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Part Time Time Series Forecasting Jobs (NOW HIRING)

TripleTen

$40 - $150/hr

... time series forecasting, and numerical methods - applied to real business problems. Who are we ... You can join us on a part-time basis (~10-15h/week), contributing as an instructor leading live ...

Walmart

Staff, Data Scientist

Bentonville, AR

Champion lead for the efforts on forecasting, developing time series forecasting models to provide ... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ...

SoFi

Staff Data Scientist

San Francisco, CA · On-site +1

$250.08K - $275.09K/yr

... Part time telecommuting is an option. Hybrid work from Sofi offices in San Francisco, CA ... Time Series Forecasting; (4.) ETL Pipelines; (5.) AWS (Sagemaker, S3, EMR); (6.) Advanced ...

Varsity Tutors

Business Statistics Tutor

Charlotte, NC · Remote

$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

Minneapolis, MN · Remote

$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

Bryan, TX · Remote

$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 May 30, 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:
What job categories do people searching Part Time Time Series Forecasting jobs look for? The top searched job categories for Part Time Time Series Forecasting jobs are:
Part Time Time Series Forecasting jobs near you
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.
Temporary Online Course Developer -Time Series Forecasting and Operational Analytics

Temporary Online Course Developer -Time Series Forecasting and Operational Analytics

Brandeis University

Waltham, MA • On-site

$3K/wk

Part-time

Posted 4 days ago

Job description

Online Course Developer - Time Series Forecasting and Operational Analytics
Location: Remote (U.S.-based only)
Division: Rabb School of Continuing Studies, Brandeis University
Compensation: $3,000.00 (Approx. 65 hours over 12 weeks)
Brandeis University's Rabb School of Continuing Studies is seeking a skilled online course developer to design and build a new three credit asynchronous online course titled: Time Series Forecasting and Operational Analytics.
This role is for an experienced academic and curriculum strategist to serve as an Online Course Developer within Brandeis Online's graduate program. The developer will design and build asynchronous, instructor-facilitated online courses aligned with institutional learning outcomes, accreditation standards, and workforce relevance This course will cover predictive modeling and forecasting under uncertainty, including ARIMA, Prophet, and deep learning approaches for sustainable operations.
Responsibilities:
The development of an online asynchronous course entails the creation and/or selection of elements as outlined in the Brandeis Online Course Standards. Required components include a Brandeis-compliant syllabus, instructor-created materials informed by current industry knowledge, learning objects, and applied assignments and assessments aligned to course and program outcomes.
The Developer is responsible for the substantive content and pedagogical strategies of the course and agrees to uphold Brandeis's academic standards and online course development guidelines.
Throughout the design process, the Developer will collaborate with Brandeis Online staff, adhere to technical requirements for LMS integration, and meet project milestones. Course drafts will be submitted at designated intervals for feedback, and final approval will be contingent upon a comprehensive design review by a Learning Designer, and Brandeis Online.
Qualifications:
  • 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 year of teaching or training experience (preferably online/asynchronous).
  • Minimum 1 year experience developing asynchronous online courses for adult learners in higher education.
  • Proficiency with LMS platforms and digital authoring tools.
  • Familiarity with analytical tools, collaborative platforms, and interdisciplinary teamwork.
  • Strong communication, organization, and independent work skills.
  • Familiarity with curriculum design, accreditation standards, and graduate-level rigor.
  • Ability to translate interdisciplinary content into engaging, accessible learning pathways.
  • Strong writing and editing skills to produce cohesive, learner-centered experiences.

Preferred Experience:
  • Experience teaching or developing graduate-level online courses.
  • Knowledge of global learner personas and culturally responsive pedagogy.
  • Familiarity with Moodle LMS and digital authoring tools (e.g., H5P).
  • Familiarity with experiential learning models and employer-aligned curriculum.

Additional Details:
  • Fully remote (U.S.-based applicants only; no visa sponsorship)
  • 12-week development timeline (~65 total hours)
  • Compensation: $3,000.00

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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