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Arima Jobs (NOW HIRING)

Walmart

(USA)Staff, Data Scientist

Hayward, 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 ...

Walmart

(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 ...

Walmart

(USA) Distinguished, Data Scientist

Centerton, AR · On-site

$130K - $260K/yr

Production experience with NLP (BERT, SBERT, FAISS, RAG), computer vision (YOLO, CLIP), and time series forecasting (ARIMA, Prophet). * Hands-on experience building and orchestrating multiple AI ...

Walmart

Principal, Data Scientist

Lowell, AR · On-site

$110K - $220K/yr

Production experience with NLP (BERT, SBERT, FAISS, RAG), computer vision (YOLO, CLIP), and time‑series forecasting (ARIMA, Prophet) * Hands‑on experience building and orchestrating multiple AI ...

Cambro

Azure AI Engineer

Huntington Beach, CA · On-site

$103K - $135K/yr

... ARIMA, Prophet, LSTM, etc.) and time series analysis. • Familiarity with LLMs, prompt engineering, and fine-tuning techniques. • Knowledge of Lakehouse architecture and tools like Azure Synapse ...

Walmart

Principal, Data Scientist

Greenland, AR · On-site

$110K - $220K/yr

Production experience with NLP (BERT, SBERT, FAISS, RAG), computer vision (YOLO, CLIP), and time‑series forecasting (ARIMA, Prophet) * Hands‑on experience building and orchestrating multiple AI ...

Walmart

(USA)Staff, Data Scientist

Cupertino, 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 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:
What job categories do people searching Arima jobs look for? The top searched job categories for Arima jobs are:
Arima jobs near you
(USA) Distinguished, Data at Sunnyvale, California

(USA) Distinguished, Data at Sunnyvale, California

disABLEDperson Inc

Sunnyvale, CA • On-site

$156K - $312K/yr

Other

Posted 2 days ago

Job description

Distinguished Data Scientist

Bellevue, WA: $156,000 - $312,000/yr Bentonville, AR: $130,000 - $260,000/yr Regular/ Permanent Salaried

Position Summary... What You'll Do... We are seeking a distinguished data scientist to provide technical leadership and long-term vision for next-generation AI systems and platforms. This senior individual contributor will drive breakthrough system design and advanced solution development that transforms Walmart at scale. The role combines deep technical expertise (ML, simulation, optimization, agentic AI) with cross-functional influence, mentoring of senior talent, and delivery of high-impact, productionized solutions.

You will be a great fit if:

  • You architect end-to-end ML/AI systems - from feature engineering through production deployment and monitoring
  • You've built and shipped multiple autonomous AI agents (not just experimented with LLM APIs)
  • You're Level 5+ on Steve Yegge's Vibe Coding scale and can ship production systems through AI-assisted development
  • You combine deep statistical rigor with practical business impact

About the Team The Colony Platform team applies advanced data science, machine learning, and agentic AI to solve high-impact business problems across Walmart globally. You'll build production agentic systems, deploy autonomous AI agents, and translate complex data into actionable insights that drive measurable business value at massive scale.

What You'll Do

  • Build and deploy production ML systems end-to-end: data pipelines, feature stores, model training, serving layers, monitoring, and feedback loops at scale
  • Provide technical vision and lead advanced development in agentic AI, reinforcement learning, and simulation.
  • Architect and deploy large-scale AI systems and autonomous AI agents - conversational assistants, predictive agents with tool-calling, and multi-agent orchestration systems using LangChain, Pydantic AI, and RAG patterns
  • Design agentic evaluation frameworks that benchmark agent performance across task completion, code quality, and multi-step reasoning accuracy
  • Deploy NLP pipelines at enterprise scale - semantic similarity across millions of records using BERT/SBERT embeddings and vector search (FAISS)
  • Lead high-impact projects end-to-end; problem framing, modeling, prototyping, production architecture, and rollout.
  • Author and review technical designs and standards; present findings to senior leadership.
  • Mentor senior scientists and engineers on advanced modeling techniques, feature engineering, and experimentation design - raising the technical bar across teams.
  • Establish best practices for model validations, experimentation, and safe deployment of AI systems.
  • Influence roadmap prioritization and long-term strategy for AI and simulation capabilities.
  • Present insights to senior leadership with compelling data visualization, quantified business impact, and clear confidence intervals.

What You'll Bring

  • Deep expertise in ML algorithms (XGBoost, CatBoost, LightGBM, Random Forest, AutoML) and deep learning (PyTorch, transformer architectures).
  • Production experience with NLP (BERT, SBERT, FAISS, RAG), computer vision (YOLO, CLIP), and time series forecasting (ARIMA, Prophet).
  • Hands-on experience building and orchestrating multiple AI agents with LangChain, RAG, tool integration, and memory management.
  • Multi-cloud ML platform proficiency - AWS SageMaker AND GCP (Vertex AI, BigQuery, BigQuery ML).
  • Strong Python skills (Pandas, NumPy, Scikit-learn) with containerization (Docker) and MLOps practices.
  • Advanced statistical analysis, experiment design, and causal inference
  • Experience deploying production-grade AI systems at scale.
  • Ability to translate complex analytical results into clear business recommendations for non-technical stakeholders.

Minimum Qualifications

  • Masters degree in Statistics, Economics, Mathematics, Computer Science, Information Technology, or related field AND 8+ years' experience in data science or Machine Learning roles with demonstrated impact.

Preferred Qualifications

  • PhD in AI, Machine Learning, Computer Science, Information Technology, Statistics, Applied Mathematics, Econometrics, or related field with relevant industry experience.

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