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Data Science Jobs in Miami, OK (NOW HIRING)

PhD in AI, Machine Learning, Computer Science, Information Technology, Statistics, Applied ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

(USA) Staff, Data Scientist

Anderson, MO · On-site

$110K - $286K/yr

The Data Science function develops advanced models and AI/ML capabilities to strengthen the intelligence layer within Payments & Financial Services. Operating in a fast-paced, high-impact environment ...

Own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust model monitoring workflows for model lifecycle management * Can develop and maintain scalable MLOps ...

PhD in AI, Machine Learning, Computer Science, Information Technology, Statistics, Applied ... Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer ...

We empower team members, stores, and merchants by leveraging data science and advanced analytics across various categories, including groceries, entertainment, and sporting goods. Key focus areas ...

Staff, Data Scientist

Anderson, MO · On-site

$110K - $220K/yr

PhD in AI, Machine Learning, Computer Science, Information Technology, Statistics, Applied ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Collaborate with stakeholders to translate business requirements into actionable data science initiatives and communicate findings effectively. * Mentor team members on advanced analytics techniques ...

(USA) Senior, Data Analyst

Anderson, MO · On-site

$74K - $94K/yr

Collaborating closely with Product, Engineering, Data Science, and Risk Operations, the team analyzes fraud trends, assesses impacts, and develops balanced recommendations that aligns with ...

(USA) Senior, Data Analyst

Anderson, MO · On-site

$74K - $94K/yr

Collaborating closely with Product, Engineering, Data Science, and Risk Operations, the team analyzes fraud trends, assesses impacts, and develops balanced recommendations that align with account ...

(USA) Staff, Data Scientist

Anderson, MO · On-site

$110K - $220K/yr

Mentor team members on best practices in data science methodologies and coding standards. What you'll bring: * Proven expertise in predictive analytics, machine learning algorithms, and advanced ...

Showing results 21-40

Data Science information

See Miami, OK salary details

$31.4K

$102.9K

$164.8K

How much do data science jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data science in Miami, OK is $102,937.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,600.00 and $114,100.00 per year, depending on experience, location, and employer.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What cities near Miami, OK are hiring for Data Science jobs?

Cities near Miami, OK with the most Data Science job openings:

Infographic showing various Data Science job openings in Miami, OK as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $102,937 per year, or $49.5 per hour.

(USA) Principal, Data Scientist

Walmart

Anderson, MO • On-site

$110K - $220K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 27 days ago


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 22,607 frontline employees who took The Breakroom Quiz

25th of 39 rated national retailers


Job description

Position Summary... What you'll do...We are seeking a Principal Data Scientist to provide technical leadership and long‑term vision for next‑generation AI systems and platforms. This senior individual contributor will drive breakthrough system design and advanced solution development that transforms Walmart at scale. The role combines deep technical expertise (ML, simulation, optimization, agentic AI) with cross‑functional influence, mentoring of senior talent, and delivery of high‑impact, productionized solutions. 
You will be a great fit if: - You architect end-to-end ML/AI systems — from feature engineering through production deployment and monitoring - You’ve built and shipped multiple autonomous AI agents (not just experimented with LLM APIs) - You’re Level 5+ on Steve Yegge’s Vibe Coding scale and can ship production systems through AI-assisted development - You combine deep statistical rigor with practical business impact 
 About the Team 
The Associate AI Experiences team applies advanced data science, machine learning, and agentic AI to solve high-impact business problems across Walmart globally. You’ll build production Agentic systems, deploy autonomous AI agents, and translate complex data into actionable insights that drive measurable business value at massive scale. 
Our team builds intelligent platforms, agents and ML-powered solutions that make associates’ jobs easier, faster, and more fulfilling across stores, fulfillment centers, distribution centers, and home office. We leverage the Element LLM Gateway to safely access state-of-the-art language models while keeping all data within Walmart’s network. Our work spans NLP, computer vision, time series forecasting, and multi-agent AI systems at enterprise scale.   What You’ll Do

  • Build and deploy production ML systems end-to-end: data pipelines, feature stores, model training, serving layers, monitoring, and feedback loops at scale 

  • Provide technical visionand lead advanced development in agentic AI, reinforcement learning, and simulation.  

  • Architect and deploy large-scale AI systems and autonomous AI agents — conversational assistants, predictive agents with tool-calling, and multi-agent orchestration systems using LangChain, Pydantic AI, and RAG patterns 

  • Design agentic evaluation frameworks that benchmark agent performance across task completion, code quality, and multi-step reasoning accuracy 

  • Deploy NLP pipelines at enterprise scale — semantic similarity across millions of records using BERT/SBERT embeddings and vector search (FAISS) 

  • Lead high-impact projects end-to-end; problem framing, modeling, prototyping, production architecture, and rollout.  

  • Author and review technical designs and standards; present findings to senior leadership. 

  • Mentor senior scientists and engineers on advanced modeling techniques, feature engineering, and experimentation design - raising the technical bar across teams. 

  • Establish best practices for model validations, experiemention, and safe deployment of AI systems.  

  • Influence roadmap prioritization and long-term strategy for AI and simulation capabilities.  

  • Present insights to senior leadership with compelling data visualization, quantified business impact, and clear confidence intervals. 
What You’ll Bring

  • Deep expertise in ML algorithms (XGBoost, CatBoost, LightGBM, Random Forest, AutoML) and deep learning (PyTorch, transformer architectures). 

  • Production experience with NLP (BERT, SBERT, FAISS, RAG), computer vision (YOLO, CLIP), and time series forecasting (ARIMA, Prophet). 

  • Hands-on experience building and orchestrating multiple AI agents with LangChain, RAG, tool integration, and memory management. 

  • Multi-cloud ML platform proficiency — AWS SageMaker AND GCP (Vertex AI, BigQuery, BigQuery ML). 

  • Strong Python skills (Pandas, NumPy, Scikit-learn) with containerization (Docker) and MLOps practices. 

  • Advanced statistical analysis, experiment design, and causal inference 

  • Experience deploying production-grade AI systems at scale.  

  • Ability to translate complex analytical results into clear business recommendations for non-technical stakeholders. 
Minimum Qualifications

  • Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field AND 5+ years’ experience in data science or Machine Learning roles with demonstrated impact.  
Preferred Qualifications

  • PhD in AI, Machine Learning, Computer Science, Information Technology, Statistics, Applied Mathematics, Econometrics, or related field with relevant industry experience. 
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.
Bentonville, Arkansas US-09050: The annual salary range for this position is $110,000.00 - $220,000.00
Bellevue, Washington US-11663: The annual salary range for this position is $132,000.00 - $264,000.00
Sunnyvale, California US-11349: The annual salary range for this position is $143,000.00 - $286,000.00 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 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 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, Publications or active peer reviewer in related journals or conference, 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... 805 Se Moberly Ln., Bentonville, AR 72712, 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

Workplace

Get the full story on Breakroom


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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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