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Internship Data Science Economics Jobs in Missouri

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

(USA) Director, Data Science

Noel, MO · On-site

$130K - $260K/yr

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

(USA) Director, Data Science

Anderson, MO · On-site

$130K - $260K/yr

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

(USA) Director, Data Science

Anderson, MO · On-site

$130K - $260K/yr

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

(USA) Director, Data Science

Noel, MO · On-site

$130K - $260K/yr

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

(USA) Director, Data Science

Noel, MO · On-site

$130K - $260K/yr

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

(USA) Director, Data Science

Anderson, MO · On-site

$130K - $260K/yr

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

The Data Scientist will be an integral part of the Bunge Economic Analysis team, leveraging ... Economics, Statistics, Computer Science, Quantitative Finance, Business Analytics, or a closely ...

The Data Scientist will be an integral part of the Bunge Economic Analysis team, leveraging ... Minimum MS degree in Economics, Agricultural Economics, Statistics, Computer Science, Quantitative ...

Advanced degree in applied mathematics, statistics, computer science, econometrics, or a related field is a plus. * 7 or more years of relevant experience required. * Demonstrated expertise in data ...

The Data Scientist will be an integral part of the Bunge Economic Analysis team, leveraging ... Minimum MS degree in Economics, Agricultural Economics, Statistics, Computer Science, Quantitative ...

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ... Science, or Statistics/Math and Economics double major, or Statistics/Math and Computer Science ...

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Internship Data Science Economics information

What is an internship in data science economics?

An Internship in Data Science Economics is a temporary position that allows students or recent graduates to gain practical experience applying data science techniques to economic problems. Interns typically work on projects involving data analysis, statistical modeling, and economic research, often using programming languages like Python or R. The role helps bridge the gap between academic knowledge and real-world applications, providing valuable skills for a future career in data science or economics.

What types of projects do interns typically work on in a data science economics internship?

Interns in Data Science Economics roles often work on projects involving data analysis, economic modeling, and statistical research to support business decision-making. These projects may include analyzing large datasets to identify economic trends, building predictive models, and creating visualizations to communicate insights. Interns usually collaborate closely with both data scientists and economists, gaining exposure to real-world applications of economic theories and data-driven problem-solving. This hands-on experience helps interns develop technical and analytical skills while contributing meaningful work to the team.

What are the key skills and qualifications needed to thrive as an internship data science economics, and why are they important?

To thrive as an Internship Data Science Economics, you need a solid background in statistics, econometrics, and programming languages like Python or R, typically supported by progress toward a degree in economics, data science, or a related field. Familiarity with data analysis tools such as SQL, statistical software, and visualization platforms like Tableau is often required. Strong analytical thinking, effective communication, and the ability to collaborate in team environments help interns excel in this role. These skills are crucial for interpreting economic data, delivering actionable insights, and supporting informed decision-making within organizations.

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

AspectInternship Data Science EconomicsData Analyst Intern
Required SkillsStatistics, economics, programming (Python/R), data analysisData analysis, Excel, SQL, visualization tools
Work EnvironmentResearch-focused, economic modeling, data interpretationBusiness insights, reporting, dashboard creation
Industry UsageFinance, consulting, government, research institutionsMarketing, finance, tech companies

Internship Data Science Economics typically involves economic modeling, statistical analysis, and programming skills, often in research or policy environments. Data Analyst Internships focus on interpreting data to generate business insights, using tools like Excel and SQL. Both roles require analytical skills but differ in focus and industry applications.

What are popular job titles related to Internship Data Science Economics jobs in Missouri?

For Internship Data Science Economics jobs in Missouri, the most frequently searched job titles are:

What cities in Missouri are hiring for Internship Data Science Economics jobs?

Cities in Missouri with the most Internship Data Science Economics job openings:

(USA) Director, Data Science

Walmart

Cassville, MO • On-site

$130K - $260K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 22,573 frontline employees who took The Breakroom Quiz

25th of 39 rated national retailers


Job description

Position Summary... What you'll do...Role summary:
The (USA) Director, Data Science leads the development and execution of advanced data science strategies to drive business insights and innovation. This role oversees the design, testing, and deployment of machine learning models and analytical solutions, ensuring alignment with organizational objectives. The position requires collaboration across functions to translate complex data into actionable strategies, mentor technical teams, and promote continuous improvement. The Director also guides data quality initiatives and fosters the integration of emerging technologies to enhance decision-making and operational efficiency within the company.
About the team:
The team operates within the Merchandising Decision Sciences organization, focusing on identifying causal drivers of customer behavior to inform merchandising strategies. It develops advanced models that integrate factors such as assortment, price, inventory, channel, and asset allocation to optimize decisions. By evaluating trade-offs, interactions, and constraints, the team recommends coordinated actions that enhance overall customer and enterprise value. Leveraging expertise in machine learning, data science, and business strategy, the team drives impactful insights that support data-driven merchandising decisions aligned with organizational goals.
What you'll do:
  • Lead the development and deployment of advanced data science models to address complex business challenges and drive strategic initiatives.
  • Oversee data strategy formulation, ensuring alignment with business objectives and leveraging data assets for measurable impact.
  • Guide and mentor data science teams in coding, testing, and validating machine learning algorithms and analytical models.
  • Collaborate cross-functionally to translate business requirements into actionable data-driven solutions and insights.
  • Drive continuous improvement by evaluating model performance, scalability, and sustainability across multiple data environments.
  • Communicate findings effectively to influence decision-making and support organizational goals.

What you'll bring:
  • Experience in data science, including machine learning algorithms, optimization tools and data modeling techniques.
  • Experience in programming languages such as Python and SQL for code development and testing.
  • Experience developing business case models and  performing financial analysis.
  • Strong business acumen with the ability to translate complex data insights into actionable strategies aligned with organizational goals.
  • Expertise in data visualization tools and techniques to effectively communicate findings to variety of stakeholders.
  • Proven leadership skills in mentoring teams and driving data strategy across multiple business domains.
  • Ability to deploy, monitor, and scale analytical models ensuring sustained business impact.
At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $130,000.00 - $260,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock

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Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 6 years' experience in an analytics related field.
Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field.
Option 3: 8 years' experience in an analytics or related field Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture. Primary Location... 1601 SE 10th St, Bentonville, AR 72716, United States of America Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

What Walmart employees say

Pay

Benefits

Hours and flexibility

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About Walmart

Sourced by ZipRecruiter

From our humble beginnings as a small discount retailer in Rogers, Ark., Walmart has opened thousands of stores in the U.S. and expanded internationally. Through innovation, we're creating a seamless experience to let customers shop anytime and anywhere online and in stores. We are creating opportunities and bringing value to customers and communities around the globe. Walmart operates approximately 10,500 stores and clubs in 19 countries and eCommerce websites. We employ 2.1 million associates around the world — nearly 1.6 million in the U.S. alone.

Industry

Retail and transportation and warehousing

Company size

10,000+ Employees

Headquarters location

Bentonville, AR, US

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