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Arima Jobs (NOW HIRING)

Product Data Scientist

California, MO · On-site

$150 - $200/hr

Hands-on forecasting expertise, including ARIMA, Prophet, or comparable time-series methods * Experience with disciplined backtesting, error analysis, and scenario planning * Experience designing ...

New

... 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 ...

Utilize traditional and machine learning techniques and tools to build a variety of models, including but not limited to logistic regression, XGBoost, neural networks, NLP, k-means clustering, ARIMA ...

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, and prophet forecasting. • Analyze and interpret results with some complexity. • Exercise limited judgment and discretion within defined procedures and practices. • Develop and code ...

... 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 ...

Showing results 21-40

Arima information

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$24

$54

$94

How much do arima jobs pay per hour?

As of Sep 7, 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?

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.

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 August 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.

Senior Data Scientist - Forecasting

Tiger Analytics Inc.

Portland, OR • On-site

Full-time

Re-posted 3 days ago


Job description

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

We are seeking a Senior Data Scientist - Forecasting to join our advanced analytics team supporting leading Retail, CPG, and Supply Chain clients. In this role, you will design, develop, and deploy forecasting solutions that drive critical business decisions across demand planning, inventory optimization, replenishment, logistics, sales forecasting, and supply chain operations.

You will work closely with business stakeholders, data engineers, supply chain planners, and analytics leaders to build scalable forecasting models that deliver measurable business impact. The ideal candidate combines strong statistical forecasting expertise with hands-on machine learning experience and the ability to translate complex analytical findings into actionable business recommendations.

Key Responsibilities

  • 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 hierarchical and multi-level forecasting solutions across products, regions, and channels
  • Perform large-scale data extraction, transformation, and analysis using SQL
  • Partner with supply chain, merchandising, planning, and business teams to understand forecasting requirements.
  • Translate business problems into analytical solutions.
  • Present model insights and recommendations to senior client stakeholders.
  • Lead workshops and forecasting strategy discussions with clients.
  • Implement and operationalize models in cloud environments
  • Collaborate with business stakeholders to translate demand planning requirements into scalable analytics solutions

Requirements

    • 10+ years of experience in applied data science or advanced analytics
    • 5+ years of hands-on experience in demand planning, demand forecasting, or sales forecasting
    • Strong domain experience in CPG, FMCG, retail, or similar industries
    • Advanced proficiency in Python (pandas, NumPy, scikit-learn, statsmodels)
    • Strong SQL skills for large-scale data processing
    • Proven experience deploying models in cloud environments (Azure preferred)

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.