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Statistical Learning Jobs in California (NOW HIRING)

Strong expertise in statistical modeling, optimization techniques, predictive analytics, and machine learning algorithms. * Experience with advanced AI/ML methods including NLP, computer vision ...

Strong expertise in statistical modeling, optimization techniques, predictive analytics, and machine learning algorithms. * Experience with advanced AI/ML methods including NLP, computer vision ...

Strong expertise in statistical modeling, optimization techniques, predictive analytics, and machine learning algorithms. * Experience with advanced AI/ML methods including NLP, computer vision ...

Strong expertise in statistical modeling, optimization techniques, predictive analytics, and machine learning algorithms. * Experience with advanced AI/ML methods including NLP, computer vision ...

Statistical learning theory, optimization, probability theory, and information theory * Causal inference, decision theory, game theory * Online learning, bandits, RL, Bayesian methods * Strong ...

Strong expertise in statistical modeling, optimization techniques, predictive analytics, and machine learning algorithms. * Experience with advanced AI/ML methods including NLP, computer vision ...

Strong expertise in statistical modeling, optimization techniques, predictive analytics, and machine learning algorithms. * Experience with advanced AI/ML methods including NLP, computer vision ...

Strong expertise in statistical modeling, optimization techniques, predictive analytics, and machine learning algorithms. * Experience with advanced AI/ML methods including NLP, computer vision ...

Strong expertise in statistical modeling, optimization techniques, predictive analytics, and machine learning algorithms. * Experience with advanced AI/ML methods including NLP, computer vision ...

... Statistical Learning, Computer Science, Algorithms, Large Scale Computing, Model Alignment, AI Safety, Training Infrastructure, Compute Optimization, Inference Systems, Foundation Model Research ...

... Statistical Learning, Computer Science, Algorithms, Large Scale Computing, Model Alignment, AI Safety, Training Infrastructure, Compute Optimization, Inference Systems, Foundation Model Research ...

... Statistical Learning, Computer Science, Algorithms, Large Scale Computing, Model Alignment, AI Safety, Training Infrastructure, Compute Optimization, Inference Systems, Foundation Model Research ...

... Statistical Learning, Computer Science, Algorithms, Large Scale Computing, Model Alignment, AI Safety, Training Infrastructure, Compute Optimization, Inference Systems, Foundation Model Research ...

... Statistical Learning, Computer Science, Algorithms, Large Scale Computing, Model Alignment, AI Safety, Training Infrastructure, Compute Optimization, Inference Systems, Foundation Model Research ...

... Statistical Learning, Computer Science, Algorithms, Large Scale Computing, Model Alignment, AI Safety, Training Infrastructure, Compute Optimization, Inference Systems, Foundation Model Research ...

... Statistical Learning, Computer Science, Algorithms, Large Scale Computing, Model Alignment, AI Safety, Training Infrastructure, Compute Optimization, Inference Systems, Foundation Model Research ...

... Statistical Learning, Computer Science, Algorithms, Large Scale Computing, Model Alignment, AI Safety, Training Infrastructure, Compute Optimization, Inference Systems, Foundation Model Research ...

... Statistical Learning, Computer Science, Algorithms, Large Scale Computing, Model Alignment, AI Safety, Training Infrastructure, Compute Optimization, Inference Systems, Foundation Model Research ...

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Statistical Learning information

What are the key skills and qualifications needed to thrive as a Statistical Learning Specialist, and why are they important?

To thrive as a Statistical Learning Specialist, you need a strong background in statistics, probability, and machine learning, typically supported by an advanced degree in statistics, mathematics, computer science, or a related field. Expertise with programming languages such as Python or R, experience with statistical software (e.g., SAS, MATLAB), and familiarity with data analysis libraries are essential. Critical thinking, problem-solving, and effective communication skills help translate complex data insights into actionable business strategies. These competencies are crucial for extracting meaningful patterns from data and driving data-informed decision-making.

What is statistical learning?

Statistical learning is a field within statistics and machine learning that focuses on understanding and modeling relationships between variables using data. It involves methods for predicting outcomes, classifying data points, and uncovering patterns by analyzing large datasets. Techniques in statistical learning include regression, classification, clustering, and dimensionality reduction, among others. These methods are widely used in fields like finance, healthcare, and technology to make data-driven decisions.

How do professionals in statistical learning typically collaborate with data scientists and domain experts on projects?

Professionals in statistical learning often work closely with data scientists and domain experts to ensure that the models they develop are both statistically sound and practically relevant. Collaboration usually involves joint problem definition, sharing data insights, and iterative feedback on model performance. Statistical learning experts contribute their knowledge of algorithms and statistical methods, while data scientists handle data pre-processing and engineering, and domain experts provide context to interpret results. This multidisciplinary teamwork helps ensure that solutions are robust and actionable for stakeholders.

What is the difference between Statistical Learning vs Data Analyst?

AspectStatistical LearningData Analyst
Required CredentialsDegree in Statistics, Data Science, or related fieldsDegree in Statistics, Data Science, Business, or related fields
Work EnvironmentResearch, academia, tech companies, data science teamsBusiness, marketing, finance, healthcare organizations
Employer & Industry UsageTech firms, research institutions, startupsCorporations, consulting firms, government agencies
Common Search & ComparisonStatistical Learning vs Data Analyst

Statistical Learning focuses on developing models and algorithms to understand data patterns, often requiring advanced statistical and programming skills. Data Analysts interpret data to generate reports and insights, typically emphasizing data visualization and business understanding. While both roles analyze data, Statistical Learning is more research-oriented and technical, whereas Data Analysts focus on practical data interpretation for decision-making.

