Senior Data Scientist – Forecasting

Tiger Analytics

Senior Data Scientist designing and deploying forecasting models for retail, CPG, and supply chain clients. Collaborating with business stakeholders to drive critical decisions across demand planning and logistics.

Posted 7/6/2026full-timePortland • New York, Oregon • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in designing and deploying time-series forecasting models and machine-learning-based forecasting solutions, with a strong focus on collaboration with business stakeholders to translate demand planning requirements into actionable analytics. Proficient in cloud model implementation and large-scale data processing.

Highest-signal resume keywords

Time-Series ForecastingMachine Learning ModelsSQL Data ProcessingPython ProficiencyCloud Model Deployment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ARIMASARIMAETSGBMRandom ForestXGBoostLightGBMData ExtractionData TransformationData Analysis

Soft Skills

CollaborationCommunicationLeadershipProblem Solving

Tools & Technologies

AzurePandasNumPyScikit-learnStatsmodels

Industry Keywords

CPGFMCGRetailDemand PlanningDemand ForecastingSales Forecasting

Tech Stack

Tools & technologies

AzureCloudNumpyPandasPythonScikit-LearnSQL

About the role

Key responsibilities & impact

Design, develop, and deploy time-series forecasting models including ARIMA, SARIMA, and ETS
Build machine-learning-based forecasting models using GBM, Random Forest, XGBoost, and LightGBM
Develop hierarchical and multi-level forecasting solutions across products, regions, and channels
Perform large-scale data extraction, transformation, and analysis using SQL
Partner with supply chain, merchandising, planning, and business teams to understand forecasting requirements.
Translate business problems into analytical solutions.
Present model insights and recommendations to senior client stakeholders.
Lead workshops and forecasting strategy discussions with clients.
Implement and operationalize models in cloud environments
Collaborate with business stakeholders to translate demand planning requirements into scalable analytics solutions

Requirements

What you’ll need

10+ years of experience in applied data science or advanced analytics
5+ years of hands-on experience in demand planning, demand forecasting, or sales forecasting
Strong domain experience in CPG, FMCG, retail, or similar industries
Advanced proficiency in Python (pandas, NumPy, scikit-learn, statsmodels)
Strong SQL skills for large-scale data processing
Proven experience deploying models in cloud environments (Azure preferred)

Benefits

Comp & perks

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.