Data Scientist/ Senior Data Scientist -Demand Forecasting job opportunity at Tiger Analytics Inc..

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Date2026-03-03T10:47:44.728Z bot
Tiger Analytics Inc. Data Scientist/ Senior Data Scientist -Demand Forecasting
Experience: General
Pattern: Full-time
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degreeGeneral
Canada

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 / Lead Data Scientist with strong expertise in forecasting, tree-based models, and large-scale data processing. The role requires hands-on experience with PySpark, Databricks, and Azure and the ability to lead end-to-end model development and deployment. Experience with MLOps / DevOps is a strong plus. Key Responsibilities Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools. Apply advanced data science techniques to identify patterns, inefficiencies, and bottlenecks across logistics and operations. Build scalable data pipelines and analytical models using PySpark for large-scale datasets. Develop predictive and prescriptive models to support decision-making in areas such as demand forecasting, routing, and inventory management. 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 6 + years of professional experience in Data Science, Analytics, or related roles. Design, build, and optimize forecasting models (time series, demand forecasting, predictive analytics). Strong programming skills in Python with demonstrated use of scientific computing libraries (NumPy, Pandas, SciPy, scikit-learn, etc.). Experience with PySpark for large-scale data processing and analytics. 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 Develop and tune tree-based models (Random Forest, Gradient Boosting, XGBoost, LightGBM, CatBoost). Strong analytical, problem-solving, and communication skills. Experience developing models from inception to deployment

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