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Internship Data Analyst Machine Learning Jobs (NOW HIRING)

Data Analyst

Manhattan, NY · On-site

$1.0K - $2.0K/yr

Familiarity with advanced data analysis techniques and machine learning algorithms. * Knowledge of database management systems and SQL. Responsibilities: * Collect, clean, and preprocess agricultural ...

Data Analyst

Anchorage, AK · On-site

$1.5K - $2.0K/yr

Familiarity with advanced data analysis techniques and machine learning algorithms. * Knowledge of database management systems and SQL. Responsibilities: * Collect, clean, and preprocess agricultural ...

Many classes and activities are shared with our Software Engineering interns, while others focus ... data. The interview process follows the same structure as our Software Engineering Intern ...

Many classes and activities are shared with our Software Engineering interns, while others focus ... data. The interview process follows the same structure as our Software Engineering Intern ...

Data, Analytics, and AI empowers business partners across Commercial, Medical, and Government ... The Machine Learning Engineer sits on the Data Science & Machine Learning Team to help the CMG ...

New

You'll transform data, develop visualizations to assist with understanding, and conduct analysis to make recommendations on data strategies to improve Machine Learning model development. Day-to-day ...

You'll transform data, develop visualizations to assist with understanding, and conduct analysis to make recommendations on data strategies to improve Machine Learning model development. Day-to-day ...

Machine Learning Engineer

Irving, TX · On-site +1

$96K - $144K/yr

... internship, or thesis in each of the following: Java, Python, or Node.js; NLP (Scikit-Learn ... Contributing to large-scale applications development, data science, or data analytics projects; and ...

Data Analyst

Mason, OH · On-site +1

They work with large datasets, employing statistical methods, data visualization techniques, and machine learning tools to uncover actionable insights. Data Analysts play a crucial role in helping ...

Machine Learning Data Engineer

Cupertino, CA · On-site

$141K - $169K/yr

Experience in data analysis, data engineering, and machine learning data operations. Experience designing data quality control processes, data curation workflows, or Human-in-the-Loop initiatives.

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How much do internship data analyst machine learning jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for internship data analyst machine learning in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.
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$1.0K - $2.0K/yr

Full-time

Posted 3 days ago


Job description

About the Role:

The Data Analyst will play a crucial role in transforming raw agricultural data into actionable insights that drive decision-making and improve operational efficiency. This position involves analyzing complex datasets to identify trends, patterns, and anomalies that can inform strategic initiatives within the agriculture sector. The successful candidate will collaborate with cross-functional teams to ensure data integrity and accuracy, enabling the organization to leverage data for enhanced productivity and sustainability. Additionally, the Data Analyst will be responsible for creating compelling visualizations and reports that communicate findings to stakeholders at all levels. Ultimately, this role is essential for fostering a data-driven culture within the organization and supporting its mission to innovate in the agricultural industry.

Minimum Qualifications:

  • Bachelor's degree in Data Science, Statistics, Agriculture, or a related field.
  • Proven experience in data analysis and data visualization tools such as Power BI and Tableau.
  • Strong proficiency in R and SAS programming languages.

Preferred Qualifications:

  • Experience in the agriculture industry or related fields.
  • Familiarity with advanced data analysis techniques and machine learning algorithms.
  • Knowledge of database management systems and SQL.

Responsibilities:

  • Collect, clean, and preprocess agricultural data from various sources to ensure high-quality datasets.
  • Utilize statistical tools and programming languages such as R and SAS to perform data analysis and generate insights.
  • Create and maintain interactive dashboards and visualizations using Power BI and Tableau to present data findings to stakeholders.
  • Collaborate with agronomists and other team members to understand data requirements and provide analytical support for ongoing projects.
  • Conduct regular data audits and implement data cleansing processes to maintain data accuracy and reliability.

Skills:

The required skills in data cleaning and data extraction are essential for ensuring that the datasets used for analysis are accurate and reliable. Proficiency in pivot tables and data visualization tools like Power BI and Tableau allows the Data Analyst to create insightful reports that effectively communicate findings to stakeholders. The use of R and SAS programming languages is critical for performing complex statistical analyses and modeling. Daily work will involve collaborating with team members to understand their data needs, which requires strong communication and problem-solving skills. Preferred skills, such as familiarity with machine learning algorithms, can enhance the analyst's ability to derive deeper insights and contribute to innovative projects.