What we offerVacanciesData Scientist

Data Scientist

Argentina Brazil Colombia Latin America Mexico Data Science Engineering
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Required skills

Data Analysis & Visualization / strong
Machine Learning Algorithms / strong
Deep Learning / strong
Cloud & Deployment / strong
Data Wrangling & ETL / strong

Streamline your career by joining our team as a Data Scientist! We are looking for a dedicated professional with 3 years of commercial data science experience who is eager to contribute to data-related projects and take on a leadership role in our Data Competency Center.

This role involves guidance and mentorship from more Senior colleagues who will support you in your learning journey and with challenging tasks. Together, you will create and follow a roadmap to ensure your continuous learning and comprehensive development that aligns with your project and role objectives.

Project

We are a team of 160+ professionals. Although we are very different, a few things make us a true team: a genuine passion for our work, friendliness, and inexhaustible optimism, no matter what.

We use Agile and Kanban approaches with technical excellence to do great work and make our Customers happy. Our goal is to offer our clients the best expertise in different domains, bring value to their business, and become the best tech partner.

Requirements

  • At least 3 years of commercial experience in data science
  • Familiarity with and good understanding of machine learning algorithms, such as linear regression, clustering, classification, and recommendation systems
  • Proficient in creating clear, concise, and compelling visualizations using tools like ggplot2, Matplotlib, Plotly, Power BI, Tableau, or Qlik
  • A proper understanding of data analysis principles, including ETL processes, data warehousing, and handling unstructured data
  • Knowledge of deep learning fundamentals, including concepts such as activation functions, backpropagation, convolutional neural networks (CNNs), transformers, transfer learning, and generative models
  • Ability to assist in evaluating and selecting suitable deep learning models for specific tasks, including understanding model performance metrics, recognizing potential biases, and comparing different model architectures
  • Upper-Intermediate level of English

Personal Profile

  • Problem-solving and analytical thinking skills
  • Proactivity, curiosity, and a continuous learning mindset

 

Responsibilities

  • Actively engage with the Project Owner and Team Leads to gain a clear understanding of the technical requirements and expectations
  • Convert complex business challenges into simpler, data-driven queries or hypotheses. This involves working with team members to identify core issues and formulate questions that data analysis can address
  • Gather data from various sources, including databases, spreadsheets, and APIs. Begin tackling data quality issues and format the data for analysis using basic data wrangling and cleaning techniques
  • Explore data, use fundamental statistical methods and data visualization techniques. Identify patterns, trends, and outliers, and use these insights to propose solutions or further analysis
  • Experiment with select machine learning or statistical models under guidance to address specific business challenges. This includes understanding the basics of model selection, training models with support, and evaluating their performance using established metrics
  • Assist in integrating models into production environments under supervision, helping to ensure they can provide real-time insights and decisions. Learn about model deployment, performance monitoring, and maintenance
  • Develop the ability to communicate findings and recommendations to stakeholders in a straightforward and concise manner
  • Actively seek out new knowledge in data science through online courses, webinars, and reading articles. Experiment with the latest tools and techniques under supervision to expand your skill set
  • Offer insights and share learnings about data analysis techniques and tools with the team. Engage in discussions about improving analytical skills, standards, and processes within the team
Meet your team!

WHY US

  • Diversity of Domains & Businesses
  • Variety of technology
  • Health & Legal support
  • Active professional community
  • Continuous education and growing
  • Flexible schedule
  • Remote work
  • Outstanding offices (if you choose it)
  • Sports and community activities

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