Senior Data Scientist

Worldwide | Nov. 13, 2026

Country: Worldwide

Salary: $38,400 - $49,200

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.

Training in Industrial Civil Engineering/Mathematics/Computing, Physics, Statistics, related careers, or equivalent experience in advanced data analysis.

Work experience of at least 4 years in data analysis roles, preferably in relevant industries.

Expert in Python, SQL and Git, with demonstrated skills in the development of analytical models and applications.

Extensive knowledge of relational and non-relational databases. relational, as well as experience in data processing (ETL).

Deep knowledge in machine learning, feature engineering, dimension reduction, advanced statistics and optimization.

Advanced English.

At Artefact LatAm, we are a leading consulting firm focused on accelerating the adoption of data and artificial intelligence to generate positive impact. The Senior Data Scientist is a highly experienced professional in data analysis, with deep knowledge of statistical, programming and machine learning techniques. Your primary role is to use these skills to extract meaningful insights and make data-driven strategic decisions within the organization.

In addition to developing advanced analytical models, the Senior Data Scientist plays an important role within the team assigned to the client, contributing with their technical knowledge to be able to make specific decisions that help the development of the project. Their experience helps in conceptualization through implementation, and ensures the delivery of practical and detailed solutions that meet the client's needs.

Data Analysis: Apply advanced exploratory analysis techniques to understand the structure and characteristics of large volumes of data, coming from various sources.

Development of Advanced Predictive Models: use advanced machine learning and statistical techniques to develop robust predictive models that allow predicting trends, identifying patterns and making accurate forecasts.

Optimization of Algorithms and Models: direct the optimization of existing algorithms and models to improve accuracy, efficiency and scalability.

Data Visualization and Communication: create clear and meaningful visualizations to communicate findings and results effectively to the client and other key stakeholders.

Analytical Tool Development: design and develop custom analytical tools and support systems for data-driven decision making, using programming languages such as Python, R or SQL.

Project Management: lead fronts of a project related to the analysis of complex data, from conceptualization to execution. implementation, strategically planning the milestones and deliverables agreed with clients.

Continuous Research and Development: staying updated on the latest trends and advances in data analysis, artificial intelligence and related methodologies. Share knowledge and experiences with the team to foster an environment of continuous learning.

Contribution to Proposals and Business Development: collaborate in the development of internal proposals for potential clients, using their experience and knowledge to identify opportunities and design innovative solutions.

Support the team from a mentor role, passing on knowledge and good practices, providing personalized training according to the individual needs of the members.

Rapid professional growth: A mentoring plan for training and career advancement, evaluation cycles for increases and promotions every 6 months.

Additional vacation days beyond what is legal and half a day off for birthdays. This to rest and be able to generate a healthy balance between work and personal life.

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