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Full Time Data Scientist Forecasting Jobs in Oregon

Senior Data Scientist

OR · On-site +1

$140K - $190K/yr

Site Randomization Forecasting: Develop/enhance forecasting models for site randomization and ... full time team members. #LI-Remote

Data Scientist

OR · On-site +1

... Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure ... Proficient in data mining, statistical modeling, and AI-driven forecasting techniques, with ...

... Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure ... Proficient in data mining, statistical modeling, and AI-driven forecasting techniques, with ...

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk ... series analytics, forecasting) * Hands on experience with Python, Spark SQL, XGBoost, and ...

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk ... series analytics, forecasting) * Hands on experience with Python, Spark SQL, XGBoost, and ...

... forecasting, risk assessment, and decision-making processes. * The contractor shall conduct data ... Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure ...

... forecasting, risk assessment, and decision-making processes. * The contractor shall conduct data ... Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure ...

Senior Data Scientist

OR · Remote

$84K - $112K/yr

Apply statistical, forecasting, and machine learning techniques to solve business problems and ... Partner across Finance, FP&A, Data Science, and IT to turn business needs into practical solutions ...

$90K - $130K/yr

Overview LMI is seeking a skilled, full-time Health Policy Data Scientist . The successful ... modeling, time series forecasting, model evaluation, and model monitoring & retraining.

Senior Data Scientist must have knowledge of and access to program datasets and broader information ... Full time

Data Analytics/Business Intelligence Job Schedule: Full time Remote: No POSITION: Data Scientist I ... Develop, train, and deploy ML models for Time-series forecasting and anomaly detection.

About the role: We're looking for Data Scientists to join our team. In this role, you will serve as ... demand forecasting). * Familiarity with modern MLOps practices, cloud platforms (AWS ...

... power data-driven growth. As a Senior Marketing Decision Scientist II, you will shape how we measure, forecast, and optimize marketing performance across channels, helping Instacart make smarter ...

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Showing results 1-20

Full Time Data Scientist Forecasting information

What are the key skills and qualifications needed to thrive as a full time data scientist forecasting?

To thrive as a Full Time Data Scientist Forecasting, you need strong skills in statistical analysis, time series modeling, and a solid foundation in mathematics, usually supported by a degree in statistics, mathematics, computer science, or a related field. Proficiency with programming languages such as Python or R, experience with machine learning frameworks, and familiarity with data visualization and database management tools are essential. Excellent problem-solving abilities, communication skills, and business acumen help you translate complex data into actionable insights and collaborate with cross-functional teams. These skills are crucial for generating accurate forecasts that drive strategic business decisions and add measurable value to organizations.

What are some common challenges faced by data scientists specializing in forecasting, and how can they be addressed?

Data scientists in forecasting roles often encounter challenges such as managing data quality issues, handling seasonality or sudden shifts in data patterns, and aligning forecast outputs with business goals. To address these, it’s important to implement robust data cleaning processes, regularly update and validate models, and maintain close communication with business stakeholders to ensure forecasts are actionable. Collaborating with cross-functional teams, such as data engineers and domain experts, also helps in refining input data and interpreting results effectively.

What are the most commonly searched types of Data Scientist Forecasting jobs in Oregon?

The most popular types of Data Scientist Forecasting jobs in Oregon are:

What cities in Oregon are hiring for Full Time Data Scientist Forecasting jobs?

Cities in Oregon with the most Full Time Data Scientist Forecasting job openings:

Senior Data Scientist - Forecasting

Tiger Analytics Inc.

Portland, OR • On-site

Full-time

Re-posted 11 days ago


Job description

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 - Forecasting to join our advanced analytics team supporting leading Retail, CPG, and Supply Chain clients. In this role, you will design, develop, and deploy forecasting solutions that drive critical business decisions across demand planning, inventory optimization, replenishment, logistics, sales forecasting, and supply chain operations.
You will work closely with business stakeholders, data engineers, supply chain planners, and analytics leaders to build scalable forecasting models that deliver measurable business impact. The ideal candidate combines strong statistical forecasting expertise with hands-on machine learning experience and the ability to translate complex analytical findings into actionable business recommendations.
Key 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

Requirements
    • 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
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.