Applied statistics, time-series forecasting (ARIMA, Prophet, neural methods) * Retail demand planning or demand sensing experience * SageMaker model training and deployment * Python, SQL, experience ...
Applied statistics, time-series forecasting (ARIMA, Prophet, neural methods) * Retail demand planning or demand sensing experience * SageMaker model training and deployment * Python, SQL, experience ...
Senior AI/ML Engineer -- End-to-End LLM & Forecasting
Manhattan, NY · On-site
$200/day
Build and improve demand forecasting across thousands of intermittent series -- classical time ... series and gradient-boosted models, with rolling-origin backtesting and best-fit selection
Senior AI/ML Engineer -- End-to-End LLM & Forecasting
Manhattan, NY · On-site
$200/day
Build and improve demand forecasting across thousands of intermittent series -- classical time ... series and gradient-boosted models, with rolling-origin backtesting and best-fit selection
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 ...
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 ...
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 ...
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 ...
Data Science Co-Op
Camden, NJ · On-site
Develop and refine time series forecasting models (e.g., ARIMA, Prophet, exponential smoothing, XGBoost) to support demand planning and supply chain decision-making.Apply statistical and machine ...
Data Science Co-Op
Camden, NJ · On-site
Develop and refine time series forecasting models (e.g., ARIMA, Prophet, exponential smoothing, XGBoost) to support demand planning and supply chain decision-making.Apply statistical and machine ...
Data Science Co-Op
Camden, NJ · On-site
Develop and refine time series forecasting models (e.g., ARIMA, Prophet, exponential smoothing, XGBoost) to support demand planning and supply chain decision-making.Apply statistical and machine ...
Data Science Co-Op
Camden, NJ · On-site
Develop and refine time series forecasting models (e.g., ARIMA, Prophet, exponential smoothing, XGBoost) to support demand planning and supply chain decision-making.Apply statistical and machine ...
Staff Data Scientist, Forecasting
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 ...
Staff Data Scientist, Forecasting
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 ...
Senior Machine Learning Engineer
Manhattan, NY · On-site
$115K - $158K/yr
You'll work on cutting-edge problems involving time-series forecasting, reinforcement learning, and large-scale data processing. What You'll Do * Design and implement machine learning models for ...
Senior Machine Learning Engineer
Manhattan, NY · On-site
$115K - $158K/yr
You'll work on cutting-edge problems involving time-series forecasting, reinforcement learning, and large-scale data processing. What You'll Do * Design and implement machine learning models for ...
Machine Learning Engineer - Demand Forecasting (TikTok Global E-commerce Supply Chain and Logistics)
San Jose, CA · On-site
$162K - $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 ...
Machine Learning Engineer - Demand Forecasting (TikTok Global E-commerce Supply Chain and Logistics)
San Jose, CA · On-site
$162K - $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 ...
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 ...
Quick apply
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 ...
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 ...
... time series forecasting, reinforcement learning, optimization, and LLM‑powered applications. You will operate with unusual scope for an intern: real business problems and work that ships to ...
... time series forecasting, reinforcement learning, optimization, and LLM‑powered applications. You will operate with unusual scope for an intern: real business problems and work that ships to ...
Machine Learning Engineer - Demand Forecasting (TikTok Global E-commerce Supply Chain and Logistics)
Seattle, WA · On-site
$153K - $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 ...
Machine Learning Engineer - Demand Forecasting (TikTok Global E-commerce Supply Chain and Logistics)
Seattle, WA · On-site
$153K - $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 ...
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 ...
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 ...
Quick apply
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 ...
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 ...
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 ...
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 ...
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 ...
Time Series Forecasting information
See salary details
$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
How much do time series forecasting jobs pay per year?
As of Sep 15, 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 is a time series forecasting?
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.
What are the key skills and qualifications needed to thrive in time series forecasting?
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?
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.
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Senior Applied Scientist - Demand Forecasting
Brentwood, CA • On-site
Prodapt
• 51 - 200 employees51 - 200 employees
Full-time
Re-posted 12 days ago
Job description
Overview
Prodapt is the largest specialized player in the Connectedness industry. As an AI-first strategic technology partner, Prodapt provides consulting, business reengineering, and managed services for the largest telecom and tech enterprises building networks and digital experiences of tomorrow. A ServiceNow-invested company, Prodapt has been recognized by Gartner as a Large, Telecom-Native, Regional IT Service Provider. A "Great Place To Work® Certified™" company, Prodapt employs over 6,000 technology and domain experts across the Americas, Europe, India, Africa, & Japan. Prodapt is part of the 130-year-old business conglomerate The Jhaver Group, which employs over 32,000 people across 80+ locations globally.
We are seeking a highly skilled Senior Applied Scientist with expertise in demand forecasting, machine learning, and retail analytics to develop and optimize forecasting models at scale.
Responsibilities
Requirements
Preferred:
Prodapt is the largest specialized player in the Connectedness industry. As an AI-first strategic technology partner, Prodapt provides consulting, business reengineering, and managed services for the largest telecom and tech enterprises building networks and digital experiences of tomorrow. A ServiceNow-invested company, Prodapt has been recognized by Gartner as a Large, Telecom-Native, Regional IT Service Provider. A "Great Place To Work® Certified™" company, Prodapt employs over 6,000 technology and domain experts across the Americas, Europe, India, Africa, & Japan. Prodapt is part of the 130-year-old business conglomerate The Jhaver Group, which employs over 32,000 people across 80+ locations globally.
We are seeking a highly skilled Senior Applied Scientist with expertise in demand forecasting, machine learning, and retail analytics to develop and optimize forecasting models at scale.
Responsibilities
- Develop and retrain demand forecasting models as new regional markets come online
- Adapt existing forecasting framework to regional demand signals (seasonality, buying patterns, lead times per market)
- Calibrate forecast accuracy using federated regional data
- Validate model quality meets go-live thresholds before each regional activation
- Collaborate with the optimization team on inputs to the allocation engine
Requirements
- Applied statistics, time-series forecasting (ARIMA, Prophet, neural methods)
- Retail demand planning or demand sensing experience
- SageMaker model training and deployment
- Python, SQL, experience with large-scale retail datasets
- Bachelor's degree in Computer Science, Engineering, or a related field; OR equivalent combination of education and relevant experience.
- Hands-on 7+ years of experience asApplied Scientist with expertise in demand forecasting.
- Ability to work independently with architectural direction from lead scientist
Preferred:
- Supply chain or inventory management domain experience
- Multi-market / international retail exposure
About Prodapt
Sourced by ZipRecruiter