What job categories do people searching Statistical Learning jobs in California look for? The top searched job categories for Statistical Learning jobs in California are:
What cities in California are hiring for Statistical Learning jobs? Cities in California with the most Statistical Learning job openings:
Distinguished, Data Scientist

Distinguished, Data Scientist

Walmart

Milpitas, CA

$169K - $338K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 21,787 frontline employees who took The Breakroom Quiz

22nd of 39 rated national retailers


Job description

Position Summary...What you'll do...We are seeking a hands-on, highly skilled, and experienced Distinguished Data Scientist to join our team. In this role, you will drive the organization’s data science and AI strategy, provide technical thought leadership, and design scalable AI/ML solutions that solve complex business challenges at enterprise scale. You will lead advanced analytics initiatives, develop innovative machine learning systems, and mentor teams of data scientists and engineers while fostering a culture of innovation, operational excellence, and continuous learning. About the team: The Walmart Ads Data Science team develops advanced AI, analytics, and machine learning solutions that impact millions of customers and associates globally. The team consists of software engineers, data scientists, machine learning engineers, and business experts working together to solve large-scale retail and enterprise challenges using cutting-edge technologies. As part of Walmart Global Tech, the team collaborates closely with product, business, finance, marketing, operations, and UX teams to deliver measurable business value through scalable, secure, and intelligent systems. The organization emphasizes innovation, data-driven decision-making, operational excellence, and continuous improvement while supporting Walmart’s mission of helping customers save money and live better. What you'll do:
  • Develop and drive long-term AI, analytics, and data science strategy aligned with business objectives
  • Lead the design, development, validation, deployment, and scaling of machine learning and optimization models
  • Translate complex business problems into scalable data science and AI solutions with measurable business impact
  • Define success metrics, KPIs, experimentation frameworks, and ROI models for AI initiatives
  • Build and implement advanced analytical models including predictive modeling, optimization, NLP, computer vision, and statistical learning systems
  • Lead exploratory data analysis, automated feature engineering, and experimentation best practices
  • Collaborate with cross-functional teams including engineering, product, UX, business, and operations to deliver enterprise-scale AI solutions
  • Guide teams in model deployment, lifecycle management, monitoring, governance, and scalability practices
  • Drive innovation by leveraging new algorithms, technologies, data sources, and emerging AI methodologies
  • Present complex analytical insights and business recommendations to executive leadership and diverse stakeholder groups
  • Mentor and develop data scientists and engineers while fostering technical excellence and continuous learning
  • Influence organizational strategy through data-driven insights, industry expertise, and thought leadership
  • Ensure data governance, quality standards, accessibility, scalability, and compliance across analytical ecosystems
  • Build strong internal and external partnerships to advance Walmart’s AI and analytics capabilities
What you'll bring:
  • 10+ years of experience in Data Science, Machine Learning, AI, or Advanced Analytics.
  • Extensive experience across the full machine learning lifecycle including data sourcing, feature engineering, modeling, validation, deployment, monitoring, and maintenance.
  • Strong expertise in statistical modeling, optimization techniques, predictive analytics, and machine learning algorithms.
  • Experience with advanced AI/ML methods including NLP, computer vision, neural networks, Bayesian inference, ensemble methods, and deep learning.
  • Hands-on experience with Python, R, SQL, Java, C++, and modern ML frameworks and libraries.
  • Strong knowledge of big data ecosystems, distributed data platforms, cloud technologies, and scalable model deployment architectures.
  • Experience with MLOps, model lifecycle management, monitoring, testing, and governance frameworks.
  • Expertise in data visualization tools and storytelling techniques including Tableau, Power BI, Plotly, Matplotlib, and related technologies.
  • Strong business acumen with the ability to translate business objectives into technical solutions and measurable outcomes.
  • Experience leading large-scale enterprise AI initiatives and mentoring high-performing technical teams.
  • Excellent communication and stakeholder management skills with the ability to influence executive leadership.
  • Deep understanding of data governance, data quality standards, accessibility, storage, and scalability principles.
  • Proven ability to innovate, drive organizational change, and deliver measurable business impact at scale.
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 experts, 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 teams 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 gain new skills, innovate at scale, impact millions, and help reimagine the future of retail. Flexible Work Walmart’s culture sets us apart, and we know being together helps us innovate, learn, and grow great careers. This role offers flexible work arrangements that support both collaboration and work-life balance while enabling associates to do their best work. Benefits Beyond competitive compensation, associates can receive incentive awards for performance. Additional benefits include 401(k) match, stock purchase plans, maternity and parental leave, PTO, comprehensive health benefits, and much more. Belonging We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging and create opportunities for all associates, customers, and communities we serve. At Walmart, our vision is “everyone included.” By fostering a workplace culture where everyone feels included, we strengthen our business, improve customer experiences, and support the communities where we operate. 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 $169,000.00 - $338,000.00 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: Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 6 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 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, 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...1395 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

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