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Time Series Forecasting Jobs (NOW HIRING)

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 ...

(USA) Senior, Data Scientist

Lowell, 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 ...

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 ...

(USA) Senior, Data Scientist

Noel, 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 ...

(USA) Senior, Data Scientist

Rogers, 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 ...

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 ...

Expertise in econometric models, including regression analysis, time series forecasting, and advanced statistical techniques. * Hands-on experience working with large data sets. * Proven experience ...

The successful candidate should possess deep expertise in time-series forecasting, machine learning operations, and building scalable data pipelines. They must demonstrate the ability to transform ...

They are fluent across the modern ML and applied AI stack-classical supervised learning, time-series forecasting, causal inference, recommendation systems, and LLM-based approaches-and they know ...

They are fluent across the modern ML and applied AI stack-classical supervised learning, time-series forecasting, causal inference, recommendation systems, and LLM-based approaches-and they know ...

Expertise in econometric models, including regression analysis, time series forecasting, and advanced statistical techniques. Hands-on experience working with large data sets. Proven experience in ...

Build and optimize machine learning models for classification, regression, predictive analytics, and time series forecasting. * Develop end-to-end ML pipelines and support deployment of models into ...

Apply deep learning techniques including LSTM, N-BEATS, CNN, and RNN for time series forecasting and other predictive tasks. * Utilize LLMs for natural language processing and generative AI ...

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Time Series Forecasting information

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$51.5K

$69.7K

$98K

How much do time series forecasting jobs pay per year?

As of Jul 7, 2026, the average yearly pay for time series forecasting in the United States is $69,664.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $74,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Time Series Forecasting position, and why are they important?

Excelling in Time Series Forecasting requires a strong background in statistics, mathematics, data analysis, and experience with forecasting methodologies, often supported by a degree in a quantitative field. Proficiency with programming languages such as Python or R, statistical software (e.g., SAS, MATLAB), and familiarity with machine learning frameworks are commonly expected, along with relevant certifications being a plus. Attention to detail, problem-solving skills, and effective communication are important soft skills for interpreting results and collaborating with stakeholders. Mastery of these skills ensures accurate forecasting, actionable insights, and valuable contributions to data-driven business decisions.

What are some common challenges professionals face in Time Series Forecasting roles?

Professionals in Time Series Forecasting frequently encounter challenges such as handling missing or irregular data, selecting appropriate models for complex real-world scenarios, and accounting for seasonality and trends in datasets. They are often tasked with transforming raw data into a usable format, validating model performance, and continuously refining models as new data becomes available. Collaboration with business teams is essential to ensure forecasts align with organizational goals and are clearly communicated to non-technical stakeholders. Overcoming these challenges requires both technical expertise and effective problem-solving approaches, making the work dynamic and impactful.

What is a Time Series Forecasting job?

A Time Series Forecasting job involves analyzing sequential data points collected over time to identify patterns and trends, then using statistical and machine learning models to make future predictions. Professionals in this field work with historical data, applying techniques such as ARIMA, exponential smoothing, and deep learning models like LSTMs. These forecasts help businesses optimize decision-making in areas like sales, finance, inventory management, and demand planning. Strong skills in data analysis, programming (Python, R), and domain expertise are typically required.

More about Time Series Forecasting jobs
What cities are hiring for Time Series Forecasting jobs? Cities with the most Time Series Forecasting job openings:
What are the most commonly searched types of Time Series Forecasting jobs? The most popular types of Time Series Forecasting jobs are:
What states have the most Time Series Forecasting jobs? States with the most job openings for Time Series Forecasting jobs include:
Infographic showing various Time Series Forecasting job openings in the United States as of July 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $69,664 per year, or $33.5 per hour.
(USA) Senior, Data Scientist

(USA) Senior, Data Scientist

Walmart

Springdale, AR • On-site

$90K - $180K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 21,929 frontline employees who took The Breakroom Quiz

22nd of 39 rated national retailers


Job description

Position Summary...What you'll do...Role summary:
As a Senior Data Scientist at Walmart, you will leverage advanced analytical techniques and domain expertise to identify, develop, and deploy data-driven solutions that support strategic business objectives. This role requires proficiency in data sourcing, model development, validation, and scalable deployment, alongside strong coding and visualization skills. You will collaborate across functions to translate complex business challenges into actionable insights, mentor team members, and ensure alignment with data governance and quality standards. Your contributions will drive informed decision-making and enhance operational efficiency within a dynamic, data-centric environment.
  About the team:
Our team collaborates closely with Walmart U.S. stores and eCommerce to enhance customer experiences through technological innovation. We empower team members, stores, and merchants by leveraging data science and advanced analytics across various categories, including groceries, entertainment, and sporting goods. Key focus areas include in-store service, merchant tools, data science, search, and personalization. By integrating data-driven insights and scalable solutions, the team supports business growth and operational excellence, ensuring customers receive a seamless shopping experience whether online or in-store.
  What you'll do:
  • 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-commerce time series.
  • Foundational Knowledge on advanced regression.
  • Apply generative AI to synthesize time series data, enhance model training pipelines, and build intelligent NLP-based assistants for analytics enablement.
  • Design and train large-scale neural networks for time series, anomaly detection, and causal inference, with deployment via automated batch pipelines
  • Build and maintain production-ready applications on cloud platforms, integrated with internal systems to deliver insights at scale.
  • Collaborate with cross-functional teams to define objectives, formulate hypotheses, and deploy models that directly influence decision-making.

What you'll bring:
  • Strong foundation in time series forecasting, deep learning, and optimization theory, with a focus on sequence modeling and attention-based architectures.
  • Experience in training and deploying transformer-based neural networks (e.g., TFT, LSTM, GPT variants) for real-world business applications.
  • Proficient in Python, SQL, and hands-on with PyTorch, TensorFlow/Keras, Scikit-learn, and statsmodels.
  • Demonstrated ability to work on GPU-based model training pipelines, and exposure to managing experimentation at scale.
 
At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
Bentonville, Arkansas US-09050: The annual salary range for this position is $90,000.00 - $180,000.00
Sunnyvale, California US-04397: The annual salary range for this position is $117,000.00 - $234,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
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Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field.Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.Primary Location...805 Se Moberly Ln., Bentonville, AR 72712, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

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About Walmart

Sourced by ZipRecruiter

From our humble beginnings as a small discount retailer in Rogers, Ark., Walmart has opened thousands of stores in the U.S. and expanded internationally. Through innovation, we're creating a seamless experience to let customers shop anytime and anywhere online and in stores. We are creating opportunities and bringing value to customers and communities around the globe. Walmart operates approximately 10,500 stores and clubs in 19 countries and eCommerce websites. We employ 2.1 million associates around the world — nearly 1.6 million in the U.S. alone.

Industry

Retail and transportation and warehousing

Company size

10,000+ Employees

Headquarters location

Bentonville, AR, US

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