Knowledge of time series analysis and forecasting techniques * Financial industry experience a plus * Excellent communication and collaboration skills
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Knowledge of time series analysis and forecasting techniques * Financial industry experience a plus * Excellent communication and collaboration skills
... learning, time series analysis, econometrics) to solve complex forecasting challenges Design and implement scalable, reliable approaches to extract insights from large, complex datasets across ...
... learning, time series analysis, econometrics) to solve complex forecasting challenges Design and implement scalable, reliable approaches to extract insights from large, complex datasets across ...
... learning, time series analysis, econometrics) to solve complex forecasting challenges Design and implement scalable, reliable approaches to extract insights from large, complex datasets across ...
... learning, time series analysis, econometrics) to solve complex forecasting challenges Design and implement scalable, reliable approaches to extract insights from large, complex datasets across ...
Lead Data Engineer
Minneapolis, MN · On-site
... Time Series Analysis, Linear and Non-linear Modeling, Data Mining, Optimization and Simulation and Data Engineering (Snowflake, Oracle and SQL) 5 years of experience in designing data conformation ...
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Lead Data Engineer
Minneapolis, MN · On-site
... Time Series Analysis, Linear and Non-linear Modeling, Data Mining, Optimization and Simulation and Data Engineering (Snowflake, Oracle and SQL) 5 years of experience in designing data conformation ...
... analysis. Job Duties ... Design, develop, implement, and document advanced quantitative models and scenarios for time-series ...
... analysis. Job Duties ... Design, develop, implement, and document advanced quantitative models and scenarios for time-series ...
Advanced proficiency in Python - data manipulation (Pandas, NumPy), statistical analysis (SciPy, Statsmodels), and time-series analysis frameworks * SQL database management - querying, joining, and ...
Advanced proficiency in Python - data manipulation (Pandas, NumPy), statistical analysis (SciPy, Statsmodels), and time-series analysis frameworks * SQL database management - querying, joining, and ...
... analysis. Job Duties ... Design, develop, implement, and document advanced quantitative models and scenarios for time-series ...
... analysis. Job Duties ... Design, develop, implement, and document advanced quantitative models and scenarios for time-series ...
... analysis. Job Duties ... Design, develop, implement, and document advanced quantitative models and scenarios for time-series ...
... analysis. Job Duties ... Design, develop, implement, and document advanced quantitative models and scenarios for time-series ...
Scientific Data Analyst
Melbourne, FL · On-site
... time series data sets. The successful candidate must be able to understand waveform propagation and be able to apply it to conduct analysis of data sets. Demonstrated understanding of digital signal ...
Scientific Data Analyst
Melbourne, FL · On-site
... time series data sets. The successful candidate must be able to understand waveform propagation and be able to apply it to conduct analysis of data sets. Demonstrated understanding of digital signal ...
Scientific Data Analyst
Melbourne, FL · On-site
... time series data sets and all source analysis. The successful candidate must be able to understand waveform propagation, data fusion, and be able to apply it to conduct analysis of data sets.
Scientific Data Analyst
Melbourne, FL · On-site
... time series data sets and all source analysis. The successful candidate must be able to understand waveform propagation, data fusion, and be able to apply it to conduct analysis of data sets.
... time series data sets. The successful candidate must be able to understand waveform propagation and be able to apply it to conduct analysis of data sets. Demonstrated understanding of digital signal ...
... time series data sets. The successful candidate must be able to understand waveform propagation and be able to apply it to conduct analysis of data sets. Demonstrated understanding of digital signal ...
Data Strategy Lead
Newport Beach, CA · On-site
Your cross-team leadership will drive the development of scalable, reusable analytical frameworks - especially for financial time series analysis, while ensuring rigorous data quality and production ...
Data Strategy Lead
Newport Beach, CA · On-site
Your cross-team leadership will drive the development of scalable, reusable analytical frameworks - especially for financial time series analysis, while ensuring rigorous data quality and production ...
