Location: Anywhere in LATAM
Job Type: Remote
Project: Retail & CPG AI Innovation
Time Zone: Pacific or Central Time
English Level: B2 / C1

At Darwoft, we build digital products with heart. Were a Latin American tech company focused on creating impactful, human-centered software in partnership with companies around the globe. Our remote-first culture is built on trust, continuous learning, and collaboration.

Were passionate about tech but even more about people. If youre looking to join a team where your ideas matter and your impact is real, welcome to Darwoft.

Were looking for a Senior Data Scientist with deep expertise in Price Elasticity to drive a high-impact innovation project for the retail and CPG industry.

In this role, youll design and validate AI/ML-powered prototypes that bring elasticity-driven insights into smarter pricing, promotions, and demand forecasting strategies.

Your ability to measure and model consumer response to price changes will be the cornerstone for building next-generation tools that maximize revenue opportunities and improve planning decisions.

• Model and measure price elasticity of demand across products, categories, and customer segments.

• Develop and test AI/ML models that incorporate elasticity coefficients into demand forecasting and pricing scenarios.

• Analyze structured and unstructured retail data to uncover trends and quantify customer sensitivity to price changes.

• Apply statistical, econometric, and causal inference techniques to simulate what-if pricing and promotion strategies.

• Build and iterate on prototypes and POCs that integrate elasticity insights into real-world retail/CPG contexts.

• Present findings through clear storytelling and data visualization, influencing both technical and business stakeholders.

• Collaborate with engineering and product teams to bring data-driven solutions into production.

• Bachelors degree or higher in Econometrics, Operations Research, Applied Mathematics, Statistics, Data Science, or related field.

• 5+ years of experience in retail or CPG, with proven expertise in price elasticity modeling and demand forecasting.

• Strong command of Python (pandas, NumPy, OOP) and SQL.

• Demonstrated experience quantifying elasticity coefficients and applying them in business contexts.

• Solid background in regression models, time-series forecasting, and causal inference.

• Experience working with large, complex datasets and iterating prototypes in collaboration with cross-functional teams.

• Ability to communicate complex analytical insights in a way that resonates with both technical and non-technical audiences.

• Familiarity with scalable cloud environments and distributed data systems.

• Knowledge of scikit-learn, TensorFlow, PyTorch.

• Hands-on experience with Spark, Databricks, or similar big data platforms.

• UI prototyping skills (Flask, Plotly, Streamlit) to showcase elasticity models interactively.

• Understanding of CI/CD and modern ML Ops workflows.

• Contractor agreement with payment in USD

• 100% remote work

• Argentinas public holidays

• English classes

• Referral program

• Access to learning platforms

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