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Data Curation Ai Machine Learning Jobs in Arkansas

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...

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Data Curation Ai Machine Learning information

What is a data curation AI machine learning specialist?

A Data Curation AI/Machine Learning specialist is a professional who manages, organizes, and prepares large datasets to be used in artificial intelligence and machine learning projects. They ensure that data is accurate, relevant, and accessible, often cleaning and labeling data so it can be effectively used to train machine learning models. Their role bridges the gap between raw data sources and the teams building AI solutions, enabling more reliable and efficient model development. They may also work with data governance, privacy, and compliance issues to ensure data quality and security.

What are the key skills and qualifications needed to thrive as a data curation AI machine learning specialist?

To thrive as a Data Curation AI Machine Learning Specialist, you need strong data management skills, a background in computer science or data science, and experience with machine learning principles. Familiarity with programming languages like Python or R, data labeling tools, and database systems, as well as certifications in machine learning or data engineering, are typically required. Attention to detail, critical thinking, and effective communication stand out as essential soft skills for managing complex datasets and collaborating with cross-functional teams. These skills ensure high-quality, well-organized data that drives accurate machine learning models and reliable AI outcomes.

What are some common challenges faced by data curation professionals working in AI and machine learning projects?

One of the key challenges data curation specialists encounter in AI and machine learning is ensuring the quality and consistency of large, diverse datasets. This often involves dealing with missing, incomplete, or biased data, which can impact model performance. Additionally, data curators must navigate evolving data privacy regulations and work closely with data scientists, engineers, and domain experts to align data preparation with project goals. Effective communication and a meticulous approach are crucial for maintaining data integrity and supporting robust machine learning outcomes.

What is the difference between Data Curation Ai Machine Learning vs Data Analyst?

AspectData Curation Ai Machine LearningData Analyst
Primary FocusPreparing and managing data for AI and ML modelsAnalyzing data to generate business insights
Skills RequiredData management, programming, understanding of AI/ML algorithmsStatistical analysis, data visualization, Excel, SQL
Tools UsedPython, R, SQL, data cleaning toolsExcel, Tableau, SQL, statistical software
Work EnvironmentData science teams, AI/ML projects, tech companiesBusiness departments, analytics teams, consulting firms

While Data Curation Ai Machine Learning specialists focus on preparing data for AI and machine learning models, Data Analysts interpret data to support business decisions. Both roles require strong data skills but differ in their primary objectives and tools used.

What are popular job titles related to Data Curation Ai Machine Learning jobs in Arkansas?

For Data Curation Ai Machine Learning jobs in Arkansas, the most frequently searched job titles are:

What job categories do people searching Data Curation Ai Machine Learning jobs in Arkansas look for?

The top searched job categories for Data Curation Ai Machine Learning jobs in Arkansas are:

What cities in Arkansas are hiring for Data Curation Ai Machine Learning jobs?

Cities in Arkansas with the most Data Curation Ai Machine Learning job openings:

Data Scientist III - Fraud Analytics & Machine Learning

Sam's Club

Pea Ridge, AR • On-site

Full-time

Posted 10 days ago


Sam's Club rating

6.4

Company rating: 6.4 out of 10

Based on 2,016 frontline employees who took The Breakroom Quiz

17th of 39 rated national retailers


Job description

Position Summary... What you'll do...Fraud Analytics & Machine Learning | Walmart Global Tech Help Shape the Future of Retail Intelligence

Every day, millions of customers trust Walmart to deliver a seamless shopping experience. Behind that experience is one of the world's largest and most sophisticated commerce ecosystems—and protecting it from fraud requires exceptional data scientists.

As a Data Scientist III on the Inkiru Data Science team, you'll transform billions of data points into intelligent solutions that identify fraud, reduce risk, and protect both customers and the business. You'll partner with engineers, product managers, and business leaders to build analytics and machine learning solutions that directly influence decisions at global scale.

