Data Scientist · NZ

Darwoft

Darwoft specializes in assembling top-tier talent to drive innovative projects and solutions, especially within the retail sector. The Data Scientist role is a key position for working on international projects, demanding expertise in predictive modeling and data analysis. This role aims to solve real business challenges by developing practical, scalable solutions.

In this role you can expect to have the responsibilities:

• Process and analyze structured and unstructured data to derive strategic insights.
• Design and build predictive models and machine learning algorithms focused on price elasticity and demand forecasting.
• Develop prototypes that address business challenges and can be scaled into solutions.
• Present insights using data visualizations and provide recommendations to stakeholders.
• Collaborate with engineering teams to ensure models' scalability and reliability in production.

This role comes with the following benefits:

• Opportunity to work on challenging international projects.
• Supportive and dynamic environment for professional growth.
• Focus on developing innovative solutions with a skilled team.

This role requires you to have:

• Bachelor's degree or higher in Data Science, Statistics, Computer Science, or related fields.
• At least 2 years of experience in the retail/CPG industry focusing on pricing models and demand forecasting.
• Advanced programming skills in Python, including pandas and object-oriented programming.
• Proficiency in SQL and data analysis with experience in time series, optimization models, and forecasting.

You would benefit from having:

• Familiarity with ML frameworks such as PyTorch, TensorFlow, scikit-learn, Jupyter Notebooks, and NumPy.
• Experience with big data processing using Spark, PySpark, or Azure Databricks.
• Ability to develop interfaces using Flask, Plotly, or Streamlit.
• Knowledge of CI/CD, testing methodologies, and release management.

Darwoft values innovation and impact, offering growth opportunities and a dynamic work environment. It emphasizes technology and innovation, encouraging professionals who want to make a real difference.