Data Scientist (Oil and Gas)
Houston, TX · On-site
... time-series analysis to high-frequency plant data (DCS, historian) Refining Domain Collaboration Partner with process engineers, operations, maintenance, and planning teams to translate refinery ...
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Data Scientist (Oil and Gas)
Houston, TX · On-site
... time-series analysis to high-frequency plant data (DCS, historian) Refining Domain Collaboration Partner with process engineers, operations, maintenance, and planning teams to translate refinery ...
Data Strategy Lead
Newport Beach, CA · On-site
Your cross-team leadership will drive the development of scalable, reusable analytical frameworks - especially for financial time series analysis, while ensuring rigorous data quality and production ...
Data Strategy Lead
Newport Beach, CA · On-site
Your cross-team leadership will drive the development of scalable, reusable analytical frameworks - especially for financial time series analysis, while ensuring rigorous data quality and production ...
Senior Data Scientist
Madison, WI · On-site
As a consequence you will apply and/or learn a wide variety of statistical techniques including time series analysis, high dimensional clustering, machine learning, data mining and Bayesian modeling.
Senior Data Scientist
Madison, WI · On-site
As a consequence you will apply and/or learn a wide variety of statistical techniques including time series analysis, high dimensional clustering, machine learning, data mining and Bayesian modeling.
Senior Data Scientist
Madison, WI · On-site
As a consequence you will apply and/or learn a wide variety of statistical techniques including time series analysis, high dimensional clustering, machine learning, data mining and Bayesian modeling.
Senior Data Scientist
Madison, WI · On-site
As a consequence you will apply and/or learn a wide variety of statistical techniques including time series analysis, high dimensional clustering, machine learning, data mining and Bayesian modeling.
Our research combines both experimental and theoretical approaches, spanning diverse domains in data science and AI, including large language models (LLMs) and foundation models, time series analysis ...
Our research combines both experimental and theoretical approaches, spanning diverse domains in data science and AI, including large language models (LLMs) and foundation models, time series analysis ...
Deep expertise in causal inference, high-dimensional regression, time-series analysis, and forecasting * Strong proficiency in Python or R (PyData stack: Pandas, NumPy, SciPy, Statsmodels, Scikit ...
Deep expertise in causal inference, high-dimensional regression, time-series analysis, and forecasting * Strong proficiency in Python or R (PyData stack: Pandas, NumPy, SciPy, Statsmodels, Scikit ...
Deep expertise in causal inference, high-dimensional regression, time-series analysis, and forecasting * Strong proficiency in Python or R (PyData stack: Pandas, NumPy, SciPy, Statsmodels, Scikit ...
Deep expertise in causal inference, high-dimensional regression, time-series analysis, and forecasting * Strong proficiency in Python or R (PyData stack: Pandas, NumPy, SciPy, Statsmodels, Scikit ...
Product Engineer 3
Tualatin, OR · On-site
Plan and execute research to advance sensor analytics, including image/video processing and time-series signal analysis for semiconductor equipment. * Develop algorithms and workflows for sensor ...
Product Engineer 3
Tualatin, OR · On-site
Plan and execute research to advance sensor analytics, including image/video processing and time-series signal analysis for semiconductor equipment. * Develop algorithms and workflows for sensor ...
Time Series Analysis information
See salary details
$40K - $49.3K
15% of jobs
$49.3K - $58.6K
10% of jobs
$59.4K is the 25th percentile. Wages below this are outliers.
$58.6K - $68K
6% of jobs
$68K - $77.3K
9% of jobs
$77.3K - $86.6K
5% of jobs
The median wage is $94.4K / yr.
$86.6K - $95.9K
6% of jobs
$95.9K - $105.2K
13% of jobs
$111.8K is the 75th percentile. Wages above this are outliers.
$105.2K - $114.5K
16% of jobs
$114.5K - $123.9K
11% of jobs
$123.9K - $133.2K
6% of jobs
$133.2K - $142.5K
3% of jobs
$40K
$92K
$142.5K
How much do time series analysis jobs pay per year?
