Offer summary

Qualifications:

Bachelor's degree or higher in Data Science, Statistics, Computer Science, or a related field., 4+ years of experience in the retail or CPG space, particularly in pricing models or demand forecasting., Strong programming skills in Python (pandas, OOP) and SQL., Proficiency in time series analysis, optimization, and predictive analytics..

Key responsibilities:

Conduct data exploration and analysis on structured and unstructured datasets to identify trends and insights.

Develop and train machine learning models focused on price elasticity and demand forecasting.

Create visualizations and presentations to communicate complex insights to both technical and non-technical audiences.

Collaborate with engineering teams to deploy scalable, production-ready machine learning solutions.

Job description

Senior Data Scientist AI/ML Modeling in Retail/CPG

Location: Anywhere in NZ
Job Type: Remote
Project: Retail & CPG Innovation
Time Zone: NZST (New Zealand Standard Time): UTC+12
English Level: B2 / C1

Get to Know Us Darwoft

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 realwelcome to Darwoft.

About the Role

Were looking for 5 Senior Data Scientists to join high-impact, international projects in the retail and CPG industry. Youll be working with a stealth-mode, US-based AI company that is transforming how enterprise retailers make strategic decisions through data science and machine learning.

As part of this team, youll design predictive models, work on demand forecasting, and prototype innovative solutions that drive real business impact for global brands.

What You'll Be Doing

Data Exploration & Analysis: Work with structured and unstructured datasets to discover trends and uncover actionable insights.
Model Development: Build and train machine learning models focused on price elasticity, demand forecasting, and business optimization.
Rapid Prototyping: Develop POCs and MVPs to test ideas and deliver measurable outcomes quickly.
Data Storytelling: Create visualizations and presentations that make complex insights clear for technical and non-technical audiences.
Cross-functional Collaboration: Work closely with engineering teams to deploy scalable, production-ready ML solutions.

What You Bring

Education: Bachelors degree or higher in Data Science, Statistics, Computer Science, or a related field.
Experience: 4+ years in the retail or CPG space, especially in pricing models or demand forecasting.
Programming: Strong experience with Python (pandas, OOP) and SQL.
Modeling & Forecasting: Proficiency in time series analysis, optimization, and predictive analytics.
Visualization & Communication: Ability to turn data into compelling narratives.
Big Data Tools: Experience with Spark, PySpark, or Azure Databricks.

Nice to Have

Familiarity with ML tools like PyTorch, TensorFlow, scikit-learn, Jupyter, NumPy
Basic experience with web prototyping tools such as Flask, Plotly, or Streamlit
Understanding of CI/CD pipelines and model deployment
Exposure to cloud security and compliance is a plus