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Time Series Forecasting Jobs (NOW HIRING)

Zillow

Senior Applied Scientist, Forecasting

$152K - $244K/yr

Develop and deploy time-series and econometric forecasting models that address critical customer, housing market, and business questions, without exposing proprietary product details. * Own the end ...

Walmart

(USA) Data Scientist III

Goshen, AR · Remote

$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

Cave Springs, AR · On-site +1

$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) Data Scientist III

Farmington, AR · Remote

$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 +1

$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) Data Scientist III

Pea Ridge, AR · Remote

$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 +1

$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 +1

$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

Tontitown, AR · On-site +1

$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 +1

$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) Data Scientist III

Greenland, AR · Remote

$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

Bella Vista, AR · On-site +1

$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) Data Scientist III

Gravette, AR · Remote

$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 +1

$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) Data Scientist III

Bentonville, AR · Remote

$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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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 Jun 11, 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:
What job categories do people searching Time Series Forecasting jobs look for? The top searched job categories for Time Series Forecasting jobs are:
Time Series Forecasting jobs near you
Infographic showing various Time Series Forecasting job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 83% Physical, 6% Hybrid, and 11% Remote job distribution, with an average salary of $69,664 per year, or $33.5 per hour.
Staff Finance Data Scientist, Consumption Forecasting

Staff Finance Data Scientist, Consumption Forecasting

Harnham

San Francisco, CA • Hybrid

Other

Posted 19 days ago

Job description

Staff Finance Data Scientist, Consumption Forecasting

Location: San Francisco or New York | Hybrid (3 days per week in office)

Salary: $240-300k base + bonus + equity (RSUs)


This is a rare chance to own forecasting infrastructure at the center of a high-growth, consumption-based developer platform, one that powers some of the world's most dynamic applications and scales with every developer and enterprise building on it.


As a consumption-based business, forecasting usage across compute, bandwidth, edge, and storage isn't a support function. It's foundational to how we plan infrastructure, revenue, and long-term strategy. This role exists to lead that work at the highest level.


What you'll own

This is a senior individual contributor role with organization-wide impact. You'll define forecasting methodology, build systems that scale with a rapidly growing platform, and sit at the intersection of Finance, Infrastructure, Product, and GTM with direct visibility to executive leadership.

  • Own production revenue forecasting end-to-end: model development, backtesting, deployment, monitoring, and iteration from first principles to live system
  • Build forecasting systems that account for usage-based pricing dynamics, consumption patterns, and customer lifecycle across the platform, built for how this business actually works, not retrofitted SaaS models
  • Design hierarchical forecasting models across account, cohort, segment, and global aggregate levels, covering operational, quarterly, and long-range planning cycles
  • Build scenario simulation frameworks to evaluate pricing changes, packaging adjustments, and product launches
  • Partner with Finance on board-level reporting, with Infrastructure Engineering on capacity planning, and with Product and GTM on adoption curves and usage drivers


What we're looking for

  • 7+ years in data science, quantitative analytics, or applied statistics at senior or staff level
  • Deep expertise in time-series forecasting and statistical modelling in a usage-based or SaaS environment
  • Proven track record building and productionizing ML systems at scale
  • Strong Python and SQL, with experience on large-scale usage and billing datasets
  • Familiarity with probabilistic modelling, hierarchical forecasting, and causal inference
  • Experience partnering with Finance or executive leadership on planning cycles
  • Comfortable operating autonomously in fast-moving, ambiguous environments


Nice to have

  • Background in cloud infrastructure, developer tools, or consumption-based revenue models
  • Familiarity with modern data stacks: Snowflake, Delta Lake, dbt, Airflow
  • Prior technical mentorship or informal leadership experience

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