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Intern Data Scientist Machine Learning Jobs in Arizona

Data Scientist Position is for a Data Scientist (internal title: Technical Project Manager ... Develop and manage project roadmaps for AI and Machine Learning-driven products, ensuring timely ...

Data Scientist

Phoenix, AZ · On-site

$110 - $140/hr

Data Scientist Position Summary We are seeking a Data Scientist to partner with business ... Build, test, validate, and optimize machine learning and statistical models. * Deliver insights and ...

Build and refine statistical and machine learning models that identify emerging quality concerns ... Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, or a ...

New

The Data Scientist I supports internal AI and analytics initiatives by applying foundational AI ... Develops and evaluates statistical, machine learning, and AI models using appropriate performance ...

Build and refine statistical and machine learning models that identify emerging quality concerns ... Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, or a ...

New

The Data Scientist I supports internal AI and analytics initiatives by applying foundational AI ... Develops and evaluates statistical, machine learning, and AI models using appropriate performance ...

The Data Scientist I supports internal AI and analytics initiatives by applying foundational AI ... Develops and evaluates statistical, machine learning, and AI models using appropriate performance ...

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 ...

New

Build and refine statistical and machine learning models that identify emerging quality concerns ... Bachelors degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, or a ...

New

Data Science Analyst

Phoenix, AZ · On-site

$95 - $135/hr

The Data Science Analyst is responsible for using data science, machine learning, statistical modeling, and advanced analytics to solve complex business problems across Supply Chain and Operations.

Data Scientist

Phoenix, AZ · On-site

$136K - $164K/yr

This role drives internal data analytics projects ranging from short data explorations to long-term implementations of advanced predictive and machine learning models. The Data Scientist III ...

Attention to Detail Preferred Qualifications * 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics. * Experience producing or ...

Our client is seeking an AI Data Scientist for a direct hire opportunity in North Phoenix, AZ or ... Stay current with advances in computer vision, machine learning, and AI technologies. * Collaborate ...

As a Data Scientist , you'll be a key contributor in designing, building, and evaluating data ... Databricks certifications (e.g., Machine Learning Associate/Professional) * Knowledge of model ...

The Data Scientist will serve as a key contributor to the company's data and analytics strategy ... Develop, validate, and deploy machine learning and statistical models to support manufacturing and ...

Showing results 41-60

Intern Data Scientist Machine Learning information

What does an intern data scientist machine learning do?

An Intern Data Scientist in Machine Learning assists in analyzing large datasets, building predictive models, and extracting insights to support business decisions. They often work under the guidance of experienced data scientists to clean data, implement machine learning algorithms, and evaluate model performance. Their responsibilities may also include data visualization and reporting findings to team members. This role provides hands-on experience with real-world data science problems and tools, helping interns develop essential technical and analytical skills.

What types of projects and responsibilities can an intern data scientist machine learning expect to work on?

As an Intern Data Scientist focused on Machine Learning, you will often assist in tasks such as data cleaning, feature engineering, and developing or testing machine learning models under the supervision of senior team members. You may also be involved in exploratory data analysis and help interpret model results to provide actionable insights. Interns typically collaborate closely with data engineers, analysts, and software developers, gaining exposure to end-to-end machine learning pipelines. This hands-on experience provides valuable learning opportunities and helps build the foundational skills needed for future roles in data science.

What are the key skills and qualifications needed to thrive as an intern data scientist machine learning, and why are they important?

To thrive as an Intern Data Scientist (Machine Learning), you need a solid understanding of statistics, programming skills (typically in Python or R), and foundational knowledge of machine learning algorithms, often supported by coursework or relevant projects. Familiarity with tools like scikit-learn, TensorFlow, Jupyter notebooks, and version control systems (e.g., Git) is commonly expected. Strong analytical thinking, curiosity, and effective communication skills help you interpret data insights and work collaboratively within a team. These abilities are crucial for translating data into actionable solutions and contributing to impactful machine learning projects.

What is the difference between Intern Data Scientist Machine Learning vs Intern Data Analyst?

AspectIntern Data Scientist Machine LearningIntern Data Analyst
Required SkillsBasic programming, statistics, machine learning conceptsData analysis, Excel, SQL, visualization tools
Work EnvironmentResearch-focused, model development, algorithm testingData cleaning, reporting, dashboard creation
Common Industry UsageTech, finance, healthcareRetail, marketing, finance

Intern Data Scientist Machine Learning roles focus on developing and testing machine learning models, requiring knowledge of algorithms and programming. Intern Data Analyst positions emphasize data cleaning, analysis, and visualization. Both roles are entry-level but differ in technical depth and project focus, catering to different career paths within data-driven industries.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Arizona?

