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Data Management Intern Jobs in Missouri (NOW HIRING)

Maintain accurate donor records in Salesforce, including data entry, gift processing, and reporting ... Support grant tracking, reporting deadlines, and file management. * Provide logistical and ...

Data entry for various projects. * Preparation of trial balances. * Perform assignments within ... Excellent organizational and time management skills, with the ability to prioritize tasks and meet ...

You will work alongside our senior staff and management personnel, learning from their experience ... Work with client personnel to reconcile account differences and analyze financial data * Prepare ...

Data entry for various projects. * Preparation of trial balances. * Perform assignments within ... Excellent organizational and time management skills, with the ability to prioritize tasks and meet ...

You will work alongside our senior staff and management personnel, learning from their experience ... Work with client personnel to reconcile account differences and analyze financial data * Prepare ...

New

You will work alongside our senior staff and management personnel, learning from their experience ... Work with client personnel to reconcile account differences and analyze financial data * Prepare ...

New

$13.75 - $18.25/hr

Overview Join our growing data security company as a Marketing Design Intern. In this role, you'll ... Our data security posture management platform is engineered specifically to address modern data ...

$14.75 - $19.50/hr

Overview Join our growing data security company as a Marketing Design Intern. In this role, you'll ... Our data security posture management platform is engineered specifically to address modern data ...

Showing results 41-60

Data Management Intern information

See Missouri salary details

$8

$15

$22

How much do data management intern jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for data management intern in Missouri is $15.98, according to ZipRecruiter salary data. Most workers in this role earn between $13.51 and $18.03 per hour, depending on experience, location, and employer.

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

AspectData Management InternData Analyst Intern
Required SkillsData organization, database basics, ExcelData analysis, visualization, SQL
Work EnvironmentData repositories, database systemsReporting tools, analytics platforms
Industry UsageData storage, data governanceData insights, decision support

The Data Management Intern focuses on organizing, maintaining, and ensuring the integrity of data within databases and repositories. In contrast, the Data Analyst Intern emphasizes analyzing data to generate insights and support decision-making. Both roles often require familiarity with Excel and basic database skills, but their core responsibilities differ, with data management being more about data quality and structure, and data analysis centered on interpretation and reporting.

What are some common challenges faced by data management interns, and how can they be overcome?

Data Management Interns often encounter challenges such as learning new database systems, managing large data sets, and ensuring data accuracy. It's common to feel overwhelmed by the volume and complexity of data, especially when using unfamiliar tools or software. To overcome these challenges, interns should actively seek guidance from experienced team members, make use of documentation and training resources, and practice attention to detail when handling data. Open communication and a willingness to learn will help interns quickly adapt and succeed in their role.

What does a data management intern do?

A Data Management Intern assists with organizing, storing, and maintaining data within an organization. Their tasks often include data entry, cleaning data to ensure accuracy, supporting database management, and helping with data analysis projects. Interns may also work with teams to develop data reports and ensure that information is easily accessible and secure. This role provides valuable experience with data management tools and processes, which are essential skills in many industries.

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

To thrive as a Data Management Intern, you need a foundational understanding of data analysis, database concepts, and proficiency in spreadsheet software, typically supported by coursework in statistics or information systems. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau is often required. Strong attention to detail, organizational skills, and the ability to communicate clearly help interns manage data accurately and collaborate with team members. These skills ensure accurate data handling, support effective decision-making, and contribute to the integrity of business operations.
What are the most commonly searched types of Data Management jobs in Missouri? The most popular types of Data Management jobs in Missouri are:
What cities in Missouri are hiring for Data Management Intern jobs? Cities in Missouri with the most Data Management Intern job openings:
Infographic showing various Data Management Intern job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $33,239 per year, or $16 per hour.

Machine Learning Engineer (PhD Intern)

Instacart

Columbia, MO • On-site

Other

Re-posted 20 days ago


Instacart rating

7.1

Company rating: 7.1 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

28th of 64 rated delivery companies


Job description

We're transforming the grocery industry

At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.

Instacart is a Flex First team

There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events.

