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Data Science Analyst Intern Jobs in Tennessee (NOW HIRING)

This key role within Decision Science & Analytics will lead the ongoing development and execution ... Identify and implement proper data preparation and feature engineering methods, such as outlier ...

New

The ideal candidate is a highly analytical and technically sophisticated professional with deep expertise in data science methodologies, machine learning model development, and statistical analysis ...

The ideal candidate is a highly analytical and technically sophisticated professional with deep expertise in data science methodologies, machine learning model development, and statistical analysis ...

The ideal candidate is a highly analytical and technically sophisticated professional with deep expertise in data science methodologies, machine learning model development, and statistical analysis ...

This key role within Decision Science & Analytics will lead the ongoing development and execution ... Identify and implement proper data preparation and feature engineering methods, such as outlier ...

Bachelor's degree in Business Analytics, Data Science, Operations Research, Mathematics, Statistics, or related field (or equivalent certification). * 3+ years of hands-on experience in data science ...

Bachelor's degree in Business Analytics, Data Science, Operations Research, Mathematics, Statistics, or related field (or equivalent certification). * 3+ years of hands-on experience in data science ...

The intern's primary project will be the development of a semi-automated image analysis tool for ... Contribute to UI improvements for usability and reproducibility in scientific data workflows.

The intern's primary project will be the development of a semi-automated image analysis tool for ... Contribute to UI improvements for usability and reproducibility in scientific data workflows.

Showing results 21-40

Data Science Analyst Intern information

What does a data science analyst intern do?

A Data Science Analyst Intern assists with analyzing large datasets to uncover patterns, trends, and insights that support business decisions. They typically work alongside data scientists and analysts to clean, organize, and visualize data, as well as help build and test predictive models. Interns may also assist in preparing reports and presentations that communicate findings to stakeholders. This role provides hands-on experience with data analysis tools and techniques, and is a valuable stepping stone for a career in data science.

What are some typical projects or tasks that a data science analyst intern might work on during their internship?

As a Data Science Analyst Intern, you can expect to work on projects such as cleaning and analyzing large datasets, building and testing predictive models, and creating visualizations to communicate findings to stakeholders. Interns often collaborate closely with data scientists, engineers, and business analysts, gaining exposure to real-world data challenges and learning how to apply statistical and machine learning techniques. The role usually involves using tools like Python, R, and SQL, and you may also have opportunities to present your work to different teams, helping you develop both technical and communication skills.

What are the key skills and qualifications needed to thrive as a data science analyst intern, and why are they important?

To thrive as a Data Science Analyst Intern, you need a solid grasp of statistics, data analysis, and programming languages such as Python or R, typically supported by coursework or a degree in a quantitative field. Familiarity with data visualization tools like Tableau, SQL databases, and version control systems (e.g., Git) is often required. Problem-solving ability, attention to detail, and strong communication skills help interns effectively interpret data and share insights with team members. These skills are crucial for transforming raw data into actionable business insights and supporting data-driven decision-making.

What is the difference between Data Science Analyst Intern vs Data Analyst Intern?

AspectData Science Analyst InternData Analyst Intern
Required SkillsBasic programming, statistical analysis, data visualizationData manipulation, Excel, basic SQL
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing sectors
Typical Duration3-6 months internship3-6 months internship

The Data Science Analyst Intern role focuses on applying statistical and programming skills to analyze complex data sets, often involving machine learning and predictive modeling. In contrast, Data Analyst Interns primarily handle data cleaning, reporting, and visualization to support business decisions. Both roles are entry-level, require similar foundational skills, and are common in tech and business industries. Understanding these differences helps candidates target their applications effectively.

What cities in Tennessee are hiring for Data Science Analyst Intern jobs?

Cities in Tennessee with the most Data Science Analyst Intern job openings:

Sr. Revenue Science Analyst

Federal Express Corporation

Collierville, TN • On-site

Full-time

Re-posted 5 days ago


Job description

Under minimum supervision, assumes lead roles in medium revenue threshold projects. Key contributor to analyze business problems of up to medium complexity. Generates computer aided quantitative and statistical business analysis by leveraging advanced tools and scientific modeling approaches related to customer analytics, market analysis and forecasting in support of the organization's global strategies. Assists in synthesizing analytical views from various business dimensions in support of business decisions based on business plans, actual or forecast enterprise performance, products, channels, automation types, industry, competition, market and customer segments. Determines go-to market tactics related to specific target customers, markets and products in term of marketing communication and sales calls. Typically works in tandem with peers from other groups. Independently attends cross-functional meetings and discussions to understand analytical requirements across enterprise business functions. Demonstrates excellence in computer aided decision support (utilize computer languages or packages to analyze data and generate reports, presentations or insights in business, mathematics, economics, computer science, or other quantitative field such as engineering/operation research) and programming languages (e.g. SAS, SQL, Python, C, VB.net, Java, JavaScript or R), relational databases (e.g. Teradata, Oracle) or visualizations tools (e.g. PowerBI, Tableau, Spotfire). Mentors and trains professionals in less senior positions within the team on quantitative data analysis. Provides updates and reports to upper management (typically within the department).

Requirements

Master's degree in business, mathematics, economics, computer science, or other quantitative fields such as engineering/operations research plus 2 years of experience in the job offered or 2 years of work experience in business, mathematics, economics, computer science, or other quantitative fields such as engineering/operations research, in an analytical, quantitative or technical role. Alternatively the employer will accept a Ph.D. degree in business, mathematics, economics, computer science, or other quantitative fields such as engineering/operations research. The position requires experience with: (skills can be gained through education or experience): Data analytics and data mining; Revenue analysis; Competitive Strategy and Customer Segmentation.  

One (1) year of experience or coursework with the following skills (skills can be gained concurrently with education): computer-aided decision support (utilize computer languages or packages to analyze data and generate reports, presentation or insights in business, mathematics, economics, computer science or other quantitative field such as engineering/operations research), or any programming language (e.g. SAS, SQL, Python, C, VB.net, Java, JavaScript or R), relational databases (e.g. Teradata, Oracle) or visualizations tools (e.g. PowerBI, Tableau, Spotfire). Strong human relations, communications and analytical skills. Directly related advanced degrees may offset experience requirements. This position will be hybrid in Collierville, TN and candidates must live withina 50-mile radius. This position is hybrid, meaning that employees will be required to work at a FedEx office location up to several times per week.

EEO Statement

Federal Express Corporation is an Equal Opportunity Employer including, Vets/Disability. 

Reasonable accommodations are available for qualified individuals with disabilities throughout the application process. Applicants who require reasonable accommodations in the application or hiring process should contact recruitmentsupport@fedex.com.

Applicants have rights under Federal Employment Laws:

  • Know Your Rights
  • Pay Transparency
  • Family and Medical Leave Act (FMLA)
  • Employee Polygraph Protection Act


E-Verify Program Participant: Federal Express Corporation participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program:

  • E-Verify Notice (bilingual)
  • Right to Work Notice (English) / (Spanish)