2

Remote Time Series Forecasting Jobs (NOW HIRING)

Quantitative modeling including machine learning models, time-series forecasting, or causal impact ... Unless approved for full remote work, employees must spend at least 50% of their time in-office.

The ideal candidate combines strong technical depth in time-series and predictive modeling with the ... Remote first work from home culture * Flexible Time Off to help you rest, recharge, and connect ...

This position is fully remote. Duties & Responsibilities The Data Scientist will: * Build machine ... time-series forecasting. * Experience designing experiments, running statistical analyses, and ...

The ideal candidate has deep experience with time series forecasting, experimentation design, and ... Employees approved for remote work must perform their duties from a single, company-approved based ...

AI/ML Data Engineer

$117K - $140K/yr

... time-series forecasting, demand planning, revenue forecasting, inventory optimization, or operational prediction models is strongly preferred. Primary Technologies Databricks, Spark, SQL, Python ...

... modeling, time series forecasting, model evaluation, and model monitoring & retraining ... Job Locations US-Remote US-VA-Tysons

Showing results 21-40

Remote Time Series Forecasting information

See salary details

$12

$36

$58

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

As of Aug 11, 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:
Infographic showing various Remote Time Series Forecasting job openings in the United States as of August 2026, with employment types broken down into 50% Internship, and 50% Full Time. Highlights an 100% Remote job distribution, with an average salary of $75,091 per year, or $36.1 per hour.

Scientist II, Tech

Uber Technologies, Inc.

New York, NY • On-site, Remote

Full-time

Posted 11 days ago


Uber rating

6.8

Company rating: 6.8 out of 10

Based on 113 frontline employees who took The Breakroom Quiz

4th of 9 rated taxi private hire


Job description

About the role and team 

Working in Science at Uber means solving complex, real-world problems that don't always have a textbook solution. You will be part of a team that turns massive amounts of data into actionable insights, influencing everything from marketplace efficiency to user experience. In this role, you'll be a technical "detective," unpicking data-driven puzzles in a high-stakes, fast-moving environment. You'll thrive here if you stay calm under pressure, embrace the "messy" reality of imperfect datasets, and have the grit to move projects from hypothesis to production.

This is a role for an owner who is energized by the challenge of building at scale. You will navigate the ambiguity of shifting priorities and internal complexity, ensuring that our data-driven products are robust, reliable, and grounded in sound statistical principles. If you're sharp, steady, and motivated by meaningful impact at global scale this is where you'll grow.
Rate of Pay:                 $161,000 to $197,000 per Year
You will be eligible to participate in Uber's bonus program, and may be offered other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits. 
What you'll do 

  • Leverage data to perform intensive analysis across all areas of business to drive product development. 
  • Design experiments and analyze results to draw conclusions. 
  • Perform time-series analyses to statistically assess relative impact and extract trends. 
  • Build models to enhance understanding of user behavior and predict future performance of cohorts. 
  • Create dashboards and reports to regularly communicate results and monitor key metrics. 
  • Extract data from warehouse, back-test the model, and compare the model performance and communicate the results. 
  • Develop end-to-end solutions to abstract business and engineering problems related to funnel optimization, user engagement, and user experience. 
  • May telecommute.
     

Basic Qualifications 

  • Employer will accept a Bachelor's degree in Engineering (any), Information Technology, Information Management, Information Systems, Mathematics, Statistics, Economics, or related field and 1 year of experience in the job offered or in a related occupation.
  • Position requires:
    • R or Python;
    • Database query languages: SQL;
    • Experimentation techniques including simulation or A/B testing;
      • Statistical analysis including descriptive statistics, correlation, regression, or confidence intervals;
        Developing relevant metrics;
    • KPIs to measure performance by teams using SQL, R, or Python;
    • Quantitative modeling including machine learning models, time-series forecasting, or causal impact analyses;
    • Data visualization and dashboarding: R, Python or Tableau.

Ready to Ride?


This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you.


You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.


Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.


Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.


What Uber employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom