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Part Time Time Series Forecasting Jobs (NOW HIRING)

... time series, index numbers, and quality control charts. Ability to explain statistical decision-making, correlation versus causation, and forecasting models while preparing students for data-driven ...

... time series, index numbers, and quality control charts. Ability to explain statistical decision-making, correlation versus causation, and forecasting models while preparing students for data-driven ...

... time series, index numbers, and quality control charts. Ability to explain statistical decision-making, correlation versus causation, and forecasting models while preparing students for data-driven ...

... time series, index numbers, and quality control charts. Ability to explain statistical decision-making, correlation versus causation, and forecasting models while preparing students for data-driven ...

... time series, index numbers, and quality control charts. Ability to explain statistical decision-making, correlation versus causation, and forecasting models while preparing students for data-driven ...

... time series, index numbers, and quality control charts. Ability to explain statistical decision-making, correlation versus causation, and forecasting models while preparing students for data-driven ...

... time series, index numbers, and quality control charts. Ability to explain statistical decision-making, correlation versus causation, and forecasting models while preparing students for data-driven ...

... time series, index numbers, and quality control charts. Ability to explain statistical decision-making, correlation versus causation, and forecasting models while preparing students for data-driven ...

... time series, index numbers, and quality control charts. Ability to explain statistical decision-making, correlation versus causation, and forecasting models while preparing students for data-driven ...

... time series, index numbers, and quality control charts. Ability to explain statistical decision-making, correlation versus causation, and forecasting models while preparing students for data-driven ...

... time series, index numbers, and quality control charts. Ability to explain statistical decision-making, correlation versus causation, and forecasting models while preparing students for data-driven ...

... time series, index numbers, and quality control charts. Ability to explain statistical decision-making, correlation versus causation, and forecasting models while preparing students for data-driven ...

... time series, index numbers, and quality control charts. Ability to explain statistical decision-making, correlation versus causation, and forecasting models while preparing students for data-driven ...

... time series, index numbers, and quality control charts. Ability to explain statistical decision-making, correlation versus causation, and forecasting models while preparing students for data-driven ...

... time series, index numbers, and quality control charts. Ability to explain statistical decision-making, correlation versus causation, and forecasting models while preparing students for data-driven ...

... time series, index numbers, and quality control charts. Ability to explain statistical decision-making, correlation versus causation, and forecasting models while preparing students for data-driven ...

... time series, index numbers, and quality control charts. Ability to explain statistical decision-making, correlation versus causation, and forecasting models while preparing students for data-driven ...

... time series, index numbers, and quality control charts. Ability to explain statistical decision-making, correlation versus causation, and forecasting models while preparing students for data-driven ...

... time series, index numbers, and quality control charts. Ability to explain statistical decision-making, correlation versus causation, and forecasting models while preparing students for data-driven ...

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Showing results 1-20

Part Time Time Series Forecasting information

See salary details

$51.5K

$69.7K

$98K

How much do part time time series forecasting jobs pay per year?

As of May 31, 2026, the average yearly pay for part time time series forecasting in the United States is $69,664.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $74,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Part-Time Time Series Forecaster, and why are they important?

To thrive as a Part-Time Time Series Forecaster, you need a strong background in statistics, data analysis, and predictive modeling, typically supported by a degree in mathematics, statistics, or a related field. Proficiency with tools like Python, R, and specialized forecasting libraries (such as Prophet, ARIMA, or TensorFlow) is essential, and experience with data visualization platforms is often expected. Strong problem-solving abilities, attention to detail, and effective communication skills enable clear interpretation and presentation of forecasting results. These skills are crucial for delivering accurate, actionable insights that support data-driven business decisions in a flexible, part-time capacity.

What are some common challenges faced by part-time professionals working in time series forecasting roles?

Part-time time series forecasting professionals often navigate challenges such as managing tight project deadlines with limited working hours and ensuring continuity on long-term data analysis projects. Effective communication with full-time team members is crucial to stay aligned on model updates and data changes. Additionally, staying up-to-date with evolving forecasting techniques and software tools can require proactive time management. However, many organizations support flexible schedules and remote collaboration to help part-time staff integrate smoothly.

What is a part-time time series forecasting job?

