1032 - Data Science (Price Elasticity) · Sr · Remote · LATAM

Darwoft · Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bermuda, Bolivia, Bonaire, Sint Eustatius and Saba, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), Grenada, Guatemala, Guyana, Haiti, Honduras, Jamaica, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Kitts and Nevis, Saint Lucia, Saint Vincent and the Grenadines, South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela, Virgin Islands, British, Virgin Islands, U.S. · posted today ago

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About this role

Disclaimer – Must read: Commitment & Focus
This role requires full-time dedication, with clear priority given to Darwoft projects during the established working hours. It is not compatible with other full-time professional engagements. Any additional professional activities must be disclosed in advance and must not interfere with the responsibilities or working hours of this role.

About Darwoft

Darwoft is a software factory that builds custom software solutions and provides IT staff augmentation services for international clients, mainly in the United States and Latin America. We partner with startups and growing companies to build high-impact digital products.

Our culture is people-first, focused on technical quality, long-term relationships and a collaborative mindset. We combine technical excellence with a close, human approach.

Senior Data Scientist – Pricing & Demand Analytics | Contractor | LATAM

General Information

Location: Remote – LATAM
Contract Type: Contractor (LATAM)
Industry / Project: Retail / CPG – Pricing & Demand Analytics (price elasticities, cross-effects and cannibalization)
Time Zone: EST (Eastern Standard Time) or CST (Central Standard Time) working hours
English Level: B2/C1

About the Role

We are looking for a Senior Data Scientist to join a Retail/CPG project focused on pricing and demand analytics. In this role, you will build the models that help the business decide how to price, promote and position its products, measuring how price changes affect demand, how products influence each other, and where cannibalization erodes margin.

Your work will have a direct impact on sales and profitability. You will take problems from data exploration to production-ready AI/ML solutions, working closely with engineering and product teams, and translating complex findings into clear recommendations for key stakeholders.

Responsibilities

Process and analyze structured and unstructured data to uncover trends, patterns and actionable insights that inform business strategy.
Design, build and evaluate predictive models and machine learning algorithms.
Develop advanced pricing models that incorporate price elasticity, cross-effects and cannibalization.
Evaluate the effectiveness of pricing and promotional strategies, such as discounts, bundling and loyalty programs, to drive sales and profitability.
Develop AI/ML product prototypes that address customer problems and business needs, taking concepts through to actionable solutions.
Test, validate and refine models to ensure they are ready for production.
Present complex insights through intuitive data visualizations and make data-driven recommendations to key stakeholders.
Collaborate with engineering and product teams to ensure the seamless productionization, scalability and reliability of AI models.

Requirements

Must-Have

Minimum of 2 years of experience in the Retail or CPG industry, with specific experience in pricing models and demand forecasting.
Hands-on experience modeling price elasticities, cross-effects and cannibalization.
Strong proficiency in Python, including Pandas and Object-Oriented Programming.
Strong proficiency in SQL and experience processing transaction data.
Solid experience in time series analysis.
Strong prototyping skills, with hands-on experience in QA, testing and refining models for production.
Understanding of large-scale software system architecture and experience working in cloud environments.
Ability to interpret complex datasets, design meaningful visualizations and communicate insights through data storytelling.
Strong ability to explain technical concepts clearly to both technical and non-technical stakeholders.

Nice-to-Have

Familiarity with ML libraries and environments such as PyTorch, TensorFlow, Scikit-Learn, NumPy and Jupyter Notebooks.
Hands-on experience with Spark / PySpark for processing large datasets; Databricks experience is a plus.
Experience building simple user interfaces or dashboard apps using Streamlit, Plotly or Flask.
Understanding of CI/CD pipelines, testing, deployment and release methodologies (DevOps / MLOps).