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Arima Jobs (NOW HIRING)

For the Time Series, we look for someone who understands advanced time series forecasting techniques not just experience with ARIMA models. We want someone who has worked in CPG industry and worked ...

Data Scientist

Southfield, MI · On-site

$128K/yr

... ARIMA, RESTful APIs, GCP, Terraform, Docker, VBA, and ODBC to complete assignments; translate complex analytical findings into clear, actionable insights; utilize cutting-edge Natural Language ...

Must have 1 year of experience with each of the following: 1. Holt's linear Trend Model and Holt Winters Seasonal Model; 2. Arima models and seasonal Arima (Sarima); 3. Tableau and Power BI; 4. ...

... methods (ARIMA, Prophet, gradient boosting, neural forecasters) • Familiarity with NLP pipelines: text classification, named entity recognition, document parsing, or sentiment analysis • ...

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 ...

Si te interesa crear tu propia agencia de viajes ,ganar lo que deseas , manejar tus tiempos y aparte comisionar de viajes y viajar más esto es para ti. Tener ganas de emprender y conocer nuevos ...

Apply Early

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Arima information

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How much do arima jobs pay per hour?

As of Jul 2, 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 are Arima jobs?

ARIMA jobs refer to roles that involve using the ARIMA (AutoRegressive Integrated Moving Average) statistical model, which is commonly applied in time series forecasting and analysis. These positions typically require skills in data analysis, statistical modeling, and programming, often using tools like Python or R. Professionals in ARIMA jobs may work in industries such as finance, economics, supply chain, and analytics to forecast trends and make data-driven decisions.

What are the key skills and qualifications needed to thrive as an Arima, and why are they important?

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 is an Arima job?

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 is the difference between Arima vs Data Analyst?

AspectArimaData Analyst
Required CredentialsStatistics, time series analysis, programming skillsStatistics, data visualization, SQL, Excel
Work EnvironmentResearch, finance, or tech companies focusing on forecastingBusiness, marketing, finance departments
Employer & Industry UsageFinancial institutions, tech firms, research organizationsCorporations, 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.

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.
More about Arima jobs
What states have the most Arima jobs? States with the most job openings for Arima jobs include:
Data Scientist

Data Scientist

Inherent Technologies

Chandler, AZ • Remote

Other

Posted 15 days ago


Job description

Must have skill: Strong Time Series forecasting, ML, deep learning and standard statistical methods to evaluate models. Experience working on supply chain projects.
Job Description: We are seeking a highly skilled Data Scientist to join our team. The ideal candidate will be a self-motivated, analytical problem solver who enjoys diving into data, developing algorithms, and interfacing between technical teams and business stakeholders.
Key Responsibilities:
- Design and implement advanced machine learning algorithms for time series forecasting.
- Conduct exploratory data analysis using Python, SQL, and other tools.
- Develop and deploy deep learning models to improve forecasting accuracy.
- Collaborate with cross-functional teams including product managers, software engineers, and other scientists.
- Communicate findings and insights through data visualization tools like Tableau or Power BI.
- Stay updated with the latest research and advancements in demand forecasting and machine learning.
Qualifications:
- Bachelor's or master's degree in computer science, Statistics, Mathematics, Data Science, or a related field.
- 3+ years of experience in machine learning, statistical modeling, and data analysis.
- Proficiency in programming languages such as Python and SQL.
- Experience with time series forecasting techniques (e.g., Prophet, ARIMA, Holt-Winters, neural networks).
- Strong problem-solving skills and ability to work in a fast-paced environment.
- Excellent communication and presentation skills.
Preferred Qualifications:
- Experience with cloud platforms like GCP.
- Previous experience in demand forecasting or related fields.
Note: We want to find people with strong Time Series forecasting, ML, deep learning (we want to explore neural networks as well), and standard statistical methods to evaluate models. For the Time Series, we look for someone who understands advanced time series forecasting techniques not just experience with ARIMA models.
We want someone who has worked in CPG industry and worked on demand planning for fast moving goods. This means the person should have experience working on supply chain projects.

Thanks and Regards

Syed Salim | Technical Recruiter

Ph: (520)495-0084 Email: Salim@inherenttech.com

Inherent Technologies, Together, we can.... SM

www.inherenttechnologies.com