
Software • SaaS • Artificial Intelligence
Darwoft is an industry-leading custom software development company focused on online system development, mobile app engineering, and UX design and delivery. They help teams improve security, reduce spending, collaborate better, and gain insights from data. Their services include Digital Transformation, Internet of Things (IoT) Development, Machine Learning, and Blockchain Development among others.
51 - 200 employees
Founded 2010
☁️ SaaS
🤖 Artificial Intelligence
November 21

Software • SaaS • Artificial Intelligence
Darwoft is an industry-leading custom software development company focused on online system development, mobile app engineering, and UX design and delivery. They help teams improve security, reduce spending, collaborate better, and gain insights from data. Their services include Digital Transformation, Internet of Things (IoT) Development, Machine Learning, and Blockchain Development among others.
51 - 200 employees
Founded 2010
☁️ SaaS
🤖 Artificial Intelligence
• 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.
• Contractor agreement with payment in USD • 100% remote work • Argentinas public holidays • English classes • Referral program • Access to learning platforms
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