Offer summary

Qualifications:

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., Proficiency in Python, SQL, and data analysis techniques including time series and optimization models., Familiarity with machine learning frameworks and big data processing tools is preferred..

Key responsabilities:

Process and analyze structured and unstructured data to identify trends and generate insights.

Design, build, and evaluate predictive models focused on price elasticity and demand forecasting.

Develop rapid prototypes that address business challenges and can be scaled into actionable solutions.

Present complex insights through data visualizations and communicate recommendations to stakeholders.

Job description

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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