1

Senior Data Scientist Machine Learning Jobs (NOW HIRING)

Senior, Data Scientist

Milpitas, CA · On-site

$117K - $234K/yr

As a Senior Data Scientist (Machine Learning Engineer) on the Catalog Data Quality team, you will collaborate with other Data Scientists and ML Engineers to develop, deploy, and scale machine ...

Senior, Data Scientist

Sunnyvale, CA · On-site

$117K - $234K/yr

As a Senior Data Scientist (Machine Learning Engineer) on the Catalog Data Quality team, you will collaborate with other Data Scientists and ML Engineers to develop, deploy, and scale machine ...

Senior, Data Scientist

Mountain View, CA · On-site

$117K - $234K/yr

As a Senior Data Scientist (Machine Learning Engineer) on the Catalog Data Quality team, you will collaborate with other Data Scientists and ML Engineers to develop, deploy, and scale machine ...

Senior, Data Scientist

San Jose, CA · On-site

$117K - $234K/yr

As a Senior Data Scientist (Machine Learning Engineer) on the Catalog Data Quality team, you will collaborate with other Data Scientists and ML Engineers to develop, deploy, and scale machine ...

Senior, Data Scientist

San Mateo, CA · On-site

$117K - $234K/yr

As a Senior Data Scientist (Machine Learning Engineer) on the Catalog Data Quality team, you will collaborate with other Data Scientists and ML Engineers to develop, deploy, and scale machine ...

Senior, Data Scientist

Fremont, CA · On-site

$117K - $234K/yr

As a Senior Data Scientist (Machine Learning Engineer) on the Catalog Data Quality team, you will collaborate with other Data Scientists and ML Engineers to develop, deploy, and scale machine ...

Senior Data Scientist AI for Science, Research Intelligence & Knowledge Discovery Build AI That ... Design, develop, and deploy advanced machine learning, NLP, retrieval, and generative AI solutions ...

Senior Data Scientist AI for Science, Research Intelligence & Knowledge Discovery Build AI That ... Design, develop, and deploy advanced machine learning, NLP, retrieval, and generative AI solutions ...

Senior Data Scientist AI for Science, Research Intelligence & Knowledge Discovery Build AI That ... Design, develop, and deploy advanced machine learning, NLP, retrieval, and generative AI solutions ...

Senior Data Scientist AI for Science, Research Intelligence & Knowledge Discovery Build AI That ... Design, develop, and deploy advanced machine learning, NLP, retrieval, and generative AI solutions ...

... Senior Data Scientist, International will be responsible for implementing, training and testing ... Implement, train, and evaluate machine learning models using Python and AWS SageMaker. * Develop ...

This KPI-driven team leverages Machine Learning (ML) to deliver personalized experiences. The role involves building end-to-end solutions, collaborating with data scientists and engineers, and ...

Data Scientist / Senior Data Scientist We are seeking a highly skilled Data Scientist with strong experience in Generative AI, traditional Machine Learning, and ML Ops. The ideal candidate will have ...

next page

Showing results 1-20

Senior Data Scientist Machine Learning information

See salary details

$41.5K

$142.5K

$201K

How much do senior data scientist machine learning jobs pay per year?

As of Jun 29, 2026, the average yearly pay for senior data scientist machine learning in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

Age is not a barrier to becoming a senior data scientist or entering data science roles. Success depends on skills, experience, and continuous learning, such as mastering machine learning tools and programming languages like Python or R. Many professionals transition into data science later in their careers and achieve senior positions through relevant training and project experience.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or features. Senior Data Scientists often use this concept to prioritize data cleaning, feature selection, and model tuning to improve efficiency and model performance.

How does a Senior Data Scientist specializing in Machine Learning typically collaborate with cross-functional teams?