The most popular types of Data Scientist Machine Learning jobs in Arizona are:

What are popular job titles related to Intern Data Scientist Machine Learning jobs in Arizona?

For Intern Data Scientist Machine Learning jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Intern Data Scientist Machine Learning jobs in Arizona look for?

The top searched job categories for Intern Data Scientist Machine Learning jobs in Arizona are:

What cities in Arizona are hiring for Intern Data Scientist Machine Learning jobs?

Cities in Arizona with the most Intern Data Scientist Machine Learning job openings:

Infographic showing various Intern Data Scientist Machine Learning job openings in Arizona as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 9% Part Time, 1% Temporary, and 4% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution.

Data Scientist

NucleusTeq

Phoenix, AZ • On-site

Full-time

Posted 12 days ago


Key responsibilities

  • Develop and manage project roadmaps for AI and Machine Learning-driven products to ensure timely delivery of features.

  • Lead cross-functional teams to implement AI/ML models and oversee their integration into production environments.

  • Oversee the development, testing, and deployment of AI and machine learning models, ensuring they meet performance and scalability requirements.


Job description

JOB INFORMATION

Job Title of Opening: Data Scientist

Position is for a Data Scientist (internal title: Technical Project Manager) responsible for the development of NuoData, which is an AI powered data management platform that is proprietary to NucleusTeq, Inc. Duties include, but are not limited to: Develop and manage project roadmaps for AI and Machine Learning-driven products, ensuring timely delivery of features that leverage large-scale data models and AI systems; Lead cross-functional teams of data scientists, engineers, and designers to implement AI/ML models, ensuring seamless integration into production environments; Collaborate with stakeholders to define AI/ML and data product requirements, ensuring alignment with business goals and project objectives for large-scale data solutions; Oversee the development, testing, and deployment of AI and machine learning models, ensuring that models meet performance, accuracy, and scalability requirements; Ensure effective data collection, cleaning, and transformation processes, applying best practices in data governance to ensure that AI and ML models are built on high-quality, structured data;

Continuously monitor and evaluate the performance of AI/ML models using appropriate metrics (e.g., accuracy, precision, recall, F1-score) and adjust models as needed based on

feedback and performance reports; Oversee the integration and deployment of LLMs (e.g., GPT, BERT) into products for NLP tasks such as sentiment analysis, chatbots, and customer service automation; Implement Agile Scrum or Kanban methodologies for AI/ML projects, ensuring iterative and incremental development of machine learning models, and continuous delivery of AI-driven features; Perform exploratory data analysis (EDA) on large datasets to identify trends, patterns, and insights that inform AI model development and data-driven decision-making; Act as the primary point of contact for stakeholders, providing regular updates on the progress of AI/ML projects and translating complex technical data into business friendly insights; Proactively identify and manage risks related to the deployment of AI/ML models, such as data quality issues, model performance degradation, and biases in AI algorithms; Implement monitoring frameworks to evaluate the real-world performance of AI/ML models post-deployment, ensuring models adapt and evolve based on new data and user feedback; Ensure AI/ML models comply with industry regulations and ethical guidelines, managing data privacy, bias mitigation, and transparency in model decision-making processes; Use insights from data analysis and AI models to recommend product enhancements and optimizations, leading to improved user experience and business outcomes; and provide mentorship to junior team members on AI/ML concepts, best practices for model development, and data engineering techniques.

Requires a Master's Degree in Data Analytics and 6 months of experience. Experience as a Deputy Manager is acceptable, or any suitable combination of education, training or experience thereof.

Job Site: Employee is permitted to work remotely from his or her home residence, but will at times be required to travel to various unanticipated jobsites within the United States.


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About Nucleusteq

Sourced by ZipRecruiter

NucleusTeq is a software services, solutions & products company empowering & transforming customers’ business through the use of digital technologies such as Big-Data, Analytics, Cloud, Enterprise Automation, Block-chain, Mobility etc. We are enabling several fortune 1000 clients in the USA, Canada, UK & India to navigate their digital transformation. Our mission is to empower & transform customers’ business through the use of digital technologies such as Big-Data, Analytics (AI, ML), Cloud, Enterprise Automation, Block-chain, Mobility, CRM & ERP. We are committed to enriching our colleagues and communities equally.

Industry

It services

Company size

201 - 500 Employees

Headquarters location

Phoenix, AZ, US

Year founded

2018

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