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Remote Time Series Forecasting Jobs (NOW HIRING)

Elder Research

Data Analyst (Remote)

Experience with machine learning, with statistical modeling, time-series forecasting and/or ... Remote Work: in an industry of declining remote work opportunities. * People-Focused Culture: we ...

DataAnnotation

$60/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... classification, time-series forecasting). Fluency in English (native or bilingual level) with ...

Elder Research

Data Analyst (Remote)

Experience with machine learning, with statistical modeling, time-series forecasting and/or ... Remote Work: in an industry of declining remote work opportunities. * People-Focused Culture: we ...

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How much do remote time series forecasting jobs pay per hour?

As of May 30, 2026, the average hourly pay for remote time series forecasting in the United States is $36.10, according to ZipRecruiter salary data. Most workers in this role earn between $26.44 and $47.60 per hour, depending on experience, location, and employer.

What is the difference between Remote Time Series Forecasting vs Remote Data Analyst?

AspectRemote Time Series ForecastingRemote Data Analyst
Required CredentialsStatistics, Data Science, or related certificationsStatistics, Data Analysis, or related certifications
Work EnvironmentFocus on forecasting models, predictive analytics, and time-based dataData cleaning, visualization, reporting across various data types
Industry UsageFinance, Retail, Supply Chain, and any sector relying on time-dependent dataBroadly used across industries for data interpretation and reporting

Remote Time Series Forecasting specialists focus on predicting future data points using historical time-based data, often requiring expertise in statistical modeling. Remote Data Analysts interpret and visualize data to support decision-making across various data types. While both roles involve data skills, forecasting emphasizes predictive models for time series data, whereas data analysis covers broader data interpretation tasks.

More about Remote Time Series Forecasting jobs
What cities are hiring for Remote Time Series Forecasting jobs? Cities with the most Remote Time Series Forecasting job openings:
What are the most commonly searched types of Time Series Forecasting jobs? The most popular types of Time Series Forecasting jobs are:
What states have the most Remote Time Series Forecasting jobs? States with the most job openings for Remote Time Series Forecasting jobs include:
What job categories do people searching Remote Time Series Forecasting jobs look for? The top searched job categories for Remote Time Series Forecasting jobs are:
Remote Time Series Forecasting jobs near you
Infographic showing various Remote Time Series Forecasting job openings in the United States as of May 2026, with employment types broken down into 5% Internship, 28% As Needed, 41% Full Time, 5% Part Time, 20% Temporary, and 1% Contract. Highlights an 50% Physical, and 50% Hybrid job distribution, with an average salary of $75,091 per year, or $36.1 per hour.
Data Analyst (Remote)

Data Analyst (Remote)

Elder Research

Remote

Full-time

PTO

Posted 25 days ago

Job description

Job Title: Data Analyst
Work Location: Remote (preference for candidates located in the National Capital Region - DMV)
Clearance Required: TS or CBP BI or DHS Suitability (clearance adjudicated within the past 4 years)
Position Overview:
We are looking for an experienced Data Analyst to join our team supporting U.S. Customs and Border Protection. As a Data Analyst, you will support robust and repeatable data manipulation, large scale infrastructure for data ingestion, and stunning data visualization for custom client applications.
Role Responsibilities:
  • Responsible for data mining, data preparation, and reporting.
  • Prepare and conduct analyses and studies, needs/gaps assessments.
  • Applies knowledge to determine the accuracy and reasonableness of the data, recommendations, and solutions proposed.
  • Documents and summarizes the results and develops and recommended solutions to the customer's problems.
  • Prepares big data, implements data models developed by others, and provides database support for customer solutions.
  • Key member of a data science project team, supporting data scientists or other consultants in the performance of assigned tasks.

Requirements:
  • Four (4) years relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, operations research or other closely related other quantitative or mathematical discipline. At least two (2) years of experience applied data science research or big data analytics.
  • Bachelor's Degree in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related scientific or technical discipline A Master's degree may be substituted for up to two (2) years of relevant experience. A PhD may be substituted for experience.
  • Knowledge of data mining methods, databases, data visualization and machine learning.
  • Experience with analytic techniques such as Anomaly detection, Clustering, and Time-series (e.g., ARIMA)
  • Experience implementing NLP concepts including preprocessing (stemming, etc.), TF-IDF, Named Entity Recognition, and LLMs.
  • Ability to communicate analysis techniques, concepts, and products.
  • Ability to develop data-driven analysis and reports based on data visualizations and data models.
  • Strong SQL skills, and ability to identify issues with data.
  • Experience with Qlik.
  • Experience with Tableau.
  • Experience with PowerBI tools.
  • Familiarity with Databricks or similar cloud-based distributed database technologies
  • Understanding of database and database design
  • Demonstrated experience with cleaning, management, optimizing performance and processing large volumes of data.
  • Demonstrated experience within an AWS environment (AWS certifications preferred)
  • Familiarity with industry best-practices for software-hardware optimization when processing large sets of data.
  • Ability to travel to and work on site at clients as needed.
  • Excellent communication skills both verbal and written.

Preferred Experience and Skills:
  • Expertise with Qlik.
  • Experience with machine learning, with statistical modeling, time-series forecasting and/or geospatial analytics.
  • Experience with Hadoop, Spark or other parallel storage/computing processes.

Why apply to this position at Elder Research?
  1. Competitive Salary and Benefits
  2. Important Work / Make a Difference: supporting Customs and Border Protection in their efforts to protect the United States.
  3. Job Stability: Elder Research is not a typical government contractor, we hire you for a career not just a contract.
  4. Remote Work: in an industry of declining remote work opportunities.
  5. People-Focused Culture: we prioritize work-life-balance and provide a positive, supportive work environment as well as opportunities for professional growth and advancement.
  6. Company Stock Ownership: all employees are provided with shares of the company each year based on company value and profits.

About Elder Research, Inc
People Centered. Data Driven
Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately.
Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong team work.
Elder Research believes in continuous learning and community - each week the entire company attends a "Tech Talk" and each office location provides lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others and enjoy their lives.
Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Elder Research is a Government contractor and many of our positions require US Citizenship.

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