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Freelance Time Series Analysis Jobs (NOW HIRING)

Mid-Data Scientist

Vienna, VA · On-site

$137K - $155K/yr

Apply regression, time-series analysis, and supervised and unsupervised machine learning techniques. * Work with partners to identify data fields, sources, and integration requirements. * Assess data ...

... time-series analysis • Improve local development and CI/CD for ML workflows using modern tooling and GitHub Actions Qualifications : Required : • Several years of experience with Python and ...

Apply regression, time-series analysis, and supervised and unsupervised machine learning techniques. * Work with partners to identify data fields, sources, and integration requirements. * Assess data ...

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 regression, time-series analysis, and supervised and unsupervised machine learning techniques. * Work with partners to identify data fields, sources, and integration requirements. * Assess data ...

GEN AI Engineer

Irving, TX · On-site

$106K - $127K/yr

... time series analysis and clustering. Qualifications : Required : • Strong Data Structures Any Language Code Comprehension Python or Java. • Ability to do hands on coding in the interview real ...

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 ...

Data Scientist

Chandler, AZ · On-site

$100 - $125/hr

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 ...

Gen AI Engineer

Irving, TX · On-site

$106K - $127K/yr

... time series analysis and clustering. Qualifications : Required : • Strong Data Structures Any Language Code Comprehension Python or Java. • Ability to do hands on coding in the interview real ...

... learning, time series analysis, econometrics) to solve complex forecasting challenges Design and implement scalable, reliable approaches to extract insights from large, complex datasets across ...

Showing results 41-60

Freelance Time Series Analysis information

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

As of Sep 7, 2026, the average hourly pay for freelance time series analysis 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 cities are hiring for Freelance Time Series Analysis jobs?

Cities with the most Freelance Time Series Analysis job openings:

What are the most commonly searched types of Time Series Analysis jobs?

The most popular types of Time Series Analysis jobs are:

What states have the most Freelance Time Series Analysis jobs?

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

Global Banking & Markets-New York-Associate, Quantitative Engineering-10452362

Goldman Sachs

New York, NY • On-site

$150K - $189K/yr

Full-time

Posted 26 days ago


Goldman Sachs rating

7.8

Company rating: 7.8 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

88th of 175 rated banks


Job description

Job Duties: Associate, Quantitative Engineering with Goldman Sachs & Co. LLC in New York, New York. Develop, implement, and document scenarios comprised of a broad range of economic and financial variables for businesses within the Firm.  Collaborate with internal stakeholders, analyzing user needs from a scenario design perspective and addressing data, model, and implementation issues. Analyze large data sets (structured and unstructured) to build predictive models of business-relevant market variables. Develop, refine, and improve scenarios by leveraging knowledge in financial markets, economics, current events, statistical analysis, and programming. Build and challenge risk models, identify and quantify vulnerabilities across market, credit, liquidity risk and modeling. Create and maintain clear and complete technical documentation of the risk-model performance testing approach and process.

Job Requirements: Master's degree (U.S. or foreign equivalent) in Financial Engineering, Financial Economics, Applied Mathematics, Data Science, Operations Research, or a related field and one (1) year of experience in job offered or a related quantitative engineering role OR Bachelor's degree (U.S. or foreign equivalent) in Financial Engineering, Financial Economics, Applied Mathematics, Data Science, Operations Research, or a related field and two (2) years of experience in job offered or a related quantitative engineering role. Prior experience must include one (1) year of experience (with a Master's degree) OR two (2) years of experience (with a Bachelor's degree) with 5 of the 7 following skills: C++, Java, or Python; developing probability and pricing models utilizing financial mathematics principles, including stochastic calculus, no-arbitrage pricing theory, partial differential equations, multivariable calculus, linear algebra, numerical methods, optimization, probability, or random processes; quantitative analysis and model development using advanced econometric, statistical, and mathematical techniques, including Bayesian analysis, time series analysis, or machine learning algorithms; performing risk management or scenario-based analysis; developing quantitative risk analytics, including factor models; developing rigorous and scalable data management and analysis tools to provide risk oversight and support the investment process; statistics and data driven performance analysis, including Linear Regression or Time Series Analysis to measure performance.

Salary Range: Annual base salary for this New York, New York-based position is $150,000 - $189,000.

The Goldman Sachs Group, Inc., 2026. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.


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About Goldman Sachs

Sourced by ZipRecruiter

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869