Data Scientist/ Senior Data Scientist at Tiger Analytics applying data science in Retail Analytics and Inventory Management to drive business value.
Responsibilities
Develop and implement advanced analytics models for assortment optimization, SKU rationalization, and space planning.
Build predictive models for demand forecasting, replenishment planning, and inventory optimization.
Design and deploy ML models for inventory forecasting and allocation strategies.
Work with large structured and unstructured datasets from POS, ERP, and supply chain systems.
Collaborate with cross-functional teams including operations, product, and engineering to translate business challenges into analytical solutions.
Communicate insights and recommendations clearly to stakeholders through data storytelling, visualizations, and presentations.
Share your passion for Data Science with the broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards.
Collaborate, coach, and learn with a growing team of experienced Data Scientists.
Stay connected with external sources of ideas through conferences and community engagements
Requirements
6+ years of experience in Data Science within Retail/CPG domain.
Strong hands-on experience in Assortment Planning & Inventory Management analytics.
Strong programming skills in Python & SQL with demonstrated use of scientific computing libraries (NumPy, Pandas, SciPy, scikit-learn, etc.).
Experience in time-series forecasting models (ARIMA, Prophet, LSTM, XGBoost).
Hands‑on in experimentation, diagnostics, and evaluation, comfortable operating with imperfect data and iterative validation; experience supporting merchandising, assortment planning, or supply‑chain decisions in a large enterprise environment
Experience with optimization techniques (Linear Programming, Mixed Integer Programming).
Hands-on experience with BI tools (Tableau/Power BI).
Experience developing models from inception to deployment
Strong communication and stakeholder management skills.
Benefits
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
***Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.***
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.