A part-time time series forecasting job involves analyzing data that has been collected over time to predict future trends, patterns, or values, but on a part-time basis. Professionals in this role use statistical models and machine learning techniques to forecast data points such as sales, demand, stock prices, or weather. Working part-time means the position typically requires fewer hours per week than a full-time job, making it suitable for those seeking flexibility or balancing other commitments. Tasks may include data collection, model development, validation, and communicating insights to stakeholders. The job often requires proficiency in statistical software and programming languages like Python or R.

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

AspectPart Time Time Series ForecastingPart Time Data Analyst
Required CredentialsStatistics, data analysis, forecasting toolsStatistics, data analysis, Excel, SQL
Work EnvironmentRemote or flexible, focused on forecasting modelsOffice or remote, broader data analysis tasks
Industry UsageFinance, retail, supply chainMarketing, finance, healthcare
Search & Comparison IntentForecasting, time series modelingData analysis, reporting

Part Time Time Series Forecasting specializes in creating models to predict future data points based on historical data, often requiring expertise in statistical modeling and forecasting tools. In contrast, Part Time Data Analysts handle a broader range of data tasks, including cleaning, analyzing, and visualizing data across various industries. While both roles require analytical skills, Time Series Forecasting is more focused on predictive modeling, whereas Data Analysts focus on interpreting data to inform decisions.

More about Part Time Time Series Forecasting jobs
What are the most commonly searched types of Time Series Forecasting jobs? The most popular types of Time Series Forecasting jobs are:
Infographic showing various Part Time Time Series Forecasting job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 72% Full Time, and 27% Part Time. Highlights an 29% Physical, 14% Hybrid, and 57% Remote job distribution, with an average salary of $69,664 per year, or $33.5 per hour.
Business Statistics Tutor

Business Statistics Tutor

Varsity Tutors

Detroit, MI • Remote

$40/hr

Part-time

Posted 27 days ago


Varsity Tutors rating

5.7

Company rating: 5.7 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

13th of 21 rated private schools and tutoring


Job description

About the Job
The Varsity Tutors Live Learning Platform has thousands of students looking for online Business Statistics tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the flexibility to set your own schedule, earn competitive rates, and make a real impact on students' academic success and understanding. All from the comfort of your home.
Why Join Our Platform?
  • Earn incrementally higher pay for each session with the same student, reaching up to $40/hour.
  • Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions you conduct and invoice.
  • Set your own hours and tutor as much as you'd like.
  • Tutor remotely using our purpose-built Live Learning Platform. No commuting required.
  • Get matched with students best-suited to your teaching style and expertise.
  • Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson generation, and engagement features, helping you save prep time and focus on impactful teaching.
  • We handle the logistics—you just invoice for your tutoring sessions, and we take care of payments.

What We Look For In a Business Statistics Tutor
  • Advanced Subject Mastery: Deep knowledge of descriptive statistics, probability distributions, sampling methods, confidence intervals, hypothesis testing, chi-square tests, regression analysis, time series, index numbers, and quality control charts. Ability to explain statistical decision-making, correlation versus causation, and forecasting models while preparing students for data-driven business strategy and MBA quantitative coursework.
  • Conceptual Teaching & Problem-Solving: Skilled at breaking down hypothesis test procedures, regression interpretation, and sampling design for business contexts. Guides students through analyzing survey data, constructing control charts, performing demand forecasting, and interpreting Excel or SPSS output. Emphasizes practical business applications and connects statistics to marketing research, operations management, and financial risk analysis.
  • Curriculum Awareness & Adaptive Instruction: Familiar with business statistics curricula and common challenges such as selecting the correct hypothesis test, interpreting p-values in business decisions, and constructing regression models. Adapts instruction using spreadsheet tools, business case studies, and real company data sets to support undergraduate business majors and MBA students with varying quantitative backgrounds.
  • Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet individual learning needs and styles.
  • Strong communication skills and a friendly, engaging teaching style.
  • Ability to adapt to different learning styles and student needs.

Ways To Connect With Students
  • 1-on-1 Online Tutoring - Provide personalized instruction to individual students.
  • Instant Tutoring - Accept on-demand tutoring requests whenever you're available.

About Varsity Tutors And 1-on-1 Online Tutoring
Our mission is to transform the way people learn by leveraging advanced technology, AI, and the latest in learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students receive customized instruction that helps them achieve their learning goals. Our platform is designed to match students with the right tutors, fostering better outcomes and a passion for learning.
Please note: Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West Virginia or Puerto Rico.

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