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 ...
Quick apply
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
Deploy AI-powered product business suggestions to improve seller compliance and user trust. • Lead time-series forecasting innovation for logistics performance metrics (e.g., delivery delays ...
Deploy AI-powered product business suggestions to improve seller compliance and user trust. • Lead time-series forecasting innovation for logistics performance metrics (e.g., delivery delays ...
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 ...
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 ...
Marlborough, MA · Hybrid
$103K - $130K/yr
... time series modeling to business problems * Develop and optimize models for demand forecasting ... evening calls as required. * Authorized to work full time in the United States. Preferred ...
Marlborough, MA · Hybrid
$103K - $130K/yr
... time series modeling to business problems * Develop and optimize models for demand forecasting ... evening calls as required. * Authorized to work full time in the United States. Preferred ...
Marlborough, MA · On-site
$103K - $130K/yr
... time series modeling to business problems * Develop and optimize models for demand forecasting ... evening calls as required. * Authorized to work full time in the United States. Preferred ...
Marlborough, MA · On-site
$103K - $130K/yr
... time series modeling to business problems * Develop and optimize models for demand forecasting ... evening calls as required. * Authorized to work full time in the United States. Preferred ...
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 ...
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 ...
$17.07 - $19.60
4% of jobs
$19.60 - $22.14
14% of jobs
$23.11 is the 25th percentile. Wages below this are outliers.
$22.14 - $24.67
18% of jobs
$24.67 - $27.21
13% of jobs
The median wage is $27.42 / hr.
$27.21 - $29.74
13% of jobs
$29.74 - $32.28
7% of jobs
$33.83 is the 75th percentile. Wages above this are outliers.
$32.28 - $34.81
10% of jobs
$34.81 - $37.35
6% of jobs
$37.35 - $39.88
7% of jobs
$39.88 - $42.42
3% of jobs
$42.42 - $44.95
4% of jobs
$17
$29
$44
| Aspect | Evening Time Series Forecasting | Data Analyst |
|---|---|---|
| Credentials | Degree in statistics, data science, or related field; experience with forecasting models | Degree in statistics, data analysis, or related field; proficiency in data tools |
| Work Environment | Typically in finance, retail, or logistics sectors; focus on forecasting during evening hours | Varies across industries; analyzing data to inform business decisions |
| Industry Usage | Used for demand planning, sales forecasting, inventory management | Used for reporting, data interpretation, and strategic insights |
Evening Time Series Forecasting specializes in predicting future data trends during evening hours, often focusing on demand and sales patterns. Data Analysts interpret data to support decision-making across various industries. While both roles require analytical skills and familiarity with data tools, Forecasting roles emphasize modeling and prediction, whereas Data Analysts focus on data interpretation and reporting.
Brandeis, CA • On-site
$6.5K/mo
Part-time
Posted 21 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