If you're energized by solving complex problems, uncovering meaningful insights, and seeing your work deployed into production, we'd love to meet you.

Why This Role Matters

Fraud evolves every day—and so do we.

Our team combines advanced analytics, statistical modeling, machine learning, and AI to stay ahead of emerging threats while delivering a seamless experience for customers and associates.

Your work won't sit in a report.

It will power real products, influence strategic decisions, and help protect one of the largest retailers in the world.

What You'll Do

You'll make an impact by:

  • Detecting emerging fraud trends using large-scale behavioral, transactional, and operational data.

  • Building analytical models that improve fraud detection, risk management, and business decision-making.

  • Creating intuitive dashboards and visualizations that help leaders quickly understand key business metrics.

  • Partnering closely with Product, Engineering, Data Science, and Business teams to bring analytical solutions into production.

  • Exploring new analytical techniques—including machine learning and AI—to solve evolving business challenges.

  • Improving data quality through validation, governance, and scalable analytical processes.

  • Communicating complex findings through compelling storytelling that drives action.

What You'll Work With

You'll leverage modern technologies including:

  • Python

  • SQL

  • Spark

  • Hive

  • BigQuery

  • Distributed computing platforms

  • Tableau

  • Power BI

  • Machine Learning frameworks

  • Cloud-scale analytics platforms

  • AI-assisted analytics and modern data science workflows

Why You'll Love This Team

You'll join a collaborative team that values curiosity, experimentation, and continuous learning.

Here you'll have opportunities to:

  • Solve problems at one of the largest scales in retail.

  • Work with experienced data scientists and machine learning engineers.

  • Influence product strategy with data-driven insights.

  • Build solutions that move from concept into production.

  • Learn new technologies while working on meaningful business challenges.

  • Grow your career through mentorship, leadership opportunities, and cross-functional collaboration.

What Success Looks Like

Within your first year, you'll:

  • Deliver analytical solutions that influence fraud strategy.

  • Build trusted relationships across Product, Engineering, and Business teams.

  • Create scalable dashboards and reporting used by leadership.

  • Improve fraud detection through innovative analytical approaches.

  • Contribute to production-ready data science solutions that create measurable business value.

What You'll Bring

We're looking for someone who combines technical excellence with curiosity and business acumen.

Preferred qualifications include:

  • Strong analytical and statistical problem-solving skills.

  • Experience working with large, complex datasets.

  • Proficiency in SQL and Python (R is also welcome).

  • Experience with distributed computing technologies such as Spark, Hive, or BigQuery.

  • Familiarity with data visualization tools including Tableau, Power BI, or Looker.

  • Ability to communicate technical concepts clearly to both technical and non-technical audiences.

  • Passion for solving ambiguous problems using data.

  • Bachelor's degree in a STEM field with 3+ years of relevant experience, or a Master's degree with 1+ years of experience.

Bonus Points If You Have
  • Experience in fraud analytics, financial risk, cybersecurity, or trust and safety.

  • Experience building or deploying machine learning models.

  • Knowledge of experimentation, causal inference, or advanced statistical techniques.

  • Experience with Generative AI, LLMs, or AI-assisted analytics.

  • Experience working in cloud-native data environments.

Why Walmart Global Tech

Technology is reshaping how the world shops.

At Walmart Global Tech, you'll help solve problems that few companies can match in complexity or scale. Our teams build products and platforms that serve millions of customers, associates, and suppliers every day.

Here, your work has immediate impact.

You'll have access to world-class data, modern technologies, and talented teammates—all while helping build the future of retail.

Whether your passion is analytics, machine learning, artificial intelligence, or data engineering, you'll find opportunities to learn, innovate, and grow your career.

‎ 

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 2 years' experience in an analytics or related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 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, Master’s degree 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, 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... 2101 Se Simple Savings Dr, Bentonville, AR 72712-4304, 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.

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