AI ML Data Scientist
Cary, NC · On-site
... ARIMA & GARCH • Deep Learning - Neural Network, Recurrent Neural Networks • Database - SQL, Advance SQL, Oracle, NoSQL • Data Science Languages - SAS, SAS Enterprise Miner, R Programming ...
AI ML Data Scientist
Cary, NC · On-site
... ARIMA & GARCH • Deep Learning - Neural Network, Recurrent Neural Networks • Database - SQL, Advance SQL, Oracle, NoSQL • Data Science Languages - SAS, SAS Enterprise Miner, R Programming ...
E-Commerce Demand Planning Manager
Manhattan, NY · On-site
$120K/yr
Hands-on experience with time-series forecasting techniques (e.g., ARIMA, exponential smoothing, causal models) * Strong understanding of forecast accuracy metrics (MAPE, WAPE, Bias, MAE) Data ...
E-Commerce Demand Planning Manager
Manhattan, NY · On-site
$120K/yr
Hands-on experience with time-series forecasting techniques (e.g., ARIMA, exponential smoothing, causal models) * Strong understanding of forecast accuracy metrics (MAPE, WAPE, Bias, MAE) Data ...
Senior Data Scientist - Forecasting
Portland, OR · On-site
$100 - $140/hr
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 ...
Senior Data Scientist - Forecasting
Portland, OR · On-site
$100 - $140/hr
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 ...
Work closely with Data Scientists, Analysts, and Traders to design, implement, and optimize machine learning models for time series forecasting, including ARIMA/SARIMA, gradient boosting methods (e.g ...
Work closely with Data Scientists, Analysts, and Traders to design, implement, and optimize machine learning models for time series forecasting, including ARIMA/SARIMA, gradient boosting methods (e.g ...
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 ...
Utilize time-series analysis (e.g., ARIMA, Exponential Smoothing) and machine learning models (e.g., Random Forest, Gradient Boosting, XGBoost) for demand prediction and resource optimization.
Utilize time-series analysis (e.g., ARIMA, Exponential Smoothing) and machine learning models (e.g., Random Forest, Gradient Boosting, XGBoost) for demand prediction and resource optimization.
Manager, Audience Analytics
New York, NY · On-site
... ARIMA, Decision Tree, Random Forest etc.$85,000-$100,000 Omnicom's policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by ...
Manager, Audience Analytics
New York, NY · On-site
... ARIMA, Decision Tree, Random Forest etc.$85,000-$100,000 Omnicom's policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by ...
Senior Data Scientist - Forecasting
Portland, OR · On-site
$140 - $170/hr
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 ...
Senior Data Scientist - Forecasting
Portland, OR · On-site
$140 - $170/hr
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 ...
E-Commerce Demand Planning Manager
New York, NY · On-site
$120K/yr
Hands-on experience with time-series forecasting techniques (e.g., ARIMA, exponential smoothing, causal models) * Strong understanding of forecast accuracy metrics (MAPE, WAPE, Bias, MAE) Data ...
E-Commerce Demand Planning Manager
New York, NY · On-site
$120K/yr
Hands-on experience with time-series forecasting techniques (e.g., ARIMA, exponential smoothing, causal models) * Strong understanding of forecast accuracy metrics (MAPE, WAPE, Bias, MAE) Data ...
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 ...
Senior Applied AI/ML Engineer
Manhattan, NY · On-site
$140 - $210/hr
Demand forecasting / time-series (Prophet, ARIMA-family, gradient-boosted) * Agentic workflows, RAG, or retrieval systems in production * Document understanding / information extraction from ...
Senior Applied AI/ML Engineer
Manhattan, NY · On-site
$140 - $210/hr
Demand forecasting / time-series (Prophet, ARIMA-family, gradient-boosted) * Agentic workflows, RAG, or retrieval systems in production * Document understanding / information extraction from ...
ARIMA, DLM's, VAR's), regression model diagnostics for time series and cross sectional data, along with Machine Learning methodologies like Random Forests, SVM's and Boosting/Bagging. The ideal ...
ARIMA, DLM's, VAR's), regression model diagnostics for time series and cross sectional data, along with Machine Learning methodologies like Random Forests, SVM's and Boosting/Bagging. The ideal ...
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 ...
Work closely with Data Scientists, Analysts, and Traders to design, implement, and optimize machine learning models for time series forecasting, including ARIMA/SARIMA, gradient boosting methods (e.g ...
Work closely with Data Scientists, Analysts, and Traders to design, implement, and optimize machine learning models for time series forecasting, including ARIMA/SARIMA, gradient boosting methods (e.g ...
Sr. Data Scientist - Demand Forecasting, O9 Platform
Marlborough, MA · On-site
$103 - $130/hr
Strong experience with forecasting methods such as exponential smoothing, ARIMA, Prophet, and custom model tuning. * Experience in supply‑chain analytics (demand planning, supply planning ...
