Data Scientist

Worldwide | Nov. 14, 2026

Report as Closed

Company: Artefact LatAm

Country: Worldwide

Salary: $18,000 - $24,000

Type: Remote

Employment: Full-time

Description: Artefact is a leading global consultancy dedicated to accelerating the adoption of data and artificial intelligence to generate a positive impact on people and organizations.

At Artefact LatAm, we are a leading consulting firm focused on accelerating the adoption of data and artificial intelligence to generate positive impact

As Tech Manager, you will lead the technical vision and strategic execution of advanced solutions in Data Engineering, BI and AI, guaranteeing scalable and high-impact architectures. You will be the catalyst for complex digital transformations, managing multidisciplinary teams and acting as the critical bridge between clients' business objectives and technological innovation. Your approach will integrate excellence in delivery, data governance and talent development, consolidating global standards that position the company as a technical benchmark in the market.

• Demonstrable knowledge in advanced analytics, whether through studies or work experience.
• Use of Python, SQL and Git.
• Knowledge of relational databases
• Knowledge of:
  • Data processing (ETL)
  • Machine Learning
  • Feature engineering, dimension reduction
  • Statistics and advanced analytics

We are Artefact, a leading global consultancy in creating value through the use of data and AI technologies. We seek to transform data into commercial impact throughout the entire value chain of organizations, working with clients of various sizes, sectors and countries. We are proud to say that we are enjoying significant growth in the region, and that is why we want you to join our team of highly trained professionals, in order to address complex problems for our clients.

Our culture is characterized by a high degree of collaboration, with a constant learning environment, where we believe that innovation and solutions come from each member of the team. This drives us to action, and generate deliverables of high quality and scalability.

• Collect, clean and organize large volumes of data from various sources, such as databases, flat files, APIs, among others. Applying exploratory analysis techniques to identify patterns and summarize the main characteristics of the data, as well as to understand the client's problem.
• Develop predictive models using advanced machine learning and statistical techniques to predict trends, identify patterns and make accurate forecasts
• Optimize existing algorithms and models to improve accuracy, efficiency and scalability, adjusting parameters and exploring new techniques
• Create clear and meaningful visualizations to communicate findings and results to the client, effectively
• Communicate results effectively, telling a story to facilitate the client's understanding of the findings and decision making
• Design and develop customized analytical tools and support systems for data-driven decision making, using programming language such as Python, R or SQL
• Collaborative work: collaborate with multidisciplinary teams to address complex problems and provide comprehensive solutions to the client, in addition to participating in projects of varying complexity, ensuring the quality of deliverables and compliance with established deadlines.
• Research and stay up to date on data analysis, artificial intelligence and methodologies to improve analytical capabilities, quickly acquiring knowledge about various industries and specific tools

• Budget of 500 USD per year for training, whether courses, memberships, events or others.
• Rapid professional growth: A mentoring plan for training and career advancement, evaluation cycles for increases and promotions every 6 months.
• Up to 11 days of additional vacation time than legal. This to rest and be able to generate a healthy balance between work and personal life.
• Participation in the company's profit bonus, in addition to bonuses for referred workers and for clients.
• Half-day off for birthdays, as well as a small gift.
• Fortnightly lunches paid for with the team in our hubs (Santiago, Bogotá, Lima and Mexico City).
• Time flexibility and work per day. objectives.
• Remote work, with the possibility of becoming hybrid (Office in Santiago de Chile, paid Cowork in Bogotá, Lima and Mexico City).
• Extended Post Natal for men, and difference coverage paid by the health system for women (Chile)

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