731 - Data Scientist Ssr/Sr (AI-ML/Modeling in Retail/CPG) · LATAM

Senior Data Scientist AI/ML Modeling in Retail/CPG

_Remote | International Projects | Darwoft

_Are you a Senior Data Scientist passionate about AI, predictive modeling, and transforming data into real business impact? At Darwoft, we're looking for 4 outstanding professionals to join high-impact international projects focused on retail and CPG innovation.

Youll be working with a stealth-mode client a US-based AI product company revolutionizing how enterprise retailers make strategic decisions. Their cutting-edge solutions combine machine learning, data science, and domain expertise to help global brands thrive in a dynamic market.

What You'll Do

• Data Exploration & Analysis: Work with structured and unstructured datasets to identify trends and extract strategic insights.
• Model Development: Design and build predictive models and machine learning algorithms focused on price elasticity, demand forecasting, and optimization.
• Rapid Prototyping: Create quick prototypes (POCs and MVPs) to validate ideas and deliver actionable business solutions.
• Data Storytelling: Translate complex insights into clear visualizations and data-driven recommendations for both technical and non-technical stakeholders.
• Team Collaboration: Partner with engineering and development teams to deploy scalable, production-ready models.

What Were Looking For

• Education: Bachelors or higher degree in Data Science, Statistics, Computer Science, or a related field.
• Industry Experience: 2+ years working in the retail or CPG space, especially with pricing models and demand forecasting.

️ Key Technical Skills

• Programming: Advanced Python (including pandas, OOP) and SQL.
• Modeling & Forecasting: Strong experience in time series analysis, optimization, and predictive modeling.
• Prototyping & QA: Ability to build and test models quickly with a focus on performance and scalability.
• Visualization & Communication: Skilled in turning complex data into compelling insights.
• Big data processing experience with Spark, PySpark, or Azure Databricks.

Nice to Have

• Familiarity with ML libraries and tools: PyTorch, TensorFlow, scikit-learn, Jupyter, NumPy.
• Basic web development for prototyping: Flask, Plotly, or Streamlit.
• Understanding of CI/CD pipelines, testing, and deployment processes.

Join a fast-paced environment where your work will directly impact products used by top-tier retailers. Apply your skills where they matter building AI-driven solutions that shape the future of commerce.