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Part Time Time Series Forecasting Jobs (NOW HIRING)

Foth

Hydrogeologist/Hydrologist

Duluth, MN · On-site

... time-series forecasting for hydrologic and hydrogeologic systems * Experience integrating ... Eligible full-time and part-time members will be offered medical, dental, vision insurance ...

Foth

Hydrogeologist/Hydrologist

Green Bay, WI · On-site

... time-series forecasting for hydrologic and hydrogeologic systems * Experience integrating ... Eligible full-time and part-time members will be offered medical, dental, vision insurance ...

Foth

Hydrogeologist/Hydrologist

Madison, WI · On-site

... time-series forecasting for hydrologic and hydrogeologic systems * Experience integrating ... Eligible full-time and part-time members will be offered medical, dental, vision insurance ...

Foth

Hydrogeologist/Hydrologist

Minneapolis, MN

... time-series forecasting for hydrologic and hydrogeologic systems * Experience integrating ... Eligible full-time and part-time members will be offered medical, dental, vision insurance ...

Nokia

Data Analytics & AI Co-op

Coppell, TX · On-site

Strong analytical foundation (statistics, time-series analysis, or basic machine learning concepts ... Cost forecasting or financial planning (e.g., variance analysis, scenario modeling, driver-based ...

Varsity Tutors

Business Statistics Tutor

Akron, OH · Remote

$18 - $40/hr

... 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 ...

Varsity Tutors

Business Statistics Tutor

Sugar Land, TX · Remote

$18 - $40/hr

... 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 ...

Varsity Tutors

Business Statistics Tutor

Sandy Springs, GA · Remote

$18 - $40/hr

... 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 ...

Varsity Tutors

Business Statistics Tutor

Greensboro, NC · Remote

$18 - $40/hr

... 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 ...

Varsity Tutors

Business Statistics Tutor

Louisville, KY · Remote

$18 - $40/hr

... 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 ...

Varsity Tutors

Business Statistics Tutor

Clifton, NJ · Remote

$18 - $40/hr

... 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 ...

Varsity Tutors

Business Statistics Tutor

Hartford, CT · Remote

$18 - $40/hr

... 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 ...

Varsity Tutors

Business Statistics Tutor

Lincoln, NE · Remote

$18 - $40/hr

... 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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Part Time Time Series Forecasting information

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$51.5K

$69.7K

$98K

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

As of Sep 1, 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 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 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 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 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

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Part Time Time Series Forecasting jobs near you
Infographic showing various Part Time Time Series Forecasting job openings in the United States as of August 2026, with employment types broken down into 95% Full Time, 4% Part Time, and 1% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $69,664 per year, or $33.5 per hour.

Adjunct Instructor in Time Series Forecasting and Operational Analytics

Brandeis University

Brandeis, CA

$6.5K/mo

Part-time

Re-posted 24 days ago

Job description

Brandeis University's Online Applied Data Science and Decision Analytics Program is seeking an Adjunct Faculty member for RADS 135 Time Series Forecasting and Operational Analytics for the Fall-2 2026 session. This 3-credit asynchronous online course is an 8-week requirement for the Master of Science in Applied Data Science and Decision Analytics.

This course will cover predictive modeling and forecasting under uncertainty, including ARIMA, Prophet, and deep learning approaches for sustainable operations.

Core Course Responsibilities Summary

  • Course Logistics and Facilitation: Focuses on the organized and timely rollout of course content, maintaining consistent communication through weekly announcements, and ensuring all instructional activities occur within university-approved digital platforms.

  • Instructor Presence and Engagement: Centers on building an active teaching persona by hosting live introductory sessions, facilitating weekly academic discourse in forums, and maintaining regular availability for student consultation.

  • Individual Feedback and Grading: Emphasizes the professional obligation to provide transparent, rubric-based evaluations and supportive commentary on student work within a standardized weekly timeframe.

  • Professional Conduct and Standards: Requires adherence to university communication protocols, the promotion of respectful online "netiquette," and ensuring the course meets accessibility and technical visibility standards before and during the term.

Qualifications:

  • Required:

    • Advanced degree (Masters or Ph.D) in Statistics, Operational Research, Data Science or a related field.

    • Professional experience applying forecasting methods to operational demands, planning, or in sustainability contexts.

    • Expertise in time series analysis and forecasting under uncertainty, including ARMIA and modern machine learning approach.

    • At least 1 year of teaching or training experience (preferably online/asynchronous)

    • Experience with online instruction

    • Excellent communication and teaching skills in an online learning environment.

  • Preferred:

    • Prior online teaching experience at the graduate level

    • Knowledge of global learner personas and culturally responsive pedagogy

    • Familiarity with Moodle LMS and digital authoring tools (e.g., H5P)

Interested candidates should submit:

A cover letter highlighting relevant qualifications and teaching experience.

A current CV or resume.

Contact information for three professional references.

Application review begins June 1, 2026 though we will continue to accept submissions on an ongoing basis.

This appointment is to a position that is in a collective bargaining unit represented by SEIU Local 509.

Compensation for this positon is: $6573.15

Pay Range Disclosure

The University's pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements.

Equal Opportunity Statement

Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class").

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