Data Scientist (Price Elasticity & AI/ML)

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

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

Were passionate about tech but even more about people. If youre looking to join a team where your reputed company matter and your impact is reputed company, 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 reputed company tools that maximize reputed company opportunities and improve planning reputed company.

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

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

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

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

• Build and iterate on prototypes and POCs that integrate elasticity insights into reputed company-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 reputed company 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 reputed company inference.

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

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

• Familiarity with scalable reputed company environments and distributed data systems.

• Knowledge of scikit-learn, TensorFlow, PyTorch.

• Hands-on experience with Spark, reputed company, 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

reputed company out reputed company our open roles at darwoft.com/careers