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Arima Jobs (NOW HIRING)

AI Architect - R01566870

Edison, NJ · Hybrid

$80 - $85/hr

... Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance ...

AI Architect - R01566870

Edison, NJ · On-site

$80 - $85/hr

... Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance ...

... ARIMA, and ARIMAX 7. Practical use of classification algorithms including Decision Trees and Support Vector Machines (SVM) 8. Proficiency with ML frameworks: TensorFlow, PyTorch, Sci-Kit Learn, CNTK ...

Data Engineer

New York, NY · On-site

$180K - $250K/yr

Application of forecasting and predictive modeling (e.g., ARIMA, Prophet) to business processes BENEFITS * Competitive compensation, including meaningful equity. * 100% coverage of medical, dental ...

Experience in computer vision, time-series modelling (ARIMA, Prophet) or multimodal AI. * Familiarity with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker). * Strong understanding of ...

Proven track record developing and deploying production forecasting models (ARIMA, SARIMAX, gradient boosting methods) * Production Deployment: Demonstrated experience taking models from research ...

Senior Applied AI/ML Engineer

New York, NY · On-site

$250K - $330K/yr

Demand forecasting / time-series (Prophet, ARIMA-family, gradient-boosted) * Agentic workflows, RAG, or retrieval systems in production * Document understanding / information extraction from ...

Experience in computer vision, time-series modelling (ARIMA, Prophet) or multimodal AI. * Familiarity with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker). * Strong understanding of ...

(USA)Staff, Data Scientist

Fremont, CA · On-site

$143K - $286K/yr

Statistical methods (ETS, ARIMA/SARIMA, State Space Models) * ML approaches (GBMs, Random Forests, linear/elastic models with engineered time features) * Deep learning (RNN/LSTM/GRU, Temporal ...

(USA)Staff, Data Scientist

San Jose, CA · On-site

$143K - $286K/yr

Statistical methods (ETS, ARIMA/SARIMA, State Space Models) * ML approaches (GBMs, Random Forests, linear/elastic models with engineered time features) * Deep learning (RNN/LSTM/GRU, Temporal ...

Familiarity with statistical forecasting methods (e.g., ARIMA, exponential smoothing) * Understanding of S&OP/SIOP processes * ProficiencyinSQL or comparable data querying tools Currently, Enovis ...

(USA)Staff, Data Scientist

Mountain View, CA · On-site

$143K - $286K/yr

Statistical methods (ETS, ARIMA/SARIMA, State Space Models) * ML approaches (GBMs, Random Forests, linear/elastic models with engineered time features) * Deep learning (RNN/LSTM/GRU, Temporal ...

(USA)Staff, Data Scientist

Milpitas, CA · On-site

$143K - $286K/yr

Statistical methods (ETS, ARIMA/SARIMA, State Space Models) * ML approaches (GBMs, Random Forests, linear/elastic models with engineered time features) * Deep learning (RNN/LSTM/GRU, Temporal ...

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Arima information

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$24

$54

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How much do arima jobs pay per hour?

As of Jul 23, 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:
Infographic showing various Arima job openings in the United States as of July 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Temporary. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.
Data Science Machine Learning Internship (Summer 2027)

Data Science Machine Learning Internship (Summer 2027)

Castleton Commodities International LLC

Houston, TX

Full-time

Posted 2 days ago


Job description

Application Deadline: September 1, 11:59pm EST

Program Summary - Commercial Technology Internships

Company Overview:

Castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets. Our strategically integrated platform has generated strong risk-adjusted returns for our investors since our formation.

Position Overview:

CCI is developing a leading-edge Data Science platform, as staying at the forefront of data management and analytics is essential to our investment strategy. We are looking for motivated and detail-oriented Machine Learning Interns with a strong interest in quantitative analysis, particularly time series forecasting to join our Global Data Science team in Stamford, CT, Houston, TX, or New York City offices. Our Machine Learning Internship provides a unique opportunity to work with fundamental market data, generating insights that support our commercial trading business. You will be responsible for analyzing time series data related to market fundamentals in the Power, Natural Gas, and Oil sectors, helping to identify key supply and demand drivers. These insights will play a vital role in forecasting price movements and supporting risk management decisions.

Responsibilities:

  • Apply mathematical and statistical knowledge to enhance existing machine learning applications and explore new solutions.
  • 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., XGBoost), LSTM networks, and linear regression-based approaches.
  • Assist in designing and implementing end-to-end data ingestion processes, ensuring seamless data flow to investing teams.
  • Work with desk heads, traders, and analysts to understand current data architecture, investment processes, and functional requirements for data science analysis.
  • Contribute to identifying and back-testing new data sets, leveraging machine learning techniques to drive insights.
  • Conduct ad hoc research on emerging project topics, including energy fundamental data, analytics trends, and best practices in big data and artificial intelligence.

Qualifications:

  • Currently pursuing a Bachelor's Degree or higher in Mathematics, Statistics, Physics, Computer Science or related technical field with a focus in Machine Learning.
  • Expected graduation date of Winter 2027 or Spring/Summer 2028.
  • Experience applying machine learning techniques such as regression, time series forecasting, deep learning, reinforcement learning, or predictive modeling to solve problems involving complex data patterns and market dynamics.
  • Strong programming experience in Python (preferred libraries: Pandas, NumPy, etc.)
  • Ability to communicate and interact with a wide range of users, from very technical to non-technical backgrounds.
  • Strong analytical skills with demonstrated attention to detail.