Overview

Since 2012, Instacart has been focused on making grocery delivery convenient, affordable, and accessible to everyone. We bring fresh groceries and everyday essentials to customers across the US and Canada from nearly 55,000 stores across 5,500 markets. Our mission is to create a world where everyone has access to the food they love, and to achieve that goal, we innovate in a wide range of areas including e-commerce, advertising, and fulfillment.

We use machine learning and Internet-scale data to elevate customer experience, improve efficiency, and reduce cost. As an example, we manage catalog data imported from hundreds of retailers, and we build product and knowledge graphs on top of the catalog data to support a wide range of applications including search and ads.

We are looking for talented Ph.D. students to have an internship in our fast moving team. You will have the opportunity to work on a very large scope of problems in search, ads, personalization, recommendation, fulfillment, product and knowledge graph, pricing, etc.

About the Team:

This is a general posting for multiple intern roles open across our various ML teams. You can find a blurb on each team below:

Economics Team: The Economics team at Instacart works on a range of interesting and challenging problems, from aligning the incentives in our multi-sided marketplace to analyzing the role of prices and product placement in our customers' decision-making. Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference.

Search & Discovery ML: The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search technology at Instacart. They collaborate on building models that enhance relevance of all shopping surfaces, ranking, and personalization, delivering highly relevant results to users across the Instacart ecosystem. As part of the Search and Discovery ML team, you'll work on one of the most critical aspects of the business, helping customers connect with the right products. We are passionate about solving large-scale search challenges and creating innovative solutions that elevate the customer experience. (Recent publications 1, 2, 3, 4, 5).

Content AI Team: The Content AI team at Instacart works alongside world-class engineers, data scientists, and product managers to advance generative AI, recommendations, and catalog intelligence in grocery ecommerce. We build cutting-edge AI models that power real-time recommendations, feed ranking, and automated content generation, ensuring high-quality and engaging customer experiences. Beyond recommendations, we leverage generative AI and LLMs to enhance and enrich Instacart’s catalog, driving AI-powered product understanding and content creation at scale. As part of Content AI, you'll work on high-impact AI solutions, applying LLMs, agentic systems, and computer vision to tackle complex challenges. We are passionate about pushing the boundaries of generative AI to shape the future of ecommerce. If you're excited about building state-of-the-art AI systems, we’d love to have you on board!

Past internship contributions include:

Tensor-based complementary recommendations, published at IEEE Big Data 2021 (Paper) Enhancing sequence-based recommendations for long-tail products (Blog)

About the Job

Based on your passion and background, you may choose to work in a few different areas:

  • Query understanding - Using cutting-edge NLP technologies to understand the intent of user queries.
  • Search relevance and ranking - Improving search relevance by incorporating signals from various sources.
  • Ads quality, pCTR, etc. - Improving ads revenue and ROAS.
  • Knowledge graphs - Working on graph data management and knowledge discovery, and creating a natural language interface for data access.
  • Fraud detection and prevention - Using cost sensitive learning to reduce loss.
  • Pricing - Estimating willingness-to-pay, and optimizing revenue and user experience.
  • Logistics - Optimization in a variety of situations, including supply/demand prediction, last mile delivery, in-store optimization, etc.

About You

Minimum Qualifications:

  • Ph.D. student in computer science, mathematics, statistics, economics, or related areas.
  • Strong programming (Python, C++) and algorithmic skills.
  • Good communication skills. Curious, willing to learn, self-motivated, hands-on.

Preferred Qualifications:

  • Ph.D. student at a top tier university in the United States
  • Prior internship/work experience in the machine learning space

Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here.

Offers may vary based on many factors, such as candidate experience and skills required for the role.


What Instacart employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Instacart logo

About Instacart

Sourced by ZipRecruiter

Instacart, based in San Francisco, CA, US, operates within the retail industry, specifically grocery delivery and pick-up service. It is recognized as a pioneer in this field, delivering fresh groceries from local stores directly to customers' doors. The company, which launched its services in 2012, continues to pioneer change in the online grocery shopping sector through its commitment to cutting-edge technology, new business ideas, and dedicated service.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

2012