Senior Data Scientist – Pricing & Demand Analytics

About the role

Darwoft is seeking a Senior Data Scientist to join a Retail/CPG project focused on pricing and demand analytics. You will build models that guide pricing, promotion, and product positioning decisions, directly impacting sales and profitability.

Key responsibilities

• Process and analyze structured and unstructured data to uncover trends and actionable insights.
• Design, build, and evaluate predictive models and machine‑learning algorithms, including advanced pricing models that incorporate price elasticity, cross‑effects, and cannibalization.
• Develop AI/ML prototypes, test, validate, and refine models for production readiness.
• Present complex insights through intuitive visualizations and make data‑driven recommendations to stakeholders.
• Collaborate with engineering and product teams to ensure seamless productionization, scalability, and reliability of AI models.

Required profile

• Minimum 2 years of experience in Retail or CPG, specifically with pricing models and demand forecasting.
• Hands‑on experience modeling price elasticities, cross‑effects, and cannibalization.
• Strong proficiency in Python (Pandas, OOP) and SQL, with solid time‑series analysis skills.
• Experience prototyping, QA, testing, and refining models for production in cloud environments.
• Ability to interpret complex datasets, create meaningful visualizations, and communicate insights to both technical and non‑technical audiences.

Required skills

• Python, Pandas, Object‑Oriented Programming
• SQL
• Time series analysis
• ML libraries: PyTorch, TensorFlow, Scikit‑Learn, NumPy, Jupyter Notebooks
• Spark / PySpark, Databricks (optional)
• Streamlit, Plotly, Flask (optional)
• CI/CD pipelines, MLOps concepts (optional)

What we offer

• Contractor agreement with payment in USD
• 100% remote work
• Argentina public holidays
• English classes
• Referral program
• Access to learning platforms