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Time Series Forecasting Jobs (NOW HIRING)

Inherent Technologies

Data Scientist

Chandler, AZ · Remote

Strong Time Series forecasting, ML, deep learning and standard statistical methods to evaluate models. Experience working on supply chain projects. We are seeking a highly skilled Data Scientist to ...

Amazon

Data Scientist, Demand Forecasting

Bellevue, WA · On-site

At Amazon, our Demand Forecasting team is tackling one of the most ambitious challenges in applied time series research: building large-scale foundation models that generalize across an enormous and ...

Clera

Founding Product Engineer

San Francisco, CA · On-site

Train time-series forecasting models for power consumption and renewables production * Develop linear optimisation algorithms that reduce customer energy costs * Help choose and shape the core tech ...

Redolent, Inc.

Sr, ML Architect

Washington, DC · On-site

The ideal candidate will have a strong background in time series forecasting, anomaly detection, event classification, and correlation ML algorithms. Additionally, experience in integrating with ...

Clera

Founding Product Engineer

San Francisco, CA · On-site

Train time-series forecasting models for power consumption and renewables production * Develop linear optimisation algorithms that reduce customer energy costs * Help choose and shape the core tech ...

Redolent

AI/ML Engineer

Phoenix, AZ

This role requires hands-on experience with time series forecasting, anomaly detection, event classification, and correlation ML algorithms. Additionally, experience in integrating with large ...

Redolent, Inc.

AI/ML Engineer

Phoenix, AZ · On-site

This role requires hands-on experience with time series forecasting, anomaly detection, event classification, and correlation ML algorithms. Additionally, experience in integrating with large ...

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Time Series Forecasting information

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How much do time series forecasting jobs pay per year?

As of Jun 11, 2026, the average yearly pay for 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 in the Time Series Forecasting position, and why are they important?

Excelling in Time Series Forecasting requires a strong background in statistics, mathematics, data analysis, and experience with forecasting methodologies, often supported by a degree in a quantitative field. Proficiency with programming languages such as Python or R, statistical software (e.g., SAS, MATLAB), and familiarity with machine learning frameworks are commonly expected, along with relevant certifications being a plus. Attention to detail, problem-solving skills, and effective communication are important soft skills for interpreting results and collaborating with stakeholders. Mastery of these skills ensures accurate forecasting, actionable insights, and valuable contributions to data-driven business decisions.

What are some common challenges professionals face in Time Series Forecasting roles?

Professionals in Time Series Forecasting frequently encounter challenges such as handling missing or irregular data, selecting appropriate models for complex real-world scenarios, and accounting for seasonality and trends in datasets. They are often tasked with transforming raw data into a usable format, validating model performance, and continuously refining models as new data becomes available. Collaboration with business teams is essential to ensure forecasts align with organizational goals and are clearly communicated to non-technical stakeholders. Overcoming these challenges requires both technical expertise and effective problem-solving approaches, making the work dynamic and impactful.

What is a Time Series Forecasting job?

A Time Series Forecasting job involves analyzing sequential data points collected over time to identify patterns and trends, then using statistical and machine learning models to make future predictions. Professionals in this field work with historical data, applying techniques such as ARIMA, exponential smoothing, and deep learning models like LSTMs. These forecasts help businesses optimize decision-making in areas like sales, finance, inventory management, and demand planning. Strong skills in data analysis, programming (Python, R), and domain expertise are typically required.

More about Time Series Forecasting jobs
What cities are hiring for Time Series Forecasting jobs? Cities with the most 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 Time Series Forecasting jobs? States with the most job openings for Time Series Forecasting jobs include:
What job categories do people searching Time Series Forecasting jobs look for? The top searched job categories for Time Series Forecasting jobs are:
Time Series Forecasting jobs near you
Infographic showing various Time Series Forecasting job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 83% Physical, 6% Hybrid, and 11% 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

Brandeis, CA • Remote

$3K/wk

Part-time

Posted 20 hours 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 Developerwithin 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 theBrandeis 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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