Brandeis, CA · On-site
$6.5K/mo
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 ...
Brandeis, CA · On-site
$6.5K/mo
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 ...
Waltham, MA · On-site
$6.5K/mo
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 ...
Waltham, MA · On-site
$6.5K/mo
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 ...
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 ...
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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 ...
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 ...
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 ...
Palo Alto, CA · On-site
$144K - $190K/yr
Implement time-series forecasting and predictive analytics solutions. Infrastructure & DevOps * Manage cloud-based infrastructure and distributed computing environments. * Develop and maintain CI/CD ...
Palo Alto, CA · On-site
$144K - $190K/yr
Implement time-series forecasting and predictive analytics solutions. Infrastructure & DevOps * Manage cloud-based infrastructure and distributed computing environments. * Develop and maintain CI/CD ...
Morristown, NJ · On-site
$134K - $148K/yr
Develop and maintain time series forecasting models, incorporating machine learning algorithms and predictive analytics methodologies * Conduct in-depth data analysis and visualization of historical ...
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Morristown, NJ · On-site
$134K - $148K/yr
Develop and maintain time series forecasting models, incorporating machine learning algorithms and predictive analytics methodologies * Conduct in-depth data analysis and visualization of historical ...
Lead development of time series forecasting models (ARIMA, VAR, state-space models, etc.) for business-critical use cases. * Apply econometric techniques such as WLS, panel data models, and causal ...
Lead development of time series forecasting models (ARIMA, VAR, state-space models, etc.) for business-critical use cases. * Apply econometric techniques such as WLS, panel data models, and causal ...
Philadelphia, PA · Hybrid
$150K - $165K/yr
Lead development of time series forecasting models (ARIMA, VAR, state-space models, etc.) for business-critical use cases. * Apply econometric techniques such as WLS, panel data models, and causal ...
Quick apply
Philadelphia, PA · Hybrid
$150K - $165K/yr
Lead development of time series forecasting models (ARIMA, VAR, state-space models, etc.) for business-critical use cases. * Apply econometric techniques such as WLS, panel data models, and causal ...
Design, develop, and refine statistical and machine learning models (e.g., time series forecasting, probabilistic models, optimization-linked models) to support decision-making and enhance product ...
Quick apply
Design, develop, and refine statistical and machine learning models (e.g., time series forecasting, probabilistic models, optimization-linked models) to support decision-making and enhance product ...
Design, develop, and refine statistical and machine learning models (e.g., time series forecasting, probabilistic models, optimization-linked models) to support decision-making and enhance product ...
Design, develop, and refine statistical and machine learning models (e.g., time series forecasting, probabilistic models, optimization-linked models) to support decision-making and enhance product ...
Design, develop, and refine statistical and machine learning models (e.g., time series forecasting, probabilistic models, optimization-linked models) to support decision-making and enhance product ...
Design, develop, and refine statistical and machine learning models (e.g., time series forecasting, probabilistic models, optimization-linked models) to support decision-making and enhance product ...
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 ...
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 ...
San Francisco, CA · On-site +1
$164K - $339K/yr
Drive broader time-series impact beyond point forecasts -e.g., anomaly detection, automated root ... Embed forecasting into the business. Partner with BizOps/Finance and product teams to integrate ...
San Francisco, CA · On-site +1
$164K - $339K/yr
Drive broader time-series impact beyond point forecasts -e.g., anomaly detection, automated root ... Embed forecasting into the business. Partner with BizOps/Finance and product teams to integrate ...
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 ...
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 ...
Design, develop, and deploy time-series forecasting models including ARIMA, SARIMA, and ETS * Build machine-learning-based forecasting models using GBM, Random Forest, XGBoost, and LightGBM * Develop ...
Design, develop, and deploy time-series forecasting models including ARIMA, SARIMA, and ETS * Build machine-learning-based forecasting models using GBM, Random Forest, XGBoost, and LightGBM * Develop ...
Seattle, WA · On-site
$148K - $300K/yr
... time series forecasting models, and propose enhancements or alternative approaches to improve accuracy and robustness. 7. Collaborate with software engineers to integrate machine learning models into ...
Seattle, WA · On-site
$148K - $300K/yr
... time series forecasting models, and propose enhancements or alternative approaches to improve accuracy and robustness. 7. Collaborate with software engineers to integrate machine learning models into ...
San Jose, CA · On-site
$150K - $387K/yr
... time series forecasting models, and propose enhancements or alternative approaches to improve accuracy and robustness. 7. Collaborate with software engineers to integrate machine learning models into ...
San Jose, CA · On-site
$150K - $387K/yr
... time series forecasting models, and propose enhancements or alternative approaches to improve accuracy and robustness. 7. Collaborate with software engineers to integrate machine learning models into ...
Tontitown, AR · On-site
$90K - $180K/yr
Develop scalable time series forecasting systems leveraging global models like Temporal Fusion Transformers, N-BEATS, and PATCHTST , enabling robust forecasting across thousands of retail and e ...
Tontitown, AR · On-site
$90K - $180K/yr
Develop scalable time series forecasting systems leveraging global models like Temporal Fusion Transformers, N-BEATS, and PATCHTST , enabling robust forecasting across thousands of retail and e ...
Decatur, AR · On-site
$90K - $180K/yr
Develop scalable time series forecasting systems leveraging global models like Temporal Fusion Transformers, N-BEATS, and PATCHTST , enabling robust forecasting across thousands of retail and e ...
Decatur, AR · On-site
$90K - $180K/yr
Develop scalable time series forecasting systems leveraging global models like Temporal Fusion Transformers, N-BEATS, and PATCHTST , enabling robust forecasting across thousands of retail and e ...
Anderson, MO · On-site
$90K - $180K/yr
Develop scalable time series forecasting systems leveraging global models like Temporal Fusion Transformers, N-BEATS, and PATCHTST , enabling robust forecasting across thousands of retail and e ...
Anderson, MO · On-site
$90K - $180K/yr
Develop scalable time series forecasting systems leveraging global models like Temporal Fusion Transformers, N-BEATS, and PATCHTST , enabling robust forecasting across thousands of retail and e ...
$51.5K - $55.7K
22% of jobs
$57.2K is the 25th percentile. Wages below this are outliers.
$55.7K - $60K
8% of jobs
$60K - $64.2K
19% of jobs
The median wage is $64.3K / yr.
$64.2K - $68.4K
14% of jobs
$72.1K is the 75th percentile. Wages above this are outliers.
$68.4K - $72.6K
14% of jobs
$72.6K - $76.9K
8% of jobs
$76.9K - $81.1K
2% of jobs
$81.1K - $85.3K
1% of jobs
$85.3K - $89.5K
0% of jobs
$89.5K - $93.8K
0% of jobs
$93.8K - $98K
12% of jobs
$51.5K
$69.7K
$98K
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.
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.
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.
Brandeis, CA • On-site
$6.5K/mo
Part-time
Posted 15 hours ago
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 DisclosureThe 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 StatementBrandeis 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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Colleges, universities, and professional schools
1,001 - 5,000 Employees
Waltham, MA, US
1948
