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Part Time Time Series Forecasting Jobs (NOW HIRING)

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 ...

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Varsity Tutors

Business Statistics Tutor

WY · 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

Champaign, IL · 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

AL · 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

Des Plaines, IL · 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

Provo, UT · 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

Cleveland, 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

Idaho Falls, ID · 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

Quincy, MA · 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

Trenton, 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

Houston, 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 ...

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Showing results 1-20

All JobsPart Time Time Series Forecasting Jobs

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 Jun 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 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.

Is 30 too late for data science?

Age is not a barrier to entering data science or related roles like part-time time series forecasting. Success depends on skills, experience, and continuous learning, which can be pursued at any age through online courses, certifications, and practical projects.

Is 40 too late for data science?

Age is not a barrier to entering a data science or time series forecasting role; many professionals successfully transition into the field later in life. Building relevant skills such as programming, statistics, and experience with tools like Python or R can improve job prospects regardless of age.

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.

Is time series forecasting hard?

Time series forecasting as a part-time role involves analyzing data patterns to predict future values, which requires skills in statistics, programming, and data analysis tools like Python or R. The difficulty depends on the complexity of the data and the level of accuracy required, but gaining proficiency often involves learning modeling techniques such as ARIMA, exponential smoothing, or machine learning methods. Consistent practice and understanding of domain-specific factors can help improve forecasting accuracy in this role.

How to get a job in forecasting?

To get a job in time series forecasting, develop strong skills in statistical analysis, programming languages like Python or R, and familiarity with forecasting tools such as ARIMA or Prophet. Gaining experience through internships, projects, or certifications in data analysis and machine learning can improve your chances, along with a relevant degree in statistics, mathematics, or data science.

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 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
Adjunct Instructor in Time Series Forecasting and Operational Analytics

Adjunct Instructor in Time Series Forecasting and Operational Analytics

Brandeis University

Waltham, MA • On-site

$6.5K/mo

Part-time

Posted 9 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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