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Data Science Jobs in Miami, OK (NOW HIRING)

Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics ...

(USA) Staff, Data Scientist

Anderson, MO · On-site

$110K - $220K/yr

As a Staff Data Scientist at Walmart, you will leverage Computer Vision algorithms, Generative AI ... MS or (preferably) PhD in Computer Science, Machine Learning, Computer Vision, Applied Mathematics ...

YOUR ROLE Own the full data science engine for a priority vertical, from business problem to deployed model to live ROAS performance, driving measurable revenue and media efficiency. This is a hands ...

Manager, Workforce Planning

Anderson, MO · On-site

$80K - $155K/yr

This role partners across Operations, Product, Finance, Marketing, Data Science, Business Analytics, and Workforce Management to transform complex business signals into actionable forecasts that ...

As part of People Product, we partner across People, Product, Design, Engineering, and Data Science to solve complex challenges at enterprise scale. We use AI, data, and human-centered design to ...

The platform will enable product, engineering, data science, and business teams to conduct what-if analyses, evaluate strategies, test algorithms and policies, and estimate customer, operational, and ...

Lead enterprise‑scale analytics and data science programs across Supplier to Serve and retail finance operations * Develop predictive, diagnostic, and forensic analytics to identify leakage ...

Position Summary The Data Analyst collaborates with business users to create report specifications ... Bachelor's degree in computer information systems, computer science, or in a science technology ...

Showing results 41-60

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 Aug 15, 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.

Is a data scientist in high demand?

Yes, 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 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 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 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.

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 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 71% Full Time, and 29% Part Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $102,937 per year, or $49.5 per hour.

(USA) Senior Manager, Data Science (AI Technical Lead) - Next-Gen Customer Engagement & Returns

Walmart

Anderson, MO • On-site

$110K - $220K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 22,421 frontline employees who took The Breakroom Quiz

25th of 39 rated national retailers


Job description

Position Summary...The Vision: Rewiring the Omni-Channel Experience with AI The world of retail is undergoing a massive paradigm shift, and AI is at the helm. At the intersection of consumer behavior and complex supply chain logistics lies one of the biggest challenges—and opportunities—in the industry: Omni-Channel Returns. The Customer Engagement Services team is building an autonomous, intelligent ecosystem that doesn't just process returns; it predicts, personalizes, and prevents friction. We are moving beyond reactive dashboards to deploy Agentic AI and Causal Machine Learning systems capable of digesting multi-modal data, diagnosing root causes of customer pain points, and triggering real-time, personalized interventions.
We are seeking a Senior Manager, Data Science to serve as the Technical Lead and visionary for this initiative. You are a high-impact player-coach who thrives at the bleeding edge of AI but demands rigorous software engineering standards. You won't just build models; you will architect the intelligent systems that redefine how we interact with our customers. What you'll do...
  • Architect Autonomous AI Systems: Design the end-to-end algorithmic framework for our proactive returns intelligence agent. You will fuse Causal Inference, Deep Learning, and Large Language Models (LLMs) to analyze structured transaction data alongside unstructured customer feedback, chat logs, and product reviews.
  • Lead the Transition from Insight to Action: Spearhead the application of Causal AI to understand the "why" behind return behaviors. You will move the team beyond simple correlation to answer counterfactuals (e.g., "If we offer a 15% discount right now, will it save the sale and the customer relationship?").
  • Drive Engineering Excellence: Act as the ultimate gatekeeper for the AI codebase. You will mentor a team of brilliant Data Scientists, elevating their engineering maturity from local "notebook scripts" to scalable, modular, and deployable production packages. You will enforce strict version control (Git), conduct rigorous code reviews, and mandate comprehensive unit/integration testing.
  • Pioneer ML & GenAI Observability: The real world is chaotic. You will design state-of-the-art MLOps and monitoring frameworks to track real-time model performance, data drift, and LLM hallucination rates. You ensure our AI agents adapt dynamically as consumer trends and macroeconomic factors shift.
  • Strategic Technical Leadership: Translate highly ambiguous business objectives ("Reduce omni-channel friction") into concrete, executable AI roadmaps. You will bridge the gap between complex algorithmic concepts and executive business strategy.
  • Hands-On Innovation: Roll up your sleeves. You will write high-performance, fault-tolerant Python and PySpark code for the most complex, mission-critical components of our recommendation engines.

What you'll bring:
The Tech Stack & Expertise, AI, Machine Learning & Analytics
  • Advanced Modeling: Deep expertise in time-series forecasting, anomaly detection, and modern predictive modeling.
  • Causal Inference & Experimentation: Proven ability to apply causal frameworks (e.g., Do-calculus, causal impact, propensity matching) to observational data to isolate exact friction points in the return journey.
  • NLP & GenAI: Experience leveraging Natural Language Processing and LLMs to extract sentiment and actionable features from unstructured customer engagement data.

Software Engineering & Big Data Architecture
  • Core Stack: Expert-level fluency in Python and SQL.
  • Distributed Computing: Strong hands-on architecture experience with PySpark and handling massive, petabyte-scale datasets.
  • Engineering Rigor: You don't merge code without tests. Extensive experience with Unit/Integration Testing (pytest) and advanced Git management (branching strategies, CI/CD pipeline integration, conflict resolution).

Leadership & MLOps (Preferred Qualifications)
  • Model Deployment: Experience with Docker/Kubernetes for containerized model serving, and familiarity with cloud infrastructure (GCP, or AWS) to optimize compute resources for heavy AI workloads.
  • Mentorship: A proven track record of upskilling technical teams, setting coding standards, and fostering a culture of continuous innovation.
  • Education: Advanced degree (MS/PhD) in a quantitative field (Computer Science, Statistics, Operations Research, Economics, etc.).
The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.   Your Career Journey at Walmart: At Walmart, we want to make sure your experience connecting with us is seamless and straightforward. Here’s what to expect when interacting with us as recruiters:   We’ll reach out via verified LinkedIn profiles or emails ending in "@walmart.com.” or “@samsclub.com”. All job opportunities and applications are hosted on our official careers site: http://careers.walmart.com. There is no cost or payment required to apply or be considered for a position.   If you have any doubts about a communication, feel free to visit our careers page to verify authenticity. Thank you for exploring opportunities at Walmart! 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 $110,000.00 - $220,000.00 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, 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... 805 Respect, 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

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Benefits

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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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