As of Jul 8, 2026, the average yearly pay for time series analysis in the United States is $91,965.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $115,000.00 per year, depending on experience, location, and employer.
What is a Time Series Analysis job?
A Time Series Analysis job involves analyzing data points collected or recorded at specific time intervals to identify patterns, trends, and seasonal variations. Professionals in this role use statistical methods, machine learning models, and forecasting techniques to interpret historical data and make future predictions. Common applications include finance, economics, weather forecasting, and business performance analysis. Strong analytical skills, programming knowledge (e.g., Python, R), and experience with time series models like ARIMA or Prophet are typically required.
What are some common challenges faced in a Time Series Analysis role and how are they addressed?
Professionals in Time Series Analysis often encounter challenges such as handling missing or noisy data, accounting for seasonality and trends, and selecting the most appropriate modeling techniques for complex real-world problems. Addressing these challenges typically involves thorough data preprocessing, applying advanced statistical or machine learning models, and collaborating with domain experts to understand business contexts. Regularly updating models and validating forecasts also ensures accuracy and relevance. This dynamic environment helps analysts develop their expertise, adopt innovative solutions, and contribute significantly to data-driven decision-making within their organizations.
What are the key skills and qualifications needed to thrive in the Time Series Analysis position, and why are they important?
To excel in Time Series Analysis, you need a strong background in statistics, data analysis, and mathematics, often supported by a degree in statistics, economics, computer science, or a related field. Experience with programming languages such as Python or R, familiarity with statistical packages, and knowledge of specialized tools like ARIMA or machine learning libraries are highly beneficial. Attention to detail, problem-solving skills, and clear communication are important for effectively interpreting data and sharing insights with stakeholders. These competencies enable professionals to extract meaningful trends from complex datasets, inform strategic decisions, and provide valuable forecasts for businesses.
More about Time Series Analysis jobs
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What states have the most Time Series Analysis jobs? States with the most job openings for Time Series Analysis jobs include:
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Contractor
Re-posted 25 days ago
Job description
Role: Teradata ML Data Scientist with Clear Scape Analytics
Location: Scottsdale, AZ (REMOTE)
Job Type: Contract
Job Description:
Role Overview:
The Financial Forecasting Analytics Resource will utilize Teradata Clearscape capabilities to develop machine learning models that provide accurate forecasts to support key financial decisions. You will partner closely with business stakeholders to understand requirements and translate them into analytical solutions. An initial focus will be developing a machine learning model to forecast annual product renewal units at the individual product level.
The Senior Application Developer will:
Use the latest tools and techniques (.NET, C#, Agile Methodologies, Web Services, TSQL, SSIS)
Prepare software for deployment to production environments
Respond to and resolve questions and issues logged by users of a live system
Manage small projects independently and work as a team member on larger projects
Perform other related duties as required and assigned
Demonstrate behaviors which are aligned with the organization’s desired culture and values
Primary Responsibilities:
- Collaborate with finance leaders and business partners to understand forecasting challenges and requirements
- Leverage Teradata Clearscape platform to develop, test, and deploy machine learning models that provide accurate financial forecasts
- Start by building a forecasting model for annual product renewal units at the product level, demonstrating flexibility and adaptability of the platform
- Evaluate multiple modeling techniques including time series, regression, and neural networks to deliver the most accurate forecasts
- Monitor and enhance models over time to adapt to changing business conditions and improve predictive accuracy
- Package analytical solutions into easy-to-use tools and applications tailored to business user needs
- Clearly communicate analytical methodology, results, and insights to key stakeholders
- Conduct knowledge transfer sessions to educate internal engineering teams on model development and usage
- Thoroughly document modeling approach, code, and results to support knowledge transfer
Required Skills/Experience:
- 5+ years’ experience in advanced analytics and machine learning, specifically Teradata Clearscape
- Proficiency in Python, R, or other analytical programming languages
- Experience building, validating, and deploying machine learning models
- Knowledge of time series analysis and forecasting techniques
- Financial industry experience a plus
- Excellent communication and collaboration skills