Sr. Data Scientist - Demand Forecasting, O9 Platform
Marlborough, MA · On-site
$103 - $130/hr
Strong experience with forecasting methods such as exponential smoothing, ARIMA, Prophet, and custom model tuning. * Experience in supply‑chain analytics (demand planning, supply planning ...
Work closely with Data Scientists, Analysts, and Traders to design, implement, and optimize machine learning models for time series forecasting, including ARIMA/SARIMA, gradient boosting methods (e.g ...
Work closely with Data Scientists, Analysts, and Traders to design, implement, and optimize machine learning models for time series forecasting, including ARIMA/SARIMA, gradient boosting methods (e.g ...
Arima information
See salary details
$24.52 - $30.88
10% of jobs
$30.88 - $37.24
6% of jobs
$37.24 - $43.60
7% of jobs
$44.33 is the 25th percentile. Wages below this are outliers.
$43.60 - $49.96
14% of jobs
The median wage is $53.27 / hr.
$49.96 - $56.32
24% of jobs
$60.73 is the 75th percentile. Wages above this are outliers.
$56.32 - $62.67
19% of jobs
$62.67 - $69.03
11% of jobs
$69.03 - $75.39
3% of jobs
$75.39 - $81.75
2% of jobs
$81.75 - $88.11
2% of jobs
$88.11 - $94.47
1% of jobs
$24
$54
$94
How much do arima jobs pay per hour?
As of Aug 17, 2026, the average hourly pay for arima in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.
What is an Arima?
An ARIMA job typically refers to work involving the ARIMA (AutoRegressive Integrated Moving Average) statistical model, commonly used for time series forecasting. Professionals working with ARIMA models analyze historical data to predict future trends, often in fields like finance, economics, and supply chain management. This role requires expertise in statistical modeling, data analysis, and programming languages such as Python or R.
What are the key skills and qualifications needed to thrive as an Arima?
I'm sorry, but 'Arima' does not correspond to a recognized real-world professional occupation, so I cannot provide a relevant skills and qualifications summary.
What are common challenges faced by professionals working in Arima roles and how can they overcome them?
Professionals working in Arima roles, such as those specializing in the ARIMA (AutoRegressive Integrated Moving Average) time series modeling technique, often face challenges related to data quality and model selection. Handling missing data, seasonality, and non-stationary datasets can be complex and requires strong analytical skills. Collaboration with data engineers and domain experts is often necessary to ensure accurate preprocessing and interpretation. To overcome these challenges, staying updated with best practices in statistical modeling and continually refining your approach based on feedback and results is crucial.
What is the difference between Arima vs Data Analyst?
| Aspect | Arima | Data Analyst |
|---|---|---|
| Required Credentials | Statistics, time series analysis, programming skills | Statistics, data visualization, SQL, Excel |
| Work Environment | Research, finance, or tech companies focusing on forecasting | Business, marketing, finance departments |
| Employer & Industry Usage | Financial institutions, tech firms, research organizations | Corporations, consulting firms, government agencies |
Arima specialists focus on time series forecasting using advanced statistical models, often requiring expertise in programming and statistical analysis. Data Analysts handle broader data interpretation, visualization, and reporting across various industries. While both roles involve data skills, Arima is more specialized in forecasting models, whereas Data Analysts focus on data insights and communication.
More about Arima jobs
What states have the most Arima jobs?
States with the most job openings for Arima jobs include:
What job categories do people searching Arima jobs look for?
The top searched job categories for Arima jobs are:
Job description
Job Summary:
ClifyX is a company specializing in data science and analytics, and they are seeking an AI ML Data Scientist. The role requires expertise in predictive modeling and big data analytics, with a focus on implementing machine learning techniques to solve various business problems in the banking and financial services sector.
Responsibilities:
• Data Scientist with 5-10+ years of result-oriented, hands-on professional experience with a successful record of accomplishments in Data Science & Analytics and Project management in Banking and Financial Services.
• Expertise in Predictive Modeling and Big Data Analytics, Statistical model development, Implementations & Optimization techniques
• Proficiency in implementing Machine learning techniques -Regression, Decision Tree Learning, Neural networks, Random Forest and XGBoost-in various business problems (AML, fraud detection, mortgage default, foreclosure, credit risk management, price prediction and optimization)
• Strong leadership and capacity to work as a team player, as well as excellent communication skills
• Some knowledge on various aspects of Retail and Wholesale Consumer banking and US Mortgage Banking.
