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Tiger Analytics

Data Scientist/ Senior Data Scientist - Assortment Planning

Posted 4 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in Canada
Senior level
Remote
Hiring Remotely in Canada
Senior level
Develop and implement advanced analytics models for assortment optimization and inventory management. Build predictive models and work with large datasets to improve efficiency. Collaborate with teams and communicate insights effectively.
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Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

We are seeking a Senior Data Scientist / Data Scientist with strong experience in Assortment Planning, Retail Analytics, and Inventory Management. The ideal candidate will drive data-driven decision-making across merchandising, supply chain, and planning teams by building predictive models and optimization solutions that improve product assortment, demand forecasting, and inventory efficiency.

Key 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.

Top Skills

Arima
Lstm
Numpy
Pandas
Power BI
Prophet
Python
Scikit-Learn
Scipy
SQL
Tableau
Xgboost

Tiger Analytics London, England Office

65 St Paul’s Churchyard, 3rd Floor Paternoster House, London, United Kingdom, EC4M 8AB

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