AI Pricing Strategist
7 godzin temu
We are seeking a talented Machine Learning Architect to join our long-term initiative project on creating a unified platform for managing promotions in real-time for a major Canadian retailer.
This role involves leading the architecture, development, and deployment of optimization and machine learning models to enhance pricing strategies and promotional decision-making, all while collaborating closely with data scientists, engineers, and business stakeholders.
Your key responsibilities will be:
- Pricing Optimization Model Development: Lead the development and deployment of pricing optimization models using frameworks like OR-Tools, Pyomo, or Gurobi.
- Data Pipelines Design: Design and implement data pipelines for insights and optimization.
- Collaboration and Strategy Alignment: Collaborate with data scientists and business stakeholders to align pricing strategies.
- Algorithm Utilization: Utilize advanced algorithms (MIP, LP, CP-SAT) for pricing decisions.
- Experimentation and Analysis: Conduct experiments to enhance price prediction accuracy.
- Scalable ML Architecture: Build scalable ML architectures on cloud platforms (Google Cloud, AWS).
- Mentorship and Leadership: Mentor junior engineers and data scientists. Participate in sprint planning and coordinate projects.
- Model Interpretability: Ensure model interpretability and integration with business processes.
Requirements:
- Advanced Degree: Advanced degree (Ph.D. or Master's) in a relevant field.
- Experience: 5+ years in machine learning/data science, with 3+ years in price optimization.
- Technical Skills: Proficiency in Python and experience with ML libraries (PyTorch, Scikit-learn). Strong knowledge of data processing tools (Apache Spark, Pandas).
- Cloud Platforms: Experience with cloud platforms (Google Cloud).
- Optimization Algorithms: Understanding of optimization algorithms (LP, MIP).
- Pricing Models: Proven experience in building pricing models.
- Leadership and Mentorship: Strong leadership and mentorship skills.
- Generative AI: Expertise in generative AI for pricing solutions.
- Ai Strategies: Experience aligning AI strategies with business goals.
- Large-Scale Initiatives: Background in large-scale pricing initiatives.
- Research Contributions: Contributions to research or presentations at ML conferences.
- Microservices: Skills in microservices and tools like FastAPI or Docker.
What We Offer:
- Bleeding-Edge Projects: Opportunity to work on bleeding-edge projects.
- Motivated Team: Work with a highly motivated and dedicated team.
- Competitive Salary: Competitive salary.
- Flexible Schedule: Flexible schedule.
- Benefits Package: Benefits package - medical insurance, sports.
- Corporate Social Events: Corporate social events.
- Professional Development: Professional development opportunities.
- Well-Equipped Office: Well-equipped office.
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