Lead Data Scientist

About the role

The Lead Data Scientist will own the technical roadmap for the ML and GenAI capabilities powering DemandTec's next-generation retail and analytics platform. This includes price optimization, demand forecasting, promotion effectiveness, and markdown recommendations. The role involves setting technical standards for model development, validation, and MLOps, mentoring a distributed team, and translating retail and trade-promotion business problems into Data Science solutions.

Responsibilities

• Own the technical roadmap for ML/AI models powering price optimization, demand forecasting, promotion effectiveness, and markdown recommendations
• Architect and lead development of GenAI-powered agents and copilots (e.g., pricing copilots, demand intelligence agents)
• Partner with engineering and product to set technical standards for model development, validation, and MLOps across the data science organization
• Mentor, coach, and grow a distributed team of data scientists, including direct oversight of the China and Poland-based team
• Partner with product and engineering leadership to translate retail and trade-promotion business problems into Data Science solutions
• Make build-vs-buy calls on LLM/GenAI tooling and vendor platforms together with Engineering
• Present model performance, technical roadmap, and AI strategy to executive leadership and, where relevant, customers and prospects
• Track emerging AI/ML techniques and assess their applicability to retail and CPG use cases
• Develop scalable feature engineering workflows over large retail datasets

Requirements

• 7+ years of experience in data science or applied ML, including 2+ years leading data scientists or a technical team
• Proven track record shipping production ML models at scale
• Experience designing, building, and shipping models for price elasticity, demand forecasting, promotion effectiveness, and similar retail/CPG use cases
• Strong communication skills — able to translate technical work into business impact for executives and customers
• 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

Qualifications

• 7+ years of experience in data science or applied ML, including 2+ years leading data scientists or a technical team
• Proven track record shipping production ML models at scale
• Experience designing, building, and shipping models for price elasticity, demand forecasting, promotion effectiveness, and similar retail/CPG use cases
• Strong communication skills — able to translate technical work into business impact for executives and customers
• 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

Benefits

Competitive compensation package, comprehensive benefits, professional development opportunities, and a dynamic work environment.

Schedule

Full-time position with flexible working hours.

Pay

Competitive salary commensurate with experience.