Data Scientist (Optimization/ML) (Remote - Latam)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Scientist (Optimization/ML) in Latin America.

Join a high-impact retail and CPG AI innovation project as a senior data scientist focused on optimization and pricing strategies. In this fully remote role, you will design, prototype, and implement AI/ML-driven optimization models that improve pricing, demand forecasting, and operational planning. You will collaborate with engineering and product teams to productionize solutions, provide actionable insights through advanced analytics and data visualization, and contribute to strategic decision-making. This role offers autonomy, ownership of complex problems, and the opportunity to apply cutting-edge optimization algorithms in real-world scenarios. You will also communicate insights effectively to both technical and business stakeholders while working in a culture of trust, learning, and collaboration.

Accountabilities

• Process and analyze structured and unstructured retail and CPG data to identify trends and actionable insights.
• Design and implement advanced optimization models for pricing and demand planning using techniques such as linear programming, mixed-integer programming, and custom solvers.
• Apply operations research and optimization strategies to solve real-world business problems.
• Build AI/ML prototypes and proof-of-concepts that integrate optimization insights into operational workflows.
• Collaborate closely with engineering and product teams to productionize models at scale.
• Present insights and recommendations using effective data visualization and storytelling for diverse audiences.

Requirements

• Bachelor’s 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 proficiency in Python (pandas, OOP), SQL, and optimization libraries such as Pyomo, PuLP, or similar.
• Experience developing and refining optimization models for practical business applications.
• Deep understanding of price elasticity, demand forecasting, and analytical modeling.
• Solid experience in prototyping, testing, and iterating models collaboratively with cross-functional teams.
• Ability to communicate optimization strategies and analytical insights to both technical and business audiences.
• Familiarity with scalable cloud environments and distributed systems.
• Nice to have: experience with scikit-learn, TensorFlow, PyTorch, NumPy, Spark, Databricks, UI prototyping tools (Flask, Plotly, Streamlit), and CI/CD or modern DevOps workflows.

Benefits

• 100% remote work across Latin America.
• Contractor agreement with payment in USD.
• Observance of Argentina’s public holidays.
• Access to English classes and learning platforms.
• Referral program and professional development opportunities.
• Opportunity to work on high-impact optimization and AI/ML projects in retail and CPG.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!