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Weekend Data Scientist Deep Learning Jobs in Arizona

AI/ML Data Scientist Location: Phoenix, AZ - (100% Onsite) Duration: 6 months (possibility of an ... The ideal candidate will bring deep expertise in machine learning, statistical modeling, and large ...

Data Scientist

Scottsdale, AZ · On-site

$80K - $120K/yr

Experiment with algorithms (tree-based models, GLMs, ensemble methods, NLP, deep learning ... Master's degree in Data Science, CS, Statistics, Biomedical Informatics, or related field preferred ...

Position Summary The experienced Senior Data Scientist will support our precision medicine and ... Proven experience developing and validating predictive models using machine learning, deep learning ...

Position Summary The experienced Senior Data Scientist will support our precision medicine and ... Proven experience developing and validating predictive models using machine learning, deep learning ...

... deep learning, agentic systems); contribute to improving team standards and mentoring junior team members. Qualifications : Required : • 3-5 years of professional experience as a data scientist or ...

Data Scientist / Senior Data Scientist We are seeking a highly skilled Data Scientist with strong ... Build and optimize machine learning models for classification, regression, predictive analytics ...

Data Scientist / Senior Data Scientist We are seeking a highly skilled Data Scientist with strong ... Build and optimize machine learning models for classification, regression, predictive analytics ...

Master Electronics has an exciting career opportunity for a Data Scientist II . As a Data Scientist ... Research and apply emerging AI/ML techniques (generative AI, deep learning, agentic systems ...

Master Electronics has an exciting career opportunity for a Data Scientist II . As a Data Scientist ... Research and apply emerging AI/ML techniques (generative AI, deep learning, agentic systems ...

Master Electronics has an exciting career opportunity for a Data Scientist II . As a Data Scientist ... Research and apply emerging AI/ML techniques (generative AI, deep learning, agentic systems ...

The Data Scientist will join a team of other data scientists and analysts in helping develop the ... Development, Machine Learning & Maintenance (30%) * Train and Test Supervised and Unsupervised ...

The Data Scientist will join a team of other data scientists and analysts in helping develop the ... Development, Machine Learning & Maintenance (30%) * Train and Test Supervised and Unsupervised ...

Data Scientist II

Tempe, AZ · Hybrid

$131.20K - $172.20K/yr

Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims ... As a Data Scientist II you will drive data science projects across multiple teams and domains. In ...

Data Scientist II

Tempe, AZ · On-site

$131.20K - $172.20K/yr

Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims ... As a Data Scientist II you will drive data science projects across multiple teams and domains. In ...

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Weekend Data Scientist Deep Learning information

What is the difference between Weekend Data Scientist Deep Learning vs Weekend Data Analyst?

AspectWeekend Data Scientist Deep LearningWeekend Data Analyst
Required CredentialsTypically requires a degree in Data Science, Computer Science, or related fields; knowledge of deep learning frameworksUsually requires a degree in Data Analysis, Statistics, or related fields; proficiency in Excel, SQL, and basic analytics tools
Work EnvironmentOften involves working on complex machine learning models, coding in Python or R, and experimenting with neural networksFocuses on data cleaning, reporting, and visualization, often using Excel, Tableau, or Power BI
Employer & Industry UsageUsed in tech companies, research institutions, and AI-focused startupsCommon in finance, marketing, healthcare, and retail sectors

Weekend Data Scientist Deep Learning roles focus on developing advanced AI models and require programming skills, while Weekend Data Analysts handle data interpretation and reporting. Both roles are valuable but differ in technical complexity and industry application.

What are the most commonly searched types of Data Scientist Deep Learning jobs in Arizona? The most popular types of Data Scientist Deep Learning jobs in Arizona are:
What are popular job titles related to Weekend Data Scientist Deep Learning jobs in Arizona? For Weekend Data Scientist Deep Learning jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Weekend Data Scientist Deep Learning jobs in Arizona look for? The top searched job categories for Weekend Data Scientist Deep Learning jobs in Arizona are:
AI/ML Data Scientist

AI/ML Data Scientist

Wise Skulls

Phoenix, AZ • On-site

Contractor

Posted 7 days ago


Job description

Title: AI/ML Data Scientist
Location: Phoenix, AZ - (100% Onsite)
Duration: 6 months (possibility of an extension)
Implementation Partner: Infosys
End Client: To be disclosed
JD:
Position Overview
  • We are seeking a highly experienced Senior Data Scientist to support and enhance our AIOps (Artificial Intelligence for IT Operations) solution. This position plays a critical role in advancing our anomaly detection, root cause analysis, and intelligent automation capabilities across enterprise systems.
  • The ideal candidate will bring deep expertise in machine learning, statistical modeling, and large-scale data analysis, with strong hands-on proficiency in Python and SQL. This individual will drive innovation in operational intelligence by leveraging anomaly detection, causal reasoning, time series modeling, and emerging GenAI techniques.

Key Responsibilities
  • Design and implement scalable machine learning models for AIOps use cases including anomaly detection and root cause analysis.
  • Develop and optimize advanced anomaly detection algorithms for infrastructure, application, and operational telemetry data.
  • Apply causal reasoning frameworks to identify drivers of incidents and operational disruptions.
  • Build and deploy time series forecasting and modeling solutions to predict performance degradation and system failures.
  • Develop robust data pipelines and analytical workflows using Python and SQL.
  • Integrate Generative AI (GenAI) techniques for intelligent summarization, incident triage, knowledge extraction, and automation.
  • Collaborate with engineering, DevOps, and platform teams to operationalize ML models in production environments.
  • Drive continuous improvement of model performance, scalability, and reliability.
  • Mentor junior data scientists and contribute to best practices in MLOps and model governance.

Required Qualifications
  • 6+ years of experience in data science or applied machine learning roles.
  • Strong communication and stakeholder management skills.
  • Strong proficiency in Python (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow or similar).
  • Advanced SQL skills for data manipulation and analysis.
  • Proven experience in anomaly detection techniques (statistical, ML-based, deep learning-based).
  • Strong understanding and practical application of causal inference and causal reasoning methodologies.
  • Hands-on experience with large-scale structured and time series datasets.
  • Solid knowledge of time series modeling (ARIMA, Prophet, LSTM, state-space models, etc.).
  • Experience deploying models into production environments.
  • Strong analytical thinking and problem-solving capabilities.

Preferred Qualifications
  • Experience in AIOps, IT Operations analytics, or observability platforms.
  • Exposure to GenAI / LLM-based solutions for operational intelligence.