnered with sales and client success teams to secure new work
  • Partnered with client success and senior executives ensure the success of current and future projects
  • Strong written and spoken communication skills in English
  • Expert-level Python development skills related to Data Science including SciPy Stack, Scikit-learn, Tensorflow or PyTorch
  • Automated testing, code coverage, model building & evaluation
  • GitHub CI/CD best practices including GitHub Actions and Terraform or CloudFormation
  • Experience developing, compiling and deploying C, C++ or Embedded C software
  • Proficient developing in Linux including and light administration
Benefits
  • Group RRSP match (Employer contributes 4% of your annual income)
  • Extended healthcare, dental, and vision insurance
  • $150 USD/mo cell/internet stipend
  • $600 USD/yr home office equipment stipend
  • Continuing education stipend ($2,500 USD/yr after one year)
  • Loaned MacBook Pro and other necessary equipment

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data sciencemachine learningstatistical modelsreal-time signal processingPythonSciPy StackScikit-learnTensorFlowPyTorchC++
Soft skills
communicationstakeholder managementteam leadershiprelationship buildingproblem-solvingtechnical guidancecollaborationalignment facilitationcontinuous learningmentorship
Certifications
Master’s degree in Data Science