ZipRecruiter

Log In

1

Time Series Analysis Jobs (NOW HIRING)

LMI

Data Scientist

$90K - $150K/yr

Advanced experience in statistical analysis and time series modeling, including econometric techniques, seasonal regression, and other statistical models. * Demonstrated ability to think critically ...

Info Way Solutions

Timeseries Developer

Fremont, CA · On-site

The role involves designing and developing software solutions for time series data, enhancing existing systems, and implementing algorithms for analysis and detection. Responsibilities : • Design ...

Parisi Labs

$120 - $210/hr

Analyze whether model changes come from real signal, noise, data bugs, evaluation artifacts, or ... Research engineering, applied ML, time-series forecasting, scientific ML, optimization, evals, pre ...

Saviance

ML Architect - IoT & Digital Twin

$85K - $113K/yr

... linear time series analysis, and/or optimization. • Hands-on skills with Python (NumPy, SciPy). • Experience working in the Automotive industry, or in an IoT engineering space (aerospace ...

Ceribell, Inc

Senior/Staff Data Scientist

San Jose, CA · On-site

$184K - $200K/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

Senior/Staff Data Scientist

Sunnyvale, CA · On-site

$184K - $200K/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

Senior/Staff Data Scientist

San Francisco, CA · On-site

$184K - $200K/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 ...

Hp

Print Supplies Big Data Analyst

Vancouver, WA · On-site

$105K - $161K/yr

... time-series analysis, reproducible workflows, and tooling to support recurring quality checks and investigations SQL , including complex joins, CTEs, window functions, query performance optimization ...

Rapidtrade

Senior Machine Learning Engineer

Manhattan, NY · On-site

$200 - $250/hr

Experience with time-series analysis and forecasting * Familiarity with distributed computing (Spark, Ray, or similar) * MS or PhD in Computer Science, Machine Learning, or related field * Track ...

previous pagenext page

Showing results 21-40

All JobsTime Series Analysis Jobs

Time Series Analysis information

See salary details

$40K

$92K

$142.5K

How much do time series analysis jobs pay per year?

As of Sep 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?

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.
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:

What job categories do people searching Time Series Analysis jobs look for?

The top searched job categories for Time Series Analysis jobs are:

Time Series Analysis jobs near you
Infographic showing various Time Series Analysis job openings in the United States as of August 2026, with employment types broken down into 62% Full Time, 13% Part Time, and 25% Contract. Highlights an 87% In-person, and 13% Hybrid job distribution, with an average salary of $91,965 per year, or $44.2 per hour.

Data Scientist

LMI

Remote

$90K - $150K/yr

Full-time

Posted 28 days ago

Job description

Overview
We are seeking a Senior-level Data Scientist with a strong background in statistical and econometric analysis to support our passport demand forecasting activities with the Department of State Passport Bureau (CA/PPT). This role will play a critical part in developing, testing, and refining models used to forecast multiple forms of passport demand across the organization. The ideal candidate combines rigorous analytical thinking with creativity, technical curiosity, and sound judgment.
LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.
Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.
Responsibilities
  • Design, develop, evaluate, and actively monitor statistical and time series models (including econometric approaches) for accurately forecasting demand 23-36 months into the future.
  • Rapidly prototype and iterate on new models, methodologies, and analytical libraries that rely on cutting edge statistical and other tools. Assess their strengths and limitations.
  • Critically evaluate data sources, modeling assumptions, and results, identifying risks, biases, and sources of uncertainty.
  • Actively monitor US passport demand; survey results; policy developments; travel, economic, geopolitical, and other trends; and creatively explore means of using these data to forecast impacts on passport demand.
  • Translate complex analytical findings into clear, actionable insights for technical and non-technical stakeholders.
  • Work independently to explore novel approaches while applying healthy skepticism and methodological discipline.
  • Stay current with emerging technologies, tools, and best practices in forecasting, statistics, and data science.
  • Explore customer needs and help identify ways to add value.

Qualifications
Required Qualifications
  • Advanced degree (PhD or Masters) from an accredited college or university in a data-related field of study.
  • Ability to communicate well with senior leadership, peers, and staff at all levels to facilitate excellent teamwork.
  • Advanced experience in statistical analysis and time series modeling, including econometric techniques, seasonal regression, and other statistical models.
  • Demonstrated ability to think critically about models, data, and assumptions rather than relying on off-the-shelf solutions.
  • Strong problem-solving skills and comfort working in ambiguous or evolving problem spaces.
  • Ability to learn new tools, frameworks, and technologies quickly and apply them effectively.
  • Proven track record of independent work and ownership of analytical projects.
Desired Attributes
  • Creative and innovative mindset, balanced by risk awareness and analytical rigor.
  • Willingness to challenge existing approaches and push boundaries while maintaining methodological soundness.
  • Curiosity-driven learner with a pragmatic approach to adopting new technologies.
  • Comfortable iterating quickly, testing ideas, and discarding approaches that do not meet standards.
  • Experience in Python statistics and machine learning framework and libraries, including statsmodels, pandas, numpy, xgboost, scipy, matplotlib.
  • Experience working with STATA.
  • Experience applying statistical methods (time series analysis) including autoregressive integrated moving average (ARIMA) and vector autoregression (VAR).
  • Experience applying machine-learning models to time series analysis in data-poor environments.
  • Experience applying Bayesian statistical models to time series analysis.
  • Experience leveraging cloud environments for data science tasks, specifically using serverless technologies in the AWS cloud.

The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.
The salary range for this position is $90,000-$150,000
Job Locations
US-Remote

Apply