Data Scientist

2 semanas atrás

Maringá, Brasil Jobgether Tempo inteiro

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