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Internship Time Series Forecasting Jobs in Oregon

OneStudyTeam

Senior Data Scientist

OR · On-site +1

$140K - $190K/yr

Create and refine predictive models (Bayesian inference, regression analysis, time-series forecasting) to address other key clinical trial challenges and improve decision-making. * AI Monitoring and ...

Hitachi

Data Scientist I or II (MAD-BS-OR)

Hillsboro, OR · On-site +1

$121K - $167K/yr

Develop, train, and deploy ML models for Time-series forecasting and anomaly detection. Classification and regression on tabular and sensor data, predictive maintenance and failure prediction

Cisco

Applied AI Scientist

Portland, OR

... forecasting) for detecting anomalies in high-volume operational data. * Hands-on experience developing, fine-tuning, or adapting foundation models for domain-specific data such as logs, time-series ...

Cisco

Applied AI Scientist

Hillsboro, OR · On-site

... forecasting) for detecting anomalies in high-volume operational data. * Hands-on experience developing, fine-tuning, or adapting foundation models for domain-specific data such as logs, time-series ...

Northwestern Mutual

Excellent time-management skills * Interest in financial literacy and planning tools * Business ... Support for SIE, Series 6, Series 63 registrations (eligibility required)

Northwestern Mutual

Excellent time-management skills * Interest in financial literacy and planning tools * Business ... Support for SIE, Series 6, Series 63 registrations (eligibility required)

Northwestern Mutual

Excellent time-management skills * Interest in financial literacy and planning tools * Business ... Support for SIE, Series 6, Series 63 registrations (eligibility required)

Northwestern Mutual

Excellent time-management skills * Interest in financial literacy and planning tools * Business ... Support for SIE, Series 6, Series 63 registrations (eligibility required)

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Internship Time Series Forecasting information

What is an internship in time series forecasting?

An Internship in Time Series Forecasting is a temporary position that allows students or recent graduates to gain hands-on experience analyzing and predicting data points over time. Interns typically work with historical datasets to identify trends, seasonality, and patterns, often using statistical or machine learning models. These internships provide valuable exposure to real-world forecasting challenges in industries such as finance, retail, or technology, and help interns develop both technical and analytical skills. Interns may also collaborate with data scientists and business analysts to support decision-making processes.

What do interns in time series forecasting do?

As an intern in time series forecasting, you can expect to work on projects involving the analysis and modeling of sequential data—such as sales figures, stock prices, or sensor readings. Common tasks include cleaning and visualizing time-based datasets, applying statistical and machine learning models (like ARIMA or LSTM), and evaluating model performance. Interns often collaborate with data scientists and analysts to interpret results, present findings, and help integrate forecasting models into business processes. These experiences provide valuable hands-on exposure to both the technical and collaborative aspects of data science.

What skills and qualifications are needed for an internship in time series forecasting?

To thrive as an Internship Time Series Forecasting, you need a solid background in statistics, data analysis, and programming, often supported by coursework or experience in mathematics, economics, or computer science. Familiarity with statistical software and programming languages such as Python or R, as well as tools like pandas, NumPy, and forecasting libraries (e.g., Prophet, ARIMA), is typically required. Strong problem-solving skills, attention to detail, and effective communication set candidates apart in this analytical role. These abilities are crucial for accurately analyzing data trends, communicating insights, and delivering reliable forecasts that support business decisions.

What is the difference between Internship Time Series Forecasting vs Data Analyst?

AspectInternship Time Series ForecastingData Analyst
Required CredentialsBasic knowledge of statistics, programming, and time series conceptsBachelor's degree in data-related fields, some roles may require certifications
Work EnvironmentInternship setting, often in finance, retail, or tech companiesFull-time or part-time roles in various industries, including finance, healthcare, and marketing
Employer & Industry UsageUsed for entry-level training and project support in forecasting tasksUsed for data analysis, reporting, and decision-making across industries

Internship Time Series Forecasting focuses on entry-level, project-based work involving forecasting models, while Data Analysts perform broader data analysis tasks, including reporting and insights. Both roles require analytical skills but differ in scope and experience level.

What are popular job titles related to Internship Time Series Forecasting jobs in Oregon?

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Internship Time Series Forecasting jobs near you

Senior Data Scientist - Forecasting

Portland, OR

Tiger Analytics Inc.
Business Management Consulting • 201 - 500 employees
Learn more about Tiger Analytics Inc.external

Full-time

Re-posted 24 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.

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