Senior Data Scientists in Machine Learning often work closely with product managers, software engineers, and business analysts to understand project goals and translate them into actionable data solutions. They are responsible for communicating complex technical concepts to non-technical stakeholders, ensuring that ML models align with business objectives. Collaboration frequently involves participating in regular strategy meetings, reviewing data pipelines with engineering teams, and providing insights that guide product development. This cross-disciplinary teamwork is essential for successfully deploying machine learning models into production environments.

What are the key skills and qualifications needed to thrive as a Senior Data Scientist in Machine Learning, and why are they important?

To thrive as a Senior Data Scientist in Machine Learning, you need advanced expertise in statistics, programming (Python or R), and machine learning algorithms, typically backed by a relevant degree (such as in computer science or mathematics) and several years of experience. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and cloud platforms (AWS, GCP, or Azure), as well as experience with big data technologies, is essential. Strong problem-solving, communication, and project leadership skills help drive impactful solutions and foster collaboration across teams. These skills ensure the successful design, deployment, and scaling of machine learning models that deliver business value.

Which is better, DS or CS?

For a Senior Data Scientist Machine Learning role, both Data Science (DS) and Computer Science (CS) backgrounds are valuable, but DS emphasizes statistical analysis, data modeling, and machine learning techniques, while CS focuses on algorithms, software development, and systems. The choice depends on the specific job requirements; roles often require knowledge of programming languages like Python or R, and familiarity with machine learning frameworks. Having skills in both areas can be advantageous for advanced data science positions.

What is the difference between Senior Data Scientist Machine Learning vs Data Scientist?

AspectSenior Data Scientist Machine LearningData Scientist
Required CredentialsMaster's or PhD in CS, Statistics, or related field; experience with ML frameworksBachelor's or Master's in relevant field; foundational knowledge of data analysis
Work EnvironmentAdvanced analytics teams, R&D, product developmentData analysis teams, business intelligence, reporting
Employer & Industry UsageTech companies, finance, healthcare, e-commerceSimilar industries, often entry to mid-level roles

The main difference is that Senior Data Scientist Machine Learning roles require more experience, advanced skills in ML frameworks, and often involve leading projects. Data Scientists typically focus on data analysis and reporting with less emphasis on complex ML models. Senior roles also tend to involve mentorship and strategic input.

What does a Senior Data Scientist specializing in Machine Learning do?

A Senior Data Scientist in Machine Learning leads the development, implementation, and optimization of advanced statistical and machine learning models to solve business problems. They analyze large, complex datasets, design predictive algorithms, and collaborate with cross-functional teams to integrate models into production systems. Additionally, they mentor junior data scientists, contribute to setting technical strategy, and often communicate findings to stakeholders to drive data-driven decision-making.

Is ML a high paying job?

Senior Data Scientist Machine Learning roles are generally well-paid due to the specialized skills required, such as expertise in algorithms, programming, and data analysis. Salaries often reflect experience, industry, and location, with many positions offering competitive compensation packages compared to other data-related roles.
More about Senior Data Scientist Machine Learning jobs
What cities are hiring for Senior Data Scientist Machine Learning jobs? Cities with the most Senior Data Scientist Machine Learning job openings:
What are the most commonly searched types of Data Scientist Machine Learning jobs? The most popular types of Data Scientist Machine Learning jobs are:
What states have the most Senior Data Scientist Machine Learning jobs? States with the most job openings for Senior Data Scientist Machine Learning jobs include:
Infographic showing various Senior Data Scientist Machine Learning job openings in the United States as of June 2026, with employment types broken down into 77% Full Time, and 23% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.
Senior, Data Scientist

Senior, Data Scientist

Walmart

Milpitas, CA • On-site

$117K - $234K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Key responsibilities

  • Design, develop, and deploy AI/ML, NLP, and LLM models into production environments with a focus on reliability and scalability.

  • Own the full model lifecycle from experimentation and offline evaluation through serving, monitoring, and iterative improvement in production.

  • Integrate data science solutions into current business processes.


