Senior Data Scientist refactoring pricing-optimization algorithms for Tiger Analytics, an AI and analytics consultancy serving Fortune 100 companies.
Applying statistical modeling and supply-chain optimization across retail and CPG.
Responsibilities
Refactor the Optimization algorithm written in Python using Object-Oriented Programming
Apply data science to solve business problems in the retail and/or CPG supply chain and optimization space
Use advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable Pricing Optimization insights
Develop and implement predictive models and optimization algorithms to improve pricing techniques
Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions
Monitor industry trends and best practices in data science, replenishment optimization, and supply chain management to drive innovation
Collaborate with, coach, and learn from a growing team of experienced Data Scientists
Requirements
10+ years of experience working as a Data Scientist, focused on supply chain optimization and inventory allocation
MS or PhD in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a related field
Experience using mathematical programming solvers such as Gurobi, Xpress MP, CPLEX, or Google OR Tools
Solid understanding of statistical methods, optimization techniques, and predictive modelling concepts
Strong proficiency in Python, PySpark, and SQL
Experience with data analysis and machine learning libraries
Ability to apply analytical models to business use cases
Exceptional communication and collaboration skills to understand business partner needs, deliver solutions, and explain them to business stakeholders
Benefits
Significant career development opportunity
Fast-growing and challenging entrepreneurial environment
High degree of individual responsibility
Equal employment opportunities without regard to protected characteristics
Technical Lead governing AI data readiness and API gateways at Coupa, whose platform helps businesses optimize total spend. Defining safeguards for GenAI applications, data quality, compliance, and observability.
Senior Principal Data Scientist building predictive models and evaluation systems for Autodesk’s agentic AI design platform. Defining telemetry, experimentation, and product intelligence for complex user workflows.
Senior Data Scientist evaluating football ML models for SumerSports’ NFL intelligence platform. Building rigorous testing, comparison, and experimentation tooling for production model quality.
Data Scientist developing fraud detection solutions for Desjardins, North America's largest cooperative financial group. Applying data science expertise to protect financial products and services from fraud.
Data Scientist II applying SQL, Python, machine learning, and AI to Life & Health insurance products at TD Bank. Developing strategies and insights for better decisions.
Senior Data Scientist developing AI, analytics, and automation solutions for Desjardins, North America’s largest cooperative financial group. Building Finance prototypes, models, and AI agents for production.
Lead Analytics Consultant shaping Adobe Analytics and CJA strategies for Bounteous, a global AI services firm. Advising clients, designing implementations, and translating data into executive action.
Senior Data Scientist developing machine learning, GenAI agents, and analytics solutions for Sun Life’s Canadian financial - services business units. Leading technical delivery, stakeholder recommendations, and mentoring.
Senior Data Scientist needed for 12 - month contract, remote - first with 1 day/month onsite in North York, ON. Must have Python, SQL, GCP (Vertex AI & BigQuery), and forecasting experience.