Data Scientist

DemandTec is a leader in AI-powered pricing, promotion, and collaboration solutions tailored for retailers and consumer goods manufacturers. With decades of proven performance, the company empowers brands and retailers to make smarter, data-driven decisions that boost profitability and foster stronger, more aligned partnerships. DemandTec is an independent SaaS company backed by Longshore Capital Partners, scaling rapidly to redefine how retailers and suppliers collaborate across the ecosystem.

• 3+ years of experience in data science or applied ML roles.
• Experience designing, building, and shipping models for price optimization, demand forecasting, promotion optimization, and similar retail/CPG use cases.
• Strong analytical and problem-solving skills; comfortable working with imperfect, real-world retail data.

Technical Skills:

• Proficiency in Python, SQL, and machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
• Familiarity with GenAI frameworks (e.g., LLMs, Dify, LangChain, RAG pipelines).
• Familiarity with cloud-based data platforms (e.g., AWS, GCP, Azure) and big data technologies (e.g., Spark, Hadoop, Databricks).
• Experience with data visualization tools (e.g., Power BI, Tableau) and modern MLOps practices.
• Hands-on experience with modern data tooling (e.g., dbt, Airflow, or similar orchestrators) and columnar/analytical engines.

• Build and validate ML models supporting pricing, promotion, and markdown optimization.
• Contribute to GenAI initiatives by building vertical-domain agents and agent clusters.
• Partner with Data Engineering to build robust, production-grade data pipelines.
• Perform exploratory data analysis and translate retail/CPG data into actionable insights.
• Build dashboards and visualizations to communicate findings to product and business stakeholders.
• Participate in code review, model validation, and documentation practices.
• Develop scalable feature engineering workflows over large retail datasets.