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 21,862 frontline employees who took The Breakroom Quiz

22nd of 39 rated national retailers


Job description

Position Summary...What you'll do...About Team The Catalog Data Science Team at Walmart Global Tech is focused on using the latest research in generative AI (GenAI), artificial intelligence (AI), machine learning (ML), statistics, deep learning, computer vision and optimization to implement solutions that ensure Walmart’s product catalog is accurate, complete, and optimized for customer experience. Our team tackles complex data science and ML engineering challenges related to product classification, attribute extraction, trust & safety, and catalog optimization, empowering next-generation retail use cases. We take pride in writing solid production code in Python, deploying and supporting model services and pipelines, and pushing the boundaries in latency, throughput, and scalability. As a Senior Data Scientist (Machine Learning Engineer) on the Catalog Data Quality  team, you will collaborate with other Data Scientists and ML Engineers to develop, deploy, and scale machine learning models in production to extract attributes from product information. You will play a key role in supporting the attribute extraction platform and catalog data quality solutions — adding capabilities and driving adoption of GenAI-powered solutions to increase the coverage and accuracy of the Walmart's product catalog. The Data Science and ML Engineering community at Walmart Global Tech is active in most of the Hack events, utilizing the petabytes of data at our disposal, to build some of the coolest ideas. All the work we do at Walmart Global Tech will eventually benefit our operations & our associates, helping Customers Save Money to Live Better.  What you'll do: As a Senior Data Scientist for Walmart Global Tech, you’ll have the opportunity to 
  • Design, develop, and deploy AI/ML, NLP, LLM models into production environments with a focus on reliability and scalability. Own the full model lifecycle — from experimentation and offline evaluation through serving, monitoring, and iterative improvement in production.
  • Integrate data science solutions into current business processes.
  • Develop and recommend process standards and best practices in Machine Learning as applicable to the retail industry.
  • Spearhead collaborations with other senior team members and stakeholders, leveraging your data science expertise to drive strategic decision-making and optimize business operations
  • Promote and support company policies, procedures, mission, values, and standards of ethics and integrity.
What you'll bring:
  • Qualifications: PhD with >3 years of relevant experience / 4-year bachelor’s degree with > 6 years of experience / Master’s degree with > 4 years of experience. Educational qualifications should be preferably in Computer Science or a strongly quantitative discipline.
  • Demonstrated history of strong hands-on experience in AI/ML modeling
  • Hands-on experience with Generative AI technologies: LLMs, multimodal models, RAG architectures, prompt engineering, and fine-tuning (LoRA/QLoRA)
  • Prior Experience in building GenAI, DL, Vision-based models. 
  • Strong foundation in classical ML, deep learning, and modern architectures — CNNs, Transformers, and domain-specific variants
  • Proactive in tracking the latest AI/ML research and translating advancements into production-grade solutions
  • Prior Experience in programming skills across data science, statistical analysis, big data and ML stack
  • Strong communication skills with inclination to high ownership and commitment
  • Proven track record of delivering high-impact AI/ML solutions to Production, including MLOps, Spark, Kubernets, GCP, etc.
Mandatory Skills: Machine Learning, NLP, Computer Vision, Deep-learning, Python, GenAI  Additional Qualifications:  Good to have experience in areas such as LLM Optimization. About Walmart Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.
 
Walmart’s culture is a competitive advantage, and it’s fostered by being together. Working together in person allows us to collaborate, align quickly and innovate with greater speed.  We use our campuses to create purposeful connection rooted in deepening understanding and investing in the development of our associates.  
Our hubs: Walmart is a global company with offices across the United States and around the world. Our global headquarters is in Bentonville, Arkansas, with primary hubs in the San Francisco Bay area and New York/New Jersey. 

Benefits:
Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
Equal Opportunity Employer:
Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing unique styles, experiences, identities, ideas, and opinions – while being inclusive of all people.
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. 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 $117,000.00 - $234,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock

‎ 

Minimum Qualifications...

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

Option 1- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 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...1375 Crossman Ave, Sunnyvale, CA 94089-1114, United States of AmericaWalmart 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


Walmart logo

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

Social media