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Remote Time Series Forecasting Jobs (NOW HIRING)

Data Scientist

Dearborn, MI · On-site +1

$66K - $186K/yr

... time-series forecasting and causal inference testing. 3. Applying ANOVA, Bayesian statistical analysis, regression principles, and statistical techniques for data analysis. 4. Developing and managing ...

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 ...

AI Engineer

Austin, TX · On-site +1

$140K - $200K/yr

Remote (United States) Compensation: $140,000 - $200,000 base Visa Sponsorship: None available ... Proficiency with gradient-boosted trees (XGBoost, LightGBM), time-series forecasting, and deep ...

AI Engineer

$117K - $140K/yr

... time-series forecasting, and deep learning frameworks • Experience with automated feature engineering and hyperparameter tuning (Optuna, Ray Tune) • Familiarity with Spark or Dask for large-scale ...

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 ...

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Remote Time Series Forecasting information

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$12

$36

$58

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

As of Jul 21, 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:
Infographic showing various Remote Time Series Forecasting job openings in the United States as of July 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $75,091 per year, or $36.1 per hour.
Data Scientist

Data Scientist

Ford Motor Company

Dearborn, MI • On-site, Remote

$66K - $186K/yr

Full-time

Medical, Dental, Life, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow's transportation.

Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics, and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making.

You'll have...

Bachelor's degree or foreign equivalent in Computer Science, Data Science or a related field and 6 months of experience in the job offered or a related occupation.   6 months of experience with each of the following skills is required: 1. Utilizing programming languages including Python or R for data analysis and model development. 2. Communicating complex statistical and technical topics and data-driven insights effectively to non-technical users.  Education and/or experience must include:  1. Utilizing SQL for data processing and analysis, including extracting, cleaning, and transforming data in large, complex databases. 2. Extracting actionable insights from data by designing and developing machine-learning-driven predictive models, including time-series forecasting and causal inference testing. 3. Applying ANOVA, Bayesian statistical analysis, regression principles, and statistical techniques for data analysis. 4. Developing and managing data visualizations and dashboards using tools including Python libraries Matplotlib and Seaborn.

We are offering a salary of $66,102.00 - $186,624.00/yr. 

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all the above? No matter what you choose, we offer a work life that works for you, including:

Immediate medical, dental, and prescription drug coverage
Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more
Vehicle discount program for employees and family members, and management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
A generous schedule of paid holidays, including the week between Christmas and New Year's Day
Paid time off and the option to purchase additional vacation time

For a detailed look at our benefits, click here:

https://fordcareers.co/GSR-HTHD

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

#LI-DNI

#DNP

Bachelor's degree or foreign equivalent in Computer Science, Data Science or a related field and 6 months of experience in the job offered or a related occupation.   6 months of experience with each of the following skills is required: 1. Utilizing programming languages including Python or R for data analysis and model development. 2. Communicating complex statistical and technical topics and data-driven insights effectively to non-technical users.  Education and/or experience must include:  1. Utilizing SQL for data processing and analysis, including extracting, cleaning, and transforming data in large, complex databases. 2. Extracting actionable insights from data by designing and developing machine-learning-driven predictive models, including time-series forecasting and causal inference testing. 3. Applying ANOVA, Bayesian statistical analysis, regression principles, and statistical techniques for data analysis. 4. Developing and managing data visualizations and dashboards using tools including Python libraries Matplotlib and Seaborn.

We are offering a salary of $66,102.00 - $186,624.00/yr. EOE.

This Job Notice is posted as a result of the filing of an application for permanent alien labor certification for the relevant job opportunity. Any person may provide documentary evidence bearing on the application to the Certifying Officer at the U.S. Department of Labor, Employment and Training Administration, Office of Foreign Labor Certification, 200 Constitution Avenue NW, Room N-5311, Washington, DC 20210.

Note, this is a hybrid position whereby the employee will work both from home and from the aforementioned worksite. Hence, the employee must live within a reasonable commuting distance from the worksite.  Drive improvements in Ford's supply chain operations through big data analysis and modeling. Develop innovative tools that translate complex data into actionable insights for key stakeholders. Leverage cutting-edge technologies to support more informed decision-making. Leverage advanced data analytics and the latest tools to solve complex business problems, improve operational efficiency, and make data-driven decisions that impact the future of the company. Extract actionable insights from data. Extract, clean, and transform data in large, complex, nested databases. Utilize programming languages in a cloud platform. Perform research, analysis, data science and solution development. Execute digital transformation projects to improve supply chain operations. Deliver tangible value for customers and stakeholders through data-driven insights and solutions.

What you'll be able to do:

Data Scientist - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this is a hybrid position whereby the employee will work both from home and from the aforementioned worksite. Hence, the employee must live within a reasonable commuting distance from the worksite.  Drive improvements in Ford's supply chain operations through big data analysis and modeling. Develop innovative tools that translate complex data into actionable insights for key stakeholders. Leverage cutting-edge technologies to support more informed decision-making. Leverage advanced data analytics and the latest tools to solve complex business problems, improve operational efficiency, and make data-driven decisions that impact the future of the company. Extract actionable insights from data. Extract, clean, and transform data in large, complex, nested databases. Utilize programming languages in a cloud platform. Perform research, analysis, data science and solution development. Execute digital transformation projects to improve supply chain operations. Deliver tangible value for customers and stakeholders through data-driven insights and solutions. 


Ford logo

About Ford

Sourced by ZipRecruiter

At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.

Industry

Civil engineering construction

Company size

51 - 200 Employees

Headquarters location

Doral, FL, US

Year founded

1982