Qualifications:
Required:
• Machine Learning techniques
• Unsupervised - K-means Clustering, PCA - Dimension Reduction, Kernel Density Estimations
• Supervised - Regression, Decision Trees, Random forest, XG Boost algorithm
• Time series - Exponential models, Holt-Winters, ETS, Hybrid
• ARIMA & GARCH
• Deep Learning - Neural Network, Recurrent Neural Networks
• Database - SQL, Advance SQL, Oracle, NoSQL
• Data Science Languages - SAS, SAS Enterprise Miner, R Programming, Python, Spark
• Statistical & Data Management Packages - Python - Pandas, Numpy, sklearn, PyOdbc
• R- dplyr, car, caret, lubridate, zoo, Rminer, R-Odbc
• Visualization - Tableau, Shiny, ggplot2, dygraphs, matplotlib, seaborn
• Big Data Technologies - Spark (Pyspark & SparkR), Hadoop, Yarn
• PM Tools - MS Project, MS Visio, TFS, JIRA
• Cloud, Web frameworks & Virtualization - Azure, Flask, Docker & Kubernetes, Kafka
• 5-10+ years of result-oriented, hands-on professional experience with a successful record of accomplishments in Data Science & Analytics and Project management in Banking and Financial Services
• Expertise in Predictive Modeling and Big Data Analytics, Statistical model development, Implementations & Optimization techniques
• Proficiency in implementing Machine learning techniques - Regression, Decision Tree Learning, Neural networks, Random Forest and XGBoost-in various business problems (AML, fraud detection, mortgage default, foreclosure, credit risk management, price prediction and optimization)
• Strong leadership and capacity to work as a team player, as well as excellent communication skills
• Some knowledge on various aspects of Retail and Wholesale Consumer banking and US Mortgage Banking
Company:
ClifyX provides innovative business solutions which satisfy requirements for mission-critical reliability, scalability, interoperations. Founded in 1998, the company is headquartered in South Plainfield, USA, with a team of 501-1000 employees. The company is currently Late Stage.
ClifyX is a company specializing in data science and analytics, and they are seeking an AI ML Data Scientist. The role requires expertise in predictive modeling and big data analytics, with a focus on implementing machine learning techniques to solve various business problems in the banking and financial services sector.
Responsibilities:
• Data Scientist with 5-10+ years of result-oriented, hands-on professional experience with a successful record of accomplishments in Data Science & Analytics and Project management in Banking and Financial Services.
• Expertise in Predictive Modeling and Big Data Analytics, Statistical model development, Implementations & Optimization techniques
• Proficiency in implementing Machine learning techniques -Regression, Decision Tree Learning, Neural networks, Random Forest and XGBoost-in various business problems (AML, fraud detection, mortgage default, foreclosure, credit risk management, price prediction and optimization)
• Strong leadership and capacity to work as a team player, as well as excellent communication skills
• Some knowledge on various aspects of Retail and Wholesale Consumer banking and US Mortgage Banking.
Qualifications:
Required:
• Machine Learning techniques
• Unsupervised - K-means Clustering, PCA - Dimension Reduction, Kernel Density Estimations
• Supervised - Regression, Decision Trees, Random forest, XG Boost algorithm
• Time series - Exponential models, Holt-Winters, ETS, Hybrid
• ARIMA & GARCH
• Deep Learning - Neural Network, Recurrent Neural Networks
• Database - SQL, Advance SQL, Oracle, NoSQL
• Data Science Languages - SAS, SAS Enterprise Miner, R Programming, Python, Spark
• Statistical & Data Management Packages - Python - Pandas, Numpy, sklearn, PyOdbc
• R- dplyr, car, caret, lubridate, zoo, Rminer, R-Odbc
• Visualization - Tableau, Shiny, ggplot2, dygraphs, matplotlib, seaborn
• Big Data Technologies - Spark (Pyspark & SparkR), Hadoop, Yarn
• PM Tools - MS Project, MS Visio, TFS, JIRA
• Cloud, Web frameworks & Virtualization - Azure, Flask, Docker & Kubernetes, Kafka
• 5-10+ years of result-oriented, hands-on professional experience with a successful record of accomplishments in Data Science & Analytics and Project management in Banking and Financial Services
• Expertise in Predictive Modeling and Big Data Analytics, Statistical model development, Implementations & Optimization techniques
• Proficiency in implementing Machine learning techniques - Regression, Decision Tree Learning, Neural networks, Random Forest and XGBoost-in various business problems (AML, fraud detection, mortgage default, foreclosure, credit risk management, price prediction and optimization)
• Strong leadership and capacity to work as a team player, as well as excellent communication skills
• Some knowledge on various aspects of Retail and Wholesale Consumer banking and US Mortgage Banking
Company:
ClifyX provides innovative business solutions which satisfy requirements for mission-critical reliability, scalability, interoperations. Founded in 1998, the company is headquartered in South Plainfield, USA, with a team of 501-1000 employees. The company is currently Late Stage.
About ClifyX
Sourced by ZipRecruiter
ClifyX is a well-established player in the IT Services sector that specializes in providing result-oriented technological solutions to a wide range of industrial verticals. Based in South Plainfield, New Jersey, ClifyX offers a comprehensive selection of IT services that include project staffing, application development, professional consulting, and other IT-based solutions. While the company's website, clifyx.com, does not divulge the exact founding date, it is clear that ClifyX has grown into a renowned name within their domain, thanks to their unwavering commitment to innovative practices. The company's mission statement revolves around harnessing the power of technology to assist their clientele in steering their respective businesses towards success.
Industry
Recruiting and staffing services
Company size
51 - 200 Employees
Headquarters location
South Plainfield, NJ, US
Year founded
1998