Data Analyst / Data Scientist Intern

This is a fully remote position, open to applicants in Florida.

📋 Description

• Gather, organize, cleanse, and validate both structured and unstructured data.

• Detect incomplete information, inconsistencies, and duplicate entries.

• Structure datasets for analysis, reporting, and research purposes.

• Implement data quality measures and documentation practices.

• Examine datasets to uncover trends, patterns, and relationships.

• Utilize foundational statistical principles in analytical projects.

• Investigate data utilizing spreadsheets, programming languages, and analytical tools.

• Assist in research related to business operations, technology, intelligence, and national security applications.

• Interpret analytical results and convey findings to team members.

• Create dashboards, charts, graphs, and various data visualizations.

• Compile analytical reports, presentations, and research summaries.

• Maintain ongoing reports and performance metrics.

• Gain exposure to predictive analytics and machine learning concepts.

• Evaluate analytical methods or models under the guidance of experienced professionals.

• Support exploratory research related to automation, artificial intelligence, and emerging data technologies.

• Engage in technical discussions and collaborative problem-solving activities.

• Document analytical processes, methodologies, and project outcomes.

• Collaborate with data scientists, analysts, and other technical professionals.

• Assist in research and analysis for M6 business operations and government client initiatives, as permitted.

• Participate in team meetings, project discussions, and learning opportunities.

• Support additional data-related tasks based on interests, skills, and project requirements.

⛳️ Requirements

• Currently enrolled in an undergraduate program in Data Science, Computer Science, Statistics, Mathematics, Business Analytics, Information Systems, Engineering, or a related discipline.

• Basic understanding of data analysis, statistics, or quantitative problem-solving gained through coursework or academic projects.

• Foundational proficiency in Microsoft Excel or similar spreadsheet tools.

• Desire to learn programming languages and analytical tools such as Python, R, or SQL.

• Strong analytical thinking, curiosity, and problem-solving abilities.

• Good organizational skills with a keen attention to detail.

• Capacity to clearly communicate findings and work collaboratively.

• Willingness to acquire new technologies, analytical techniques, and business processes.

• Drug testing may be required for post-offer applicants and employees.

• Preferred but not mandatory: experience with Python, R, SQL, or similar programming languages.

• Preferred but not mandatory: familiarity with Power BI, Tableau, or Python visualization libraries.

• Preferred but not mandatory: coursework in statistics, data mining, machine learning, or database management.

• Preferred but not mandatory: experience handling datasets in academic projects, research, or extracurricular activities.

• Preferred but not mandatory: interest in artificial intelligence, predictive analytics, automation, or national security applications.

• Preferred but not mandatory: familiarity with Jupyter Notebook, pandas, or Git.

🏝️ Benefits

• Flexible part-time schedule that aligns with academic commitments and business needs.

• Practical technical experience.

• Professional mentorship.

• Opportunities to apply classroom knowledge to real-world challenges.

• Exposure to data science, machine learning, predictive analytics, artificial intelligence, and automation.

• Guidance on technical projects.

• Professional development in analytical writing, communication, presentation, and critical-thinking skills.

• Reasonable accommodation for applicants with disabilities.