At Darwoft, we build digital products with heart. We're 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.

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

Were Looking For a Senior Data Scientist (AI/ML Modeling in Retail/CPG)

Are you a Senior Data Scientist passionate about AI, predictive modeling, and transforming data into real business impact? At Darwoft, we're looking for four 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 Youll Be Doing

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 You Bring

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

Advanced Python (including pandas, OOP) and SQL.
Strong experience in time series analysis, optimization, and predictive modeling.
Ability to build and test models quickly with a focus on performance and scalability.
Skilled in turning complex data into compelling insights.
Experience with big data processing tools like 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.

What Darwoft Offers