DemandTec by Acoustic

DemandTec by Acoustic

DemandTec by Acoustic offers a comprehensive cloud-based pricing platform that leverages advanced data science to optimize retail pricing, promotions, and markdown strategies while facilitating effective collaboration between retailers and suppliers.

Internet Software & Services
251-1K
Founded 1999
$6M raised

Description

  • Own the technical roadmap for ML and AI models supporting price optimization, demand forecasting, promotion effectiveness, and markdown recommendations.
  • Architect and lead development of GenAI-powered agents and copilots in partnership with engineering and product teams.
  • Set technical standards for model development, validation, and MLOps across the data science organization.
  • Mentor, coach, and grow a distributed data science team, including team members based in China and Poland.
  • Partner with product and engineering leadership to translate retail and trade-promotion business problems into data science solutions.
  • Make build-versus-buy decisions on LLM and GenAI tooling and vendor platforms.
  • Present model performance, technical roadmap, and AI strategy to executive leadership, customers, and prospects as needed.
  • Track emerging AI and ML techniques and evaluate 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 of shipping production ML models at scale.
  • Experience designing, building, and shipping models for price elasticity, demand forecasting, promotion effectiveness, or similar retail and CPG use cases.
  • Strong communication skills with the ability to translate technical work into business impact for executives and customers.
  • Proficiency in Python, SQL, and machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.
  • Familiarity with GenAI frameworks such as LLMs, Dify, LangChain, or RAG pipelines.
  • Familiarity with cloud data platforms such as AWS, GCP, or Azure and big data technologies such as Spark, Hadoop, or Databricks.
  • Experience with data visualization tools such as Power BI or Tableau and modern MLOps practices.

Interested in this position?

Apply directly on the company website

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