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

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.