Data Scientist – Advanced Analytics

Worldwide | Nov. 5, 2026

Report as Closed

Company: BC Tecnología

Country: Worldwide

Salary: $24,000 - $28,800

Type: Remote

Employment: Full-time

Description: We are an IT consulting firm with expert staff in different areas of technology.

At BC Tecnología we manage portfolios, develop projects and offer outsourcing services and selection of professionals for clients in sectors such as financial services, insurance, retail and government. You will participate in strategic digital transformation initiatives for LATAM Airlines, a leading organization in the aeronautical industry, in an environment that combines remote work with occasional office presence. You will be part of the Architecture Management, collaborating in the definition of the business architecture and its evolution in the face of technological and business changes, ensuring alignment with the corporate strategy and governance standards.

Experience in time series forecasting applied in productive environments.
Knowledge of intermittent demand and methods such as Croston, TSB or temporal aggregation.
Experience developing probabilistic forecasts, including quantiles and prediction intervals.
Mastery of Backtesting techniques, temporal validation and information leak prevention.
Experience in selection of evaluation metrics and comparison with models baseline.
Solid knowledge of Python for analysis, modeling and development of reproducible solutions.
Management of SQL for extraction, transformation and analysis of large volumes of data.
Ability to interpret and communicate results to technical and business teams.
Analytical thinking, autonomy and orientation towards measurable results.

We are looking for a Data Scientist to join an important technological project in the Retail sector, participating in the development and implementation of predictive models aimed at optimizing commercial decisions, demand forecasts, inventories and pricing strategies.

We are looking for professionals with real experience in statistical models and Machine Learning, analytical thinking and the ability to transform information into impact solutions for the business.

Main functions

Design, develop and validate predictive demand forecasting models (Forecasting).
Analyze time series and implement models capable of working with intermittent demand.
Develop probabilistic forecasts to support inventory replacement decisions.
Identify and correct distortions generated by stock outages and product availability.
Optimize inventory replacement and distribution strategies through models
Participate in price optimization and elasticity analysis initiatives.
Design Backtesting processes and validate models on historical data not used in training.
Evaluate results through statistical metrics and comparisons with reference models (baselines).
Integrate results from predictive models with data platforms and operational systems.
Collaborate with Data Engineering teams and commercial and business areas. logistics.
Document models, results, assumptions and performance metrics.

Working conditions

Modality: Hybrid (Monday to Thursday in person and Friday remote, with flexibility for events).

Desirable knowledge