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Time Series Analysis Jobs (NOW HIRING)

Ceribell, Inc

Data Scientist

Sunnyvale, CA · On-site

$184K - $210K/yr

Use time-series analysis, statistical signal processing and machine learning techniques to design classification algorithms for various neurological indications * Analyze data for trends and patterns ...

Ceribell, Inc

Data Scientist

Sunnyvale, CA · On-site

$184K - $210K/yr

Use time-series analysis, statistical signal processing and machine learning techniques to design classification algorithms for various neurological indications * Analyze data for trends and patterns ...

Koantek

Data Scientist

Chandler, AZ · On-site

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 ...

Koantek

Data Scientist

Chandler, AZ · On-site

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 ...

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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
What cities are hiring for Time Series Analysis jobs? Cities with the most 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 Time Series Analysis jobs? States with the most job openings for Time Series Analysis jobs include:
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Time Series Analysis jobs near you
Infographic showing various Time Series Analysis job openings in the United States as of July 2026, with employment types broken down into 82% Full Time, 6% Part Time, and 12% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $91,965 per year, or $44.2 per hour.

Data Scientist

Ceribell │ AI-Powered Point-of-Care EEG

Sunnyvale, CA • On-site

Full-time

Re-posted 20 days ago

Job description

Job Summary:
Ceribell is a medical technology company focused on transforming the diagnosis and management of patients with serious neurological conditions. The successful candidate will join the data science team and will be responsible for the design and development of new state-of-the-art classification algorithms for EEG neurodiagnostics.
Responsibilities:
• Use time-series analysis, statistical signal processing and machine learning techniques to design classification algorithms for various neurological indications
• Analyze data for trends and patterns, and interpret data with a clear objective in mind
• Collaborate with business and clinical stakeholders to define project needs and communicate results of the models/analytical solutions designed
• Select and implement appropriate evaluation metrics to assess the performance of algorithms and models, considering both technical accuracy and clinical relevance.
• Document and validate models and perform statistical analysis to comply with regulatory requirements for medical device algorithms
• Mentor and guide junior data scientists and interns, fostering their growth by providing technical direction, feedback, and support
• Manage multiple projects independently, effectively prioritizing tasks and aligning deliverables with key milestones to ensure timely and successful outcomes
• Stay updated with the latest advancements in machine learning and neurodiagnostics to ensure the algorithms are state-of-the-art
Qualifications:
Required:
• PhD in Electrical Engineering, Computer Science, Statistics, or equivalent disciplines
• 7+ years of relevant research and/or industry experience in signal processing, filtering, statistical data analysis, time-series analysis, pattern recognition, feature engineering, machine learning and algorithm development
• Proficient in Python and/or Matlab and/or R or similar programming languages
• Experience and interest in biological signal processing and algorithm development for biomedical applications
• Strong analytical skills, detail-oriented and collaborative
• Experience with large-scale datasets, including preprocessing, cleaning, and handling noisy or imbalanced data in a biomedical context
• Proven ability to work independently, define scope and manage complex technical projects from concept to deployment
• Experience with advanced machine learning techniques, such as deep learning architectures (e.g., CNNs, RNNs) and their application to time-series data
• Strong preference for experience in neurodiagnostics or EEG data processing and algorithm development
Company:
Ceribell is a medical technology company focused on transforming the diagnosis and management of patients with serious neurological conditions. Founded in 2014, the company is headquartered in Mountain View, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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