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Tiger Analytics

Delivers Data and AI transformation

Senior Data Scientist - Forecasting

Data ScienceConfirmed live in the last 24 hours
Full-timePortland, OR, USANo salary listedHybrid

About the Job

Requirements

  • At least 10 years of experience in applied data science or advanced analytics.
  • At least 5 years of hands-on experience in demand planning, demand forecasting, or sales forecasting.
  • Strong domain experience in consumer packaged goods, fast-moving consumer goods, retail, or similar industries.
  • Advanced proficiency in Python, including pandas, NumPy, scikit-learn, and statsmodels.
  • Strong SQL skills for large-scale data processing.
  • Proven experience deploying models in cloud environments; Azure is preferred.

Responsibilities

  • 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.

Desired Qualifications

  • Experience deploying models in Azure cloud environments.

About the Company

Tiger Analytics

Delivers Data and AI transformation

Tiger Analytics helps large organizations plan and execute Data and AI–led transformations at scale. It works with clients to translate business needs into data and AI initiatives, using an approach that combines business value mapping, agile operating models, and a platforms-based architecture, backed by partnerships with major hyperscalers. The company designs and delivers end-to-end data and AI solutions—from strategy and data engineering to model development and deployment—so that AI can be applied to tough, real-world problems. Unlike firms that rely mainly on standard playbooks, Tiger Analytics builds custom approaches and accelerators to suit each client’s value chain and operating model. With a global team of 5000+ technologists and consultants, the goal is to enable measurable value and practical outcomes through data and AI programs that work at enterprise scale.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
San Jose, CA
Founded
2010

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