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Internship Time Series Forecasting Jobs (NOW HIRING)

Walmart

(USA) Senior, Data Scientist

Tontitown, AR · On-site

$90K - $180K/yr

Develop scalable time series forecasting systems leveraging global models like Temporal Fusion Transformers, N-BEATS, and PATCHTST , enabling robust forecasting across thousands of retail and e ...

Walmart

(USA) Senior, Data Scientist

Anderson, MO · On-site

$90K - $180K/yr

Develop scalable time series forecasting systems leveraging global models like Temporal Fusion Transformers, N-BEATS, and PATCHTST , enabling robust forecasting across thousands of retail and e ...

Walmart

(USA) Senior, Data Scientist

Decatur, AR · On-site

$90K - $180K/yr

Develop scalable time series forecasting systems leveraging global models like Temporal Fusion Transformers, N-BEATS, and PATCHTST , enabling robust forecasting across thousands of retail and e ...

Cargill

Senior Data Scientist

Wayzata, MN · On-site

$148K/yr

... time series forecasting framework. Specific job duties include: (1) develop complex proofs of concept, minimum viable products, and fully deployable forecasting solutions within the global food ...

Walmart

(USA) Senior, Data Scientist

Greenland, AR · On-site

$90K - $180K/yr

Develop scalable time series forecasting systems leveraging global models like Temporal Fusion Transformers, N-BEATS, and PATCHTST , enabling robust forecasting across thousands of retail and e ...

Akraya Inc.

AI/ML Consultant: 26-01611

Mountain View, CA · On-site +1

$75 - $85/hr

Time Series Forecasting: Build accurate predictive models for revenue forecasting, consumption trends, and long-term financial trajectories. * Data Integration: Work with existing large-scale data ...

Walmart

(USA) Senior, Data Scientist

Cave Springs, AR · On-site

$90K - $180K/yr

Develop scalable time series forecasting systems leveraging global models like Temporal Fusion Transformers, N-BEATS, and PATCHTST , enabling robust forecasting across thousands of retail and e ...

Walmart

(USA) Senior, Data Scientist

Pea Ridge, AR · On-site

$90K - $180K/yr

Develop scalable time series forecasting systems leveraging global models like Temporal Fusion Transformers, N-BEATS, and PATCHTST , enabling robust forecasting across thousands of retail and e ...

Cargill

Senior Data Scientist

Wayzata, MN · On-site

$148K/yr

... time series forecasting framework. Specific job duties include: (1) develop complex proofs of concept, minimum viable products, and fully deployable forecasting solutions within the global food ...

Walmart

(USA) Senior, Data Scientist

Bella Vista, AR · On-site

$90K - $180K/yr

Develop scalable time series forecasting systems leveraging global models like Temporal Fusion Transformers, N-BEATS, and PATCHTST , enabling robust forecasting across thousands of retail and e ...

Walmart

(USA) Senior, Data Scientist

Gravette, AR · On-site

$90K - $180K/yr

Develop scalable time series forecasting systems leveraging global models like Temporal Fusion Transformers, N-BEATS, and PATCHTST , enabling robust forecasting across thousands of retail and e ...

Walmart

(USA) Senior, Data Scientist

Johnson, AR · On-site

$90K - $180K/yr

Develop scalable time series forecasting systems leveraging global models like Temporal Fusion Transformers, N-BEATS, and PATCHTST , enabling robust forecasting across thousands of retail and e ...

Cargill

Senior Data Scientist

Wayzata, MN

$148K/yr

... time series forecasting framework. Specific job duties include: (1) develop complex proofs of concept, minimum viable products, and fully deployable forecasting solutions within the global food ...

Walmart

(USA) Senior, Data Scientist

Elkins, AR · On-site

$90K - $180K/yr

Develop scalable time series forecasting systems leveraging global models like Temporal Fusion Transformers, N-BEATS, and PATCHTST , enabling robust forecasting across thousands of retail and e ...

Walmart

(USA) Senior, Data Scientist

Centerton, AR · On-site

$90K - $180K/yr

Develop scalable time series forecasting systems leveraging global models like Temporal Fusion Transformers, N-BEATS, and PATCHTST , enabling robust forecasting across thousands of retail and e ...

Walmart

(USA) Senior, Data Scientist

Goshen, AR · On-site

$90K - $180K/yr

Develop scalable time series forecasting systems leveraging global models like Temporal Fusion Transformers, N-BEATS, and PATCHTST , enabling robust forecasting across thousands of retail and e ...

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Internship Time Series Forecasting information

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How much do internship time series forecasting jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for internship time series forecasting in the United States is $19.86, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $22.36 per hour, depending on experience, location, and employer.

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 the key skills and qualifications needed to thrive as an Internship Time Series Forecasting, and why are they important?

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 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 are some typical projects or tasks an intern in time series forecasting might work on during their internship?

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.
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Internship Time Series Forecasting jobs near you
Infographic showing various Internship Time Series Forecasting job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 72% Full Time, and 27% Part Time. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $41,299 per year, or $19.9 per hour.
Senior Data Scientist - Forecasting

Senior Data Scientist - Forecasting

Tiger Analytics Inc.

Remote

Full-time

Posted 27 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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