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Freelance Time Series Forecasting Jobs (NOW HIRING)

This role requires hands-on experience with time series forecasting, anomaly detection, event classification, and correlation ML algorithms. Additionally, experience in integrating with large ...

(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 ...

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

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 ...

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

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 ...

(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 ...

Showing results 21-40

Freelance Time Series Forecasting information

See salary details

$14

$47

$132

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

As of Aug 8, 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 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.

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 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.
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:
Infographic showing various Freelance Time Series Forecasting job openings in the United States as of August 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

AI/ML Engineer

Redolent, Inc.

Phoenix, AZ • On-site

Contractor

Re-posted 22 days ago


Job description

Job Title: AI/ML Engineer
Location: Phoenix, AZ
Experience Level: 8+ years
Rate:
Job Description:
We are seeking a highly skilled AI/ML Engineer to join our team. The ideal candidate will have extensive experience in designing and developing machine learning algorithms and deep learning applications, particularly for observability data (AIOps). This role requires hands-on experience with time series forecasting, anomaly detection, event classification, and correlation ML algorithms. Additionally, experience in integrating with large language models (LLMs) for effective summarization is essential.
Key Responsibilities:
  • Design and develop machine learning algorithms for time series forecasting, anomaly detection, event classification, and correlation.
  • Develop and implement deep learning applications and systems for observability data (AIOps).
  • Integrate with large language models (LLMs) using prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) techniques.
  • Implement MCP client and server within the Grafana ecosystem or similar platforms.
  • Collaborate with cross-functional teams to ensure seamless integration and deployment of ML models.
  • Lead and mentor a team of engineers, both onshore and offshore.

Required Skills and Experience:
  • Programming Languages: Proficiency in Python and R.
  • ML Frameworks: Experience with TensorFlow, PyTorch, and scikit-learn.
  • Cloud Platforms: Working knowledge of Google Cloud and Azure.
  • Front-End Frameworks/Libraries: Experience with React, Angular, Vue.js, and jQuery.
  • Design Tools: Proficiency in Figma, Adobe XD, or Sketch.
  • Databases: Knowledge of MySQL, MongoDB, and PostgreSQL.
  • Server-Side Languages: Familiarity with Python, Node.js, and Java.
  • Version Control: Experience with Git and other version control systems.
  • Testing: Knowledge of testing frameworks and methodologies.
  • Agile Development: Experience with agile development methodologies.
  • Communication and Collaboration: Strong communication and collaboration skills.

Preferred Qualifications:
  • Experience in AIOps and handling observability data.
  • Proven track record of leading and mentoring engineering teams.
  • Strong problem-solving skills and the ability to work in a fast-paced environment

Redolent logo

About Redolent

Sourced by ZipRecruiter

Redolent, a dynamic and rapidly expanding company committed to excellence in software solutions, where success is fueled by a combination of technical expertise and efficient management practices. Our solutions create a measurable delta in our clients’ productivity and profitability, contributing to their growth and success.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

San Jose, CA, US

Year founded

2008

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