Expired!

clients Vigil

Data Scientist

Location

Brazil

Job Type

Full-time

Experience

N/A

Salary

N/A

Skill Set

Role

All Other Remote

Job Details

WHAT WILL YOU BE DOING:


You will be joining our engineering team and be a valued member working closely in a collaborative, autonomous team. You will help with:

  • Create, document, test, and run machine learning models
  • Manage file and image repositories
  • Monitor long-running processes
  • Develop new pipeline code
  • Mentor other team members in best practices


WHAT WE ARE LOOKING FOR:

  • Bachelor's degree in data science, data analytics, or a related field
  • Master's degree or PhD in a quantitative field, such as statistics, computer science, mathematics, or engineering
  • Proficiency in Python, with past experience developing MVP's and final products with an emphasis on efficiency and throughput
  • Knowledge of data science toolkits such as NumPy, Pandas, Sklearn, Keras, TensorFlow
  • Experience with data visualization tools such as Tableau
  • Expertise in computer vision or NLP, ie Bert, Detectron2, or similar models
  • Working knowledge of statistical models and business intelligence
  • An independent work ethic, able to work without supervision while staying aligned with our team's vision and deliverables.
  • +2 years of demonstrated experience solving complex problems using recognized data science tools.
  • Excellent language, analytical, and project management skills.
  • Interest in mentoring and improving the skills of more junior team members.


AWESOME BUT NOT REQUIRED:

  • Familiarity with cloud-based infrastructure, specifically Azure


WHAT'S IN IT FOR YOU?

  • Be part of our collegial environment where responsibility and authority are shared equally amongst colleagues and help create our company culture
  • A culture in which we don't criticize failure but ensure we learn from our mistakes
  • An Agile environment where your ideas are welcome
  • The possibility to grow and experience different projects
  • Fully remote work
  • Ongoing Training & Mentoring
  • Learn and experiment with new solutions
  • The possibility to travel (when we are allowed)