Offer summary

Qualifications:

Bachelor's degree or higher in Operations Research, Applied Mathematics, Statistics, Data Science, or related field., At least 5 years of experience in retail or CPG with a focus on optimization for pricing and demand planning., Strong proficiency in Python, including optimization libraries like Pyomo or PuLP., Deep understanding of price elasticity, demand forecasting, and analytical modeling..

Key responsibilities:

Process and analyze retail data to identify trends and insights.

Design and implement advanced price optimization models using various techniques.

Develop AI/ML prototypes to address complex pricing and planning challenges.

Collaborate with engineering and product teams to deploy optimization models at scale.

Job description

Senior Data Scientist Price Elasticity & AI/ML Optimization Prototyping · LATAM

Location: Anywhere in LATAM
Job Type: Remote
Project: Retail & CPG AI Innovation
Time Zone: Pacific or Central Time
English Level: B2 / C1

Get to Know Us

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 real, welcome to Darwoft.

About the Role

Were looking for a Senior Data Scientist with strong expertise in optimization modeling to join a high-impact retail project. You'll help design, build, and test AI/ML-driven prototypes that support advanced pricing decisions and demand forecasting.

Your deep understanding of operations research, optimization algorithms, and price elasticity modeling will be key in solving real-world challenges for large-scale retail and CPG companies.

What Youll Be Doing

Process and analyze structured and unstructured retail data to uncover trends and business insights.
Design and implement advanced price optimization models using techniques like linear programming, mixed-integer programming, and custom solvers.
Apply operations research and optimization strategies to real business problems.
Build AI/ML prototypes and POCs that solve complex pricing and planning challenges.
Present insights through effective data visualization and storytelling.
Collaborate closely with engineering and product teams to productionize optimization models at scale.

What You Bring

Bachelors degree or higher in Operations Research, Applied Mathematics, Statistics, Data Science, or a related field.
5+ years of experience in retail or CPG, with a proven track record in optimization for pricing and demand planning.
Strong command of optimization libraries in Python such as Pyomo, PuLP, or similar.
Experience in developing and refining optimization models for real-world use cases.
Deep understanding of price elasticity, demand forecasting, and analytical modeling.
Proficiency in Python (pandas, OOP) and SQL.
Solid experience in prototyping, testing, and iterating on models in collaboration with cross-functional teams.
Ability to communicate optimization strategies and data insights to both technical and business audiences.
Familiarity with scalable cloud environments and distributed systems.