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Freelance Time Series Forecasting Jobs (NOW HIRING)

Inherent Technologies

Data Scientist

Chandler, AZ · Remote

Strong Time Series forecasting, ML, deep learning and standard statistical methods to evaluate models. Experience working on supply chain projects. We are seeking a highly skilled Data Scientist to ...

Gyrus AI

AI / Machine Learning Engineer

Santa Clara, CA · On-site

$80 - $120/hr

Minimum 2 years experience designing and implementing time series forecasting. * Minimum 2 years experience designing and implementing machine learning solutions including supervised and unsupervised ...

Techvilla Solutions

Data Scientist

Addison, TX

Experience in time-series forecasting, causal inference, feature engineering, and advanced data sampling/resampling techniques. * Strong expertise in geospatial analytics and LiDAR data processing.

Techvilla Solutions

Data Scientist

Sunnyvale, TX

Experience in time-series forecasting, causal inference, feature engineering, and advanced data sampling/resampling techniques. * Strong expertise in geospatial analytics and LiDAR data processing.

Techvilla Solutions

Data Scientist

Lancaster, TX · On-site

Experience in time-series forecasting, causal inference, feature engineering, and advanced data sampling/resampling techniques. * Strong expertise in geospatial analytics and LiDAR data processing.

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Freelance Time Series Forecasting information

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$47

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

As of Aug 14, 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.
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What are the most commonly searched types of Time Series Forecasting jobs?

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What states have the most Freelance Time Series Forecasting jobs?

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Freelance Time Series Forecasting jobs near you
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 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

DATA SCIENTIST II-FINANCIAL & TIME SERIES FORECASTING

VSolvit

Norco, CA • On-site

$95K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 4 days ago

Job description

*100% ON-SITE Norco, CA*

Job Summary

We are seeking a talented and driven Data Scientist to join our evolving and dynamic team. This position is open to candidates at Mid to Senior level of experience who possess a strong mathematical foundation and a passion for predictive modeling. In this role, you will build, validate, and maintain multi-variable time series forecasting models to project financial data and agency expenditures over multi-year horizons. You will work directly with financial records, taking ownership of the data lifecycle, from scraping, joining, and transforming raw datasets to rigorous model validation. We are looking for a resourceful problem-solver who excels at mathematical modeling, adapts quickly to changing data environments, and ensures our predictive tools remain accurate and resilient.


As with any position, additional expectations exist. Some of these are, but are not limited to, adhering to normal working hours, meeting deadlines, following company policies as outlined by the Employee Handbook, communicating regularly with assigned supervisor(s), and staying focused on the assigned tasks including company meetings, and completing other tasks as assigned.

Responsibilities

  • Time Series & Mathematical Modeling: Independently develop, compare, validate, and maintain advanced single-variable and multi-variable forecasting models using methods such as ARIMA, Prophet, regression, exponential smoothing, and tree-based models.
  • Data Pipeline Construction & Scripting: Design and maintain modular Python scripts and data pipelines to scrape, extract, clean, join, validate, and transform structured and unstructured financial data.
  • Model Validation & Quality Assurance: Design and execute backtesting, time-based cross-validation, regression testing, and model-monitoring workflows to ensure accuracy when code or data inputs change.
  • Quantitative Feature Engineering: Analyze historical pricing, inflation indices, economic indicators, budget cycles, and spending patterns to develop statistically and economically defensible features.
  • Model Performance & Risk Analysis: Evaluate forecast performance using RMSE, MAE, MAPE, bias, benchmark comparisons, and prediction intervals while preventing data leakage and look-ahead bias.
  • Technical Ownership: Document model assumptions, limitations, data dependencies, validation results, and recommended uses of model outputs.
  • Stakeholder Communication: Translate complex modeling results into clear reports, visualizations, recommendations, and leadership briefings.
  • Technical Guidance: Provide technical support, code reviews, and guidance to junior Data Scientists or analysts as assigned.
  • Resourcefulness & Learning: Evaluate new forecasting, statistical, AI, and machine-learning approaches and recommend improvements to analytical workflows.
  • Compliance & Security: Maintain strict compliance with defense security protocols, confidentiality guidelines, and internal data handling policies.
Basic Qualifications
US Citizenship Required
Ability to obtain and maintain a Secret Security Clearance
  • Bachelor’s degree in Mathematics, Statistics, Computer Science, Data Science, Economics, Finance, Engineering, or a related quantitative field and at least three years of relevant professional experience.
  • A Master’s or Ph.D. degree in a related quantitative field may substitute for a portion of the professional experience requirement.
  • Strong mathematical foundation in linear algebra, calculus, probability, statistics, and hypothesis testing.
  • Professional proficiency in Python for data manipulation, statistical modeling, time series forecasting, and automation scripting.
  • Demonstrated professional experience developing and validating predictive or time series forecasting models.
  • Demonstrated knowledge of both single-variable and multi-variable forecasting methods.
  • Experience with backtesting, time-based cross-validation, model benchmarking, and error-metric evaluation.
  • Strong understanding of data leakage, look-ahead bias, overfitting, feature stability, and model uncertainty.
  • Experience developing clean, modular, documented, and maintainable analytical code.
  • Ability to independently investigate data-quality, pipeline, or model-performance issues.
  • Strong verbal and written communication skills with the ability to explain mathematical models, assumptions, risks, and results to non-technical stakeholders.
  • If applicable: If you are or have been recently employed by the U.S. government, a post-employment ethics letter will be required if employment is offered.
Preferred Skills and Qualifications
  • Master’s or Ph.D. degree in Mathematics, Statistics, Computer Science, Data Science, Economics, Finance, Engineering, or a related quantitative field.
  • Professional experience in Economics, Finance, Econometrics, Quantitative Accounting, financial planning, or budget forecasting.
  • Experience forecasting financial expenditures, pricing trends, inflation-adjusted costs, or multi-year budget requirements.
  • Experience with scikit-learn, statsmodels, Prophet, XGBoost, LightGBM, or similar modeling libraries.
  • Experience with SQL, APIs, web scraping, ETL processes, databases, and automated data pipelines.
  • Experience working with government financial data or in a defense-related environment.
  • Experience with automated testing, model monitoring, reproducible analytical workflows, or production model deployment.
  • Experience with DevOps practices, Git, GitHub, CI/CD pipelines, containers, or cloud environments.
  • Experience preparing technical documentation, customer briefings, and leadership presentations.
  • Experience reviewing code or mentoring junior technical staff.
  • Continued education and knowledge of current and emerging AI/ML technologies.
  • Strong problem-solving skills and the ability to work independently in a fast-paced environment.


Company Summary

Join the VSolvit Team! Founded in 2006, VSolvit (pronounced 'We Solve It') is a technology services provider that specializes in cybersecurity, cloud computing, geographic information systems (GIS), business intelligence (BI) systems, data warehousing, engineering services, and custom database and application development. VSolvit is an award winning WOSB, CA CDB, MBE, WBE, and CMMI Level 3 certified company. We offer a customizable health benefits program that best meets the needs of its employees. Offering may include: medical, dental, and vision insurance, life insurance, long and short-term disability and other insurance products, Health Savings Account, Flexible Spending Account, 401K Retirement Plan options, Tuition Reimbursement, and assorted voluntary benefits. Our goal is to grow together and enjoy the work that we do as a team.


VSolvit LLC is an Equal Opportunity/Affirmative Action employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, national origin, protected veteran status, or disability status