Data Scientist (Price Elasticity/Forecasting/Retail/GCP) · NZ

Auckland, New Zealand

Darwoft

Darwoft is an industry-leading custom software development company specialized in mobile and web app UX and development.

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Data Scientist (Price Elasticity/Forecasting/Retail/GCP) · New Zealand (Remote)

Remote · International Projects · Darwoft

Are you a Data Scientist with experience in Python, predictive modeling, and a strong focus on the retail/CPG industry? At Darwoft, we bring together top talent to work on innovative projects and develop impactful solutions.

What will you do?

  • Data Exploration & Analysis: Process and analyze structured and unstructured data to identify trends and generate strategic insights.
  • Model Development: Design, build, and evaluate predictive models and machine learning algorithms, especially focused on price elasticity and demand forecasting.
  • Prototyping & Solutions: Develop rapid prototypes (POCs & MVPs) that solve real business challenges and can be scaled into actionable solutions.
  • Visualization & Communication: Present complex insights using clear data visualizations, providing data-driven recommendations to both technical and non-technical stakeholders.
  • Collaboration: Work closely with engineering and development teams to ensure the scalability and reliability of models in production.

What are we looking for?

Required Skills & Experience:

  • Education: Bachelor's degree or higher in Data Science, Statistics, Computer Science, or related fields.
  • Experience: At least 2 years in the retail/CPG industry, working with pricing models and demand forecasting.

Key Technical Skills:

Advanced Programming: Python (pandas, object-oriented programming), SQL.
Data Analysis: Experience with time series, optimization models, and forecasting.
Prototyping & Testing: Ability to create prototypes, conduct QA, and optimize models for production.
Data Visualization & Storytelling: Ability to interpret complex datasets and communicate insights effectively.

Preferred Skills:

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

Why join Darwoft?

At Darwoft, we are a team that shares a passion for innovation and impact. You'll have the opportunity to work on challenging international projects, collaborating with highly skilled colleagues in a supportive and dynamic environment. We prioritize your professional growth and provide opportunities for learning and development.

Apply Now!

Send your CV to talento@darwoft.com

Have questions?
Connect with me: Hernán Vietto

This is an excellent opportunity for those seeking to challenge themselves in a dynamic environment and contribute to projects that make a real difference. If you have a passion for technology and innovation, come join Darwoft!

Apply now and become part of Darwoft!

talento@darwoft.com

Questions?
Follow our recruiter: Hernán Vietto

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Azure Big Data CI/CD Computer Science Data analysis Databricks Data visualization Engineering Flask GCP Jupyter Machine Learning ML models MVP NumPy OOP Pandas Plotly Predictive modeling Prototyping PySpark Python PyTorch Scikit-learn Spark SQL Statistics Streamlit TensorFlow Testing Unstructured data

Perks/benefits: Career development

Region: Asia/Pacific
Country: New Zealand

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