Description review
1032 - Data Science (Price Elasticity) · Sr · Remote · LATAM
Darwoft · Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bermuda, Bolivia, Bonaire, Sint Eustatius and Saba, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands · back to the listing
HR standards
66/100
needs work
Title ↔ description
86/100
strong
Reads as
Data Scientist
100% confident
What this role officially is
data scientist — ESCO, the EU occupation classification
Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.
Also known as: data scientists, data engineer, research data scientist, data expert, data research scientist
How others title the same work
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What the listing never says
- 32 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
Disclaimer – Must read: Commitment & Focus
This role requires full-time dedication, with clear priority given to Darwoft projects during the established working hours. It is not compatible with other full-time professional engagements. Any additional professional activities must be disclosed in advance and must not interfere with the responsibilities or working hours of this role.
About Darwoft
Darwoft is a software factory that builds custom software solutions and provides IT staff augmentation services for international clients, mainly in the United States and Latin America. We partner with startups and growing companies to build high-impact digital products.
Our culture is people-first, focused on technical quality, long-term relationships and a collaborative mindset. We combine technical excellence with a close, human approach.
Senior Data Scientist – Pricing & Demand Analytics | Contractor | LATAM
General Information
•
Location: Remote – LATAM
•
Contract Type: Contractor (LATAM)
•
Industry / Project: Retail / CPG – Pricing & Demand Analytics (price elasticities, cross-effects and cannibalization)
•
Time Zone: EST (Eastern Standard Time) or CST (Central Standard Time) working hours
•
English Level: B2/C1
About the Role
We are looking for a Senior Data Scientist to join a Retail/CPG project focused on pricing and demand analytics. In this role, you will build the models that help the business decide how to price, promote and position its products, measuring how price changes affect demand, how products influence each other, and where cannibalization erodes margin.
Your work will have a direct impact on sales and profitability. You will take problems from data exploration to production-ready AI/ML solutions, working closely with engineering and product teams, and translating complex findings into clear recommendations for key stakeholders.
Responsibilities
• Process and analyze structured and unstructured data to uncover trends, patterns and actionable insights that inform business strategy.
• Design, build and evaluate predictive models and machine learning algorithms.
• Develop advanced pricing models that incorporate price elasticity, cross-effects and cannibalization.
• Evaluate the effectiveness of pricing and promotional strategies, such as discounts, bundling and loyalty programs, to drive sales and profitability.
• Develop AI/ML product prototypes that address customer problems and business needs, taking concepts through to actionable solutions.
• Test, validate and refine models to ensure they are ready for production.
• Present complex insights through intuitive data visualizations and make data-driven recommendations to key stakeholders.
• Collaborate with engineering and product teams to ensure the seamless productionization, scalability and reliability of AI models.
Requirements
Must-Have
• Minimum of 2 years of experience in the Retail or CPG industry, with specific experience in pricing models and demand forecasting.
• Hands-on experience modeling price elasticities, cross-effects and cannibalization.
• Strong proficiency in Python, including Pandas and Object-Oriented Programming.
• Strong proficiency in SQL and experience processing transaction data.
• Solid experience in time series analysis.
• Strong prototyping skills, with hands-on experience in QA, testing and refining models for production.
• Understanding of large-scale software system architecture and experience working in cloud environments.
• Ability to interpret complex datasets, design meaningful visualizations and communicate insights through data storytelling.
• Strong ability to explain technical concepts clearly to both technical and non-technical stakeholders.
Nice-to-Have
• Familiarity with ML libraries and environments such as PyTorch, TensorFlow, Scikit-Learn, NumPy and Jupyter Notebooks.
• Hands-on experience with Spark / PySpark for processing large datasets; Databricks experience is a plus.
• Experience building simple user interfaces or dashboard apps using Streamlit, Plotly or Flask.
• Understanding of CI/CD pipelines, testing, deployment and release methodologies (DevOps / MLOps).
What Darwoft Offers
• Contractor agreement with payment in USD
• 100% remote work
• Argentina's public holidays
• English classes
• Referral program
• Access to learning platforms
Explore this and other opportunities at:
Originally posted on Himalayas
This role requires full-time dedication, with clear priority given to Darwoft projects during the established working hours. It is not compatible with other full-time professional engagements. Any additional professional activities must be disclosed in advance and must not interfere with the responsibilities or working hours of this role.
About Darwoft
Darwoft is a software factory that builds custom software solutions and provides IT staff augmentation services for international clients, mainly in the United States and Latin America. We partner with startups and growing companies to build high-impact digital products.
Our culture is people-first, focused on technical quality, long-term relationships and a collaborative mindset. We combine technical excellence with a close, human approach.
Senior Data Scientist – Pricing & Demand Analytics | Contractor | LATAM
General Information
•
Location: Remote – LATAM
•
Contract Type: Contractor (LATAM)
•
Industry / Project: Retail / CPG – Pricing & Demand Analytics (price elasticities, cross-effects and cannibalization)
•
Time Zone: EST (Eastern Standard Time) or CST (Central Standard Time) working hours
•
English Level: B2/C1
About the Role
We are looking for a Senior Data Scientist to join a Retail/CPG project focused on pricing and demand analytics. In this role, you will build the models that help the business decide how to price, promote and position its products, measuring how price changes affect demand, how products influence each other, and where cannibalization erodes margin.
Your work will have a direct impact on sales and profitability. You will take problems from data exploration to production-ready AI/ML solutions, working closely with engineering and product teams, and translating complex findings into clear recommendations for key stakeholders.
Responsibilities
• Process and analyze structured and unstructured data to uncover trends, patterns and actionable insights that inform business strategy.
• Design, build and evaluate predictive models and machine learning algorithms.
• Develop advanced pricing models that incorporate price elasticity, cross-effects and cannibalization.
• Evaluate the effectiveness of pricing and promotional strategies, such as discounts, bundling and loyalty programs, to drive sales and profitability.
• Develop AI/ML product prototypes that address customer problems and business needs, taking concepts through to actionable solutions.
• Test, validate and refine models to ensure they are ready for production.
• Present complex insights through intuitive data visualizations and make data-driven recommendations to key stakeholders.
• Collaborate with engineering and product teams to ensure the seamless productionization, scalability and reliability of AI models.
Requirements
Must-Have
• Minimum of 2 years of experience in the Retail or CPG industry, with specific experience in pricing models and demand forecasting.
• Hands-on experience modeling price elasticities, cross-effects and cannibalization.
• Strong proficiency in Python, including Pandas and Object-Oriented Programming.
• Strong proficiency in SQL and experience processing transaction data.
• Solid experience in time series analysis.
• Strong prototyping skills, with hands-on experience in QA, testing and refining models for production.
• Understanding of large-scale software system architecture and experience working in cloud environments.
• Ability to interpret complex datasets, design meaningful visualizations and communicate insights through data storytelling.
• Strong ability to explain technical concepts clearly to both technical and non-technical stakeholders.
Nice-to-Have
• Familiarity with ML libraries and environments such as PyTorch, TensorFlow, Scikit-Learn, NumPy and Jupyter Notebooks.
• Hands-on experience with Spark / PySpark for processing large datasets; Databricks experience is a plus.
• Experience building simple user interfaces or dashboard apps using Streamlit, Plotly or Flask.
• Understanding of CI/CD pipelines, testing, deployment and release methodologies (DevOps / MLOps).
What Darwoft Offers
• Contractor agreement with payment in USD
• 100% remote work
• Argentina's public holidays
• English classes
• Referral program
• Access to learning platforms
Explore this and other opportunities at:
Originally posted on Himalayas