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Time Series Analysis Jobs in Washington (NOW HIRING)

... time-series analysis • Expertise in optimization algorithms Company : With headquarters in Maryland, Cymertek [/'sī-mer-tek/] Corporation provides superior consulting services for the ...

... time-series analysis • Expertise in optimization algorithms Company : With headquarters in Maryland, Cymertek [/'sī-mer-tek/] Corporation provides superior consulting services for the ...

... time series analysis. Candidates must have hand-on experience with supervised (classification, regression) and unsupervised learning (clustering, dimension reduction). The Senior Data Scientist must ...

... time series analysis. Candidates must have hand-on experience with supervised (classification, regression) and unsupervised learning (clustering, dimension reduction). The Senior Data Scientist must ...

... time series analysis. Candidates must have hand-on experience with supervised (classification, regression) and unsupervised learning (clustering, dimension reduction). The Senior Data Scientist must ...

ETL Developer

Rockville, MD · On-site

$52.75 - $69/hr

... time-series analysis, and forecasting * Be an evangelist for all things Big Data and Digital Qualifications: * Bachelor's Degree in Computer Science, Mathematics, Engineering or Statistics. Master ...

AI Engineer III - Blue Ring

Reston, VA

$59.75 - $80.25/hr

Support on-call rotations and drive root-cause analysis for production issues Model Development (Post-training and Time-series Analysis) * Develop anomaly detection models that identify telemetry ...

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Time Series Analysis information

See Washington salary details

$45.3K

$104.2K

$161.4K

How much do time series analysis jobs pay per year?

As of Aug 22, 2026, the average yearly pay for time series analysis in Washington is $104,159.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,200.00 and $130,200.00 per year, depending on experience, location, and employer.

What is a time series analysis?

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 the key skills and qualifications needed to thrive in time series analysis?

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.

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 jobs use time series analysis?

Time series analysis is used in various roles such as data analysts, financial analysts, economists, and data scientists. These jobs involve analyzing sequential data to forecast trends, detect anomalies, or inform decision-making, often using tools like Python, R, or specialized software. Professionals in these roles typically require strong statistical skills and experience with data visualization and modeling.

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

The most popular types of Time Series Analysis jobs in Washington are:

What are popular job titles related to Time Series Analysis jobs in Washington?

For Time Series Analysis jobs in Washington, the most frequently searched job titles are:

What cities in Washington are hiring for Time Series Analysis jobs?

Cities in Washington with the most Time Series Analysis job openings:

Infographic showing various Time Series Analysis job openings in Washington as of August 2026, with employment types broken down into 81% Full Time, 10% Part Time, 2% Temporary, and 7% Contract. Highlights an 76% Physical, 5% Hybrid, and 19% Remote job distribution, with an average salary of $104,159 per year, or $50.1 per hour.

$18 - $34/hr

Full-time

Posted 2 days ago

New


Job description

Research Fellowships: The Consortium Research Fellows Program has multiple fellowships available with the U.S. Army Research Institute for the Behavioral and Social Sciences (ARI). These fellowships are for graduate students enrolled in psychology and other related behavioral science programs.
Location: Fort Belvoir
Wage: The hourly wage ranges from $18.00 to $34.00 and is determined by the graduate student's academic standing and program of study. Graduate students interested in these fellowships will be expected to work up to but no more than 20-30 hours per week and have the option of working 40 hours per week during the summer.
Research Support: The student Research Fellow will support ARI's research program and will be assigned to one or more research topic areas. The student will engage in data collection, longitudinal research design, survey development, survey administration, quantitative and qualitative data analyses, conference preparation, and technical report writing.
Qualifications:
Graduate students with knowledge and interests in one or more of the following areas are encouraged to apply:
  • Knowledge of data management and data analysis techniques
  • Experience and skill performing literature review
  • Interest in personnel selection and assignment, talent management, or longitudinal research
  • Proficiency with time series analysis
  • Working knowledge of SPSS
  • Working knowledge of Microsoft Office programs (i.e., Word, Excel, and PowerPoint)
  • Good oral/written communication skills
  • Good teamwork skills
  • Attention to detail

Candidates enrolled in an Industrial-Organizational (IO) Psychology program are particularly encouraged to apply. IO psychology graduate students will gain applied research experience with the following:
  • Working with very large data sets
  • Applying experience with psychometrics
  • Conducting time series analyses
  • Providing empirically-based solutions to military assessment and selection problems