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Time Series Analysis Jobs in Florida (NOW HIRING)

Utilize time-series analysis (e.g., ARIMA, Exponential Smoothing) and machine learning models (Random Forest, Gradient Boosting, XGBoost) * Develop inventory optimization algorithms (linear ...

... 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 Scientist

Miami, FL

$102K - $128K/yr

  • Medical

  • Life

  • Retirement

Apply a variety of advanced analytical techniques including predictive modeling, machine learning, time series analysis, simulation, and optimization to address specific business challenges.

Data Scientist

Miami, FL

$102K - $128K/yr

  • Medical

  • Life

  • Retirement

Apply a variety of advanced analytical techniques including predictive modeling, machine learning, time series analysis, simulation, and optimization to address specific business challenges.

Data Scientist

Miami, FL

$102K - $128K/yr

  • Medical

  • Life

  • Retirement

Apply a variety of advanced analytical techniques including predictive modeling, machine learning, time series analysis, simulation, and optimization to address specific business challenges.

Data Scientist

Miami, FL

$102K - $128K/yr

  • Medical

  • Life

  • Retirement

Apply a variety of advanced analytical techniques including predictive modeling, machine learning, time series analysis, simulation, and optimization to address specific business challenges.

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

  • Medical

  • Life

  • Retirement

Apply a variety of advanced analytical techniques including predictive modeling, machine learning, time series analysis, simulation, and optimization to address specific business challenges.

Data Scientist

Miami, FL

$102K - $128K/yr

  • Medical

  • Life

  • Retirement

Apply a variety of advanced analytical techniques including predictive modeling, machine learning, time series analysis, simulation, and optimization to address specific business challenges.

Data Scientist

Miami, FL

$102K - $128K/yr

  • Medical

  • Life

  • Retirement

Apply a variety of advanced analytical techniques including predictive modeling, machine learning, time series analysis, simulation, and optimization to address specific business challenges.

Data Scientist

Miami, FL

$102K - $128K/yr

  • Medical

  • Life

  • Retirement

Apply a variety of advanced analytical techniques including predictive modeling, machine learning, time series analysis, simulation, and optimization to address specific business challenges.

Data Scientist

Miami, FL

$102K - $128K/yr

  • Medical

  • Life

  • Retirement

Apply a variety of advanced analytical techniques including predictive modeling, machine learning, time series analysis, simulation, and optimization to address specific business challenges.

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

  • Medical

  • Life

  • Retirement

Apply a variety of advanced analytical techniques including predictive modeling, machine learning, time series analysis, simulation, and optimization to address specific business challenges.

Data Scientist

Miami, FL

$102K - $128K/yr

  • Medical

  • Life

  • Retirement

Apply a variety of advanced analytical techniques including predictive modeling, machine learning, time series analysis, simulation, and optimization to address specific business challenges.

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

  • Medical

  • Life

  • Retirement

Apply a variety of advanced analytical techniques including predictive modeling, machine learning, time series analysis, simulation, and optimization to address specific business challenges.

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Showing results 1-20

Time Series Analysis information

See Florida salary details

$29.9K

$68.7K

$106.5K

How much do time series analysis jobs pay per year?

As of Aug 16, 2026, the average yearly pay for time series analysis in Florida is $68,725.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,300.00 and $85,900.00 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 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 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 the most commonly searched types of Time Series Analysis jobs in Florida?

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

Infographic showing various Time Series Analysis job openings in Florida as of August 2026, with employment types broken down into 92% Full Time, and 8% Nights. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $68,725 per year, or $33 per hour.

Information Technology_USA - USA_Business Development Manager

Real Soft, Inc.

Jacksonville, FL • On-site

Contractor

Re-posted 3 days ago


Job description

Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES B/T UNDERSCORES
/hr - flexible for quality profiles
PTN_US_GBAMSREQID_CandidateBeelineID
i.e. PTN_US_9999999_SKIPJOHNSON0413
MSP Owner: Shilpa Bajpai
Location: Irving, TX -100%ONSITE
Duration: 6 months
skill id: 10686150
Data Engineer- PySpark/Apache Flink
Skills: Digital : Python for Data Science~5G Wireless Networks
Experience Required: 8-10
Role Descriptions: Data Analysis Insight GenerationAnalyze large-scale wireless (RAN| Core) and IEN network alarm data from OSSNMS systems Identify patterns| trends| and recurring fault signatures across network domains Develop KPIs and dashboards to track network health and fault trendsMachine Learning ModelingBuild models for Alarm correlation and noise reductionRoot cause analysis (RCA)Anomaly detectionPredictive fault and failure forecastingApply supervised and unsupervised learning techniques (clustering| classification| time-series analysis) Data Engineering AutomationClean| normalize| and enrich alarm data from multiple sources Integrate data from OSS| EMS| NMS| CMDB| and performance systemsKey responsibilitiesData Analysis Insight GenerationAnalyze large-scale wireless (RAN| Core) and IEN network alarm data from OSSNMS systems Identify patterns| trends| and recurring fault signatures across network domains Develop KPIs and dashboards to track network health and fault trendsMachine Learning ModelingBuild models for Alarm correlation and noise reductionRoot cause analysis (RCA)Anomaly detectionPredictive fault and failure forecastingApply supervised and unsupervised learning techniques (clustering| classification| time-series analysis) Data Engineering AutomationClean| normalize| and enrich alarm data from multiple sources Integrate data from OSS| EMS| NMS| CMDB| and performance systems
Essential Skills: Data Analysis Insight GenerationAnalyze large-scale wireless (RAN| Core) and IEN network alarm data from OSSNMS systems Identify patterns| trends| and recurring fault signatures across network domains Develop KPIs and dashboards to track network health and fault trendsMachine Learning ModelingBuild models for Alarm correlation and noise reductionRoot cause analysis (RCA)Anomaly detectionPredictive fault and failure forecastingApply supervised and unsupervised learning techniques (clustering| classification| time-series analysis) Data Engineering AutomationClean| normalize| and enrich alarm data from multiple sources Integrate data from OSS| EMS| NMS| CMDB| and performance systemsKey responsibilitiesData Analysis Insight GenerationAnalyze large-scale wireless (RAN| Core) and IEN network alarm data from OSSNMS systems Identify patterns| trends| and recurring fault signatures across network domains Develop KPIs and dashboards to track network health and fault trendsMachine Learning ModelingBuild models for Alarm correlation and noise reductionRoot cause analysis (RCA)Anomaly detectionPredictive fault and failure forecastingApply supervised and unsupervised learning techniques (clustering| classification| time-series analysis) Data Engineering AutomationClean| normalize| and enrich alarm data from multiple sources Integrate data from OSS| EMS| NMS| CMDB| and performance systems
Desirable Skills:
Keyword:, Project Code :