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Data Science Consultant Jobs in Ladera Ranch, CA

Rivago infotech inc

AI Fabric Consultant

Corona, CA · On-site

Role: AI Fabric Consultant Experience: 8-15 Years Need someone who has experience in Microsoft ... Microsoft Fabric Data Engineering & Data Science workloads * Azure DevOps/GitHub Actions * MLOps ...

Deloitte

Senior AI Engineer - SFL Scientific

Costa Mesa, CA · On-site

$112K - $154K/yr

In our consultative approach, we are platform agnostic and committed to providing the best ... Leverage advanced technical skills in modern data architecture, data science engineering, data ...

Crowe LLP

Machine Learning Intern

Costa Mesa, CA · On-site

$27 - $42/hr

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately ... consulting, and other nonattest services. The Crowe Global network consists of more than 300 ...

Deloitte

AI Engineer Consultant

Costa Mesa, CA · Hybrid

Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science ... Work you'll do As an AI Engineer Consultant on the HC Forward team, you will design, build, and run ...

Pwc

ERP AI Engineer - Manager

Irvine, CA · On-site

$99K - $232K/yr

... consulting specialise in consulting services for a variety of business applications, helping ... As a Manager, you will lead teams of data scientists and ML engineers, manage client relationships ...

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How much do data science consultant jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for data science consultant in Ladera Ranch, CA is $47.72, according to ZipRecruiter salary data. Most workers in this role earn between $32.21 and $63.89 per hour, depending on experience, location, and employer.

What is a data science consultant?

Data Science Consultants are professionals who use statistical analysis, machine learning, and data modeling to help organizations solve business problems and make informed decisions. They typically work with clients to understand their data-related challenges, develop tailored analytical solutions, and communicate actionable insights. Their expertise spans across data collection, data cleaning, predictive analytics, and data visualization, enabling businesses to leverage data for strategic advantage. Data Science Consultants often work on a project basis, either independently or as part of consulting firms, serving clients in various industries.

How does a data science consultant typically collaborate with clients and internal teams during a project?

Data Science Consultants work closely with both clients and internal stakeholders to understand business objectives, gather requirements, and translate them into analytical solutions. They often facilitate workshops or meetings to clarify goals, then collaborate with data engineers, analysts, and subject matter experts to design and implement models. Regular communication is essential, as consultants must present findings in accessible terms, adjust methodologies based on feedback, and ensure solutions are actionable for the client’s needs. This cross-functional collaboration is key to delivering value and building long-term client relationships.

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

To thrive as a Data Science Consultant, you need strong analytical skills, proficiency in statistics, and experience with data modeling, typically supported by a degree in a quantitative field. Familiarity with programming languages like Python or R, data visualization tools (e.g., Tableau or Power BI), and cloud platforms is commonly required, along with certifications such as AWS Certified Data Analytics or Google Data Engineer. Excellent communication, problem-solving abilities, and business acumen help consultants translate complex data insights into actionable recommendations for clients. These skills are vital to deliver tangible business value, bridge technical and non-technical stakeholders, and drive data-driven decision-making.

How much does a data science consultant make?

Data science consultants typically earn between $70,000 and $150,000 annually, depending on experience, location, and industry. Senior or specialized consultants with advanced skills in machine learning and data analysis can earn higher salaries, especially when working on complex projects or for large organizations.

What are popular job titles related to Data Science Consultant jobs in Ladera Ranch, CA?

For Data Science Consultant jobs in Ladera Ranch, CA, the most frequently searched job titles are:

What cities near Ladera Ranch, CA are hiring for Data Science Consultant jobs?

Cities near Ladera Ranch, CA with the most Data Science Consultant job openings:

Data Science Consultant jobs near you
Infographic showing various Data Science Consultant job openings in Ladera Ranch, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $99,267 per year, or $47.7 per hour.

Sr Principal Data Scientist, Search and Recommendations

Ingram Micro

Irvine, CA • On-site

$158K - $270K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 4 days ago

Ingram Micro rating

6.9

Company rating: 6.9 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

267th of 428 rated retail wholesalers

Job description

Accelerate your career. Join the organization that's driving the world's technology and shape the future.
Ingram Micro is a leading technology company for the global information technology ecosystem. With the ability to reach nearly 90% of the global population, we play a vital role in the worldwide IT sales channel, bringing products and services from technology manufacturers and cloud providers to business-to-business technology experts. Our market reach, diverse solutions and services portfolio, and digital platform Ingram Micro Xvantage™ set us apart. Learn more at www.ingrammicro.com
Come join our team where you'll make technology happen in surprising ways. Let's shape tomorrow - it'll be a fun journey!
We are seeking an experienced Data Scientist / Senior Consultant to drive the science and strategy behind Ingram Micro's global Search and Recommendation systems. The role partners closely with a diverse team of scientists, engineers, product leaders, and industry experts to build large-scale models that meaningfully improve discovery, relevance, and commercial outcomes across an enterprise ecosystem.
You will be responsible for the technical strategy, model development, experimentation, and production impact, delivering measurable improvements to the performance of search and recommendation engines worldwide. The role is hands-on and high-visible requiring deep technical expertise and the ability to communicate complex concepts to non-technical audiences.
Scope
  • Own multi-quarter technical development, vision, and roadmap for search, ranking, personalization, discovery, and recommendation systems.
  • Engage with a globally distributed team of Data Scientists and AI/ML Engineers
  • Be accountable for model quality, experimentation rigor, and production impact
  • Influence platform, tooling, and architecture decisions in partnership with science, engineering, and business leadership

Qualifications
  • Master's or Ph.D. in a quantitative field (Computer Science, Data Science, AI, Statistics, Applied Math, Engineering, Economics, or similar technical fields)
  • 10+ years functional experience including a minimum of 5+ years position specific experience in search, recommendation, information retrieval, or personalization at scale
  • Track record of owning production search or recommendation systems with measurable business