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Freelance Time Series Forecasting Jobs (NOW HIRING)

(USA) Senior, Data Scientist

Greenland, AR ยท 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

Anderson, MO ยท 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

Decatur, AR ยท 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

Tontitown, AR ยท 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

Johnson, AR ยท 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

Fayetteville, AR ยท 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

Pea Ridge, AR ยท 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 ...

Data Scientist

Bethesda, MD ยท On-site

$120 - $180/hr

Lead the development, validation, and deployment of predictive models, including time series forecasting, anomaly detection, and simulation models, to address USCIS mission and operational challenges.

(USA) Senior, Data Scientist

Farmington, AR ยท 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

Elm Springs, AR ยท 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

Goshen, AR ยท 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

Centerton, AR ยท 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

Springdale, AR ยท 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 ยท 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

Bentonville, AR ยท 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 ...

Showing results 41-60

Freelance Time Series Forecasting information

See salary details

$14

$47

$132

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

As of Sep 4, 2026, the average hourly pay for freelance time series forecasting in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

What is freelance time series forecasting?

Freelance time series forecasting involves independently analyzing and predicting future data points based on historical time-ordered data for clients or organizations. Freelancers in this field typically use statistical and machine learning methods to identify patterns and trends in data such as sales, stock prices, or weather. They may work on short-term projects or ongoing contracts, providing insights that help clients make informed business decisions. The flexibility of freelancing allows experts to work with various industries and datasets, often remotely.

What are the key skills and qualifications needed to thrive as a freelance time series forecaster, and why are they important?

To thrive as a Freelance Time Series Forecaster, you need a strong background in statistics, mathematics, and data analysis, often supported by a relevant degree and experience with forecasting methodologies. Proficiency in statistical programming languages (like Python or R), machine learning libraries (such as scikit-learn, statsmodels, or Prophet), and data visualization tools is typically required. Strong problem-solving skills, clear communication, and the ability to manage client relationships are crucial soft skills. These competencies enable accurate forecasting, effective project delivery, and successful collaboration with clients in data-driven environments.

What are some common challenges freelance time series forecasters face when working with clients?

Freelance time series forecasters often encounter challenges such as limited access to high-quality or complete datasets, which can impact the accuracy of their models. Communicating technical findings to clients with varying levels of statistical knowledge can also be demanding, requiring clear and actionable reporting. Additionally, managing multiple projects with different timelines and expectations requires strong organizational skills. Building trust with clients by explaining model limitations and providing transparent forecasts is key to long-term success in this role.

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

AspectFreelance Time Series ForecastingFreelance Data Analyst
CredentialsStatistical, data analysis, or domain-specific certificationsData analysis, statistics, or related certifications
Work EnvironmentRemote, project-based, often specialized in forecasting modelsRemote or on-site, broader data analysis tasks across industries
Industry UsageFinance, supply chain, sales forecastingMarketing, operations, business intelligence
Search & Comparison IntentFocus on predictive modeling and forecasting skillsBroader data analysis and reporting skills

Freelance Time Series Forecasting specialists focus on creating models to predict future data points, often in finance or supply chain contexts. Freelance Data Analysts handle a wider range of data tasks, including reporting and insights. While both roles require analytical skills, forecasting is more specialized in predictive modeling, whereas data analysis covers broader data interpretation.

More about Freelance Time Series Forecasting jobs

What cities are hiring for Freelance Time Series Forecasting jobs?

Cities with the most Freelance 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 Freelance Time Series Forecasting jobs?

States with the most job openings for Freelance Time Series Forecasting jobs include:

What job categories do people searching Freelance Time Series Forecasting jobs look for?

The top searched job categories for Freelance Time Series Forecasting jobs are:

Infographic showing various Freelance Time Series Forecasting job openings in the United States as of August 2026, with employment types broken down into 95% Full Time, 4% Part Time, and 1% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Senior Data Scientist - Forecasting

Tiger Analytics Inc.

Portland, OR โ€ข On-site

Full-time

Re-posted 29 days ago


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

  • Partner with supply chain, merchandising, planning, and business teams to understand forecasting requirements


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.