Senior Data Scientist Forecasting · LATAM

• Location: Anywhere in LATAM

• Job Type: Remote

• Project: Retail & CPG AI Innovation

• Time Zone: PST (Pacific Standard Time)

• English Level: B2 / C1

Get to Know Us

At Darwoft, we build digital products with heart. Were 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.

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

About the Role

Were looking for a Senior Data Scientist with strong expertise in forecasting and predictive modeling to join a high-impact retail project. Youll help design, build, and test AI/ML-driven prototypes that support advanced demand forecasting and pricing decisions.

Your deep understanding of time series forecasting, statistical modeling, and machine learning techniques will be key in solving real-world challenges for large-scale retail and CPG companies.

What Youll Be Doing

• Process and analyze structured and unstructured retail data to uncover trends and business insights.

• Design and implement advanced demand forecasting models using statistical and ML-based techniques.

• Apply forecasting strategies to real business problems such as inventory planning, pricing, and promotions.

• Build AI/ML prototypes and POCs that solve complex forecasting and planning challenges.

• Present insights through effective data visualization and storytelling.

• Collaborate closely with engineering and product teams to productionize forecasting models at scale.

What You Bring

• Bachelors degree or higher in Statistics, Data Science, Applied Mathematics, Computer Science, or a related field.

• 2+ years of experience in retail or CPG, with a proven track record in forecasting and demand planning.

• Strong command of time series and predictive modeling techniques, both classical and machine learning-based.

• Experience with forecasting libraries and tools in Python (e.g., statsmodels, Prophet, scikit-learn, Darts).

• Deep understanding of demand patterns, seasonality, and price elasticity, and how they impact business decisions.

• Proficiency in Python (pandas, OOP) and SQL.

• Solid experience in prototyping, testing, and iterating on models in collaboration with cross-functional teams.

• Ability to communicate forecasting strategies and data insights to both technical and business audiences.

• Familiarity with scalable cloud environments and distributed systems.

Nice to Have

• Knowledge of deep learning frameworks (TensorFlow, PyTorch) for sequence modeling (e.g., RNNs, LSTMs).
  

• Hands-on experience with big data tools like Spark or Databricks for large-scale forecasting.
  

• UI prototyping using Flask, Plotly, or Streamlit.
  

• Understanding of CI/CD pipelines and modern DevOps workflows.
  
  

What Darwoft Offers

• Contractor agreement with payment in USD

• 100% remote work

• Argentinas public holidays

• English classes

• Referral program

• Access to learning platforms

Explore More Opportunities

Check out all our open roles at www.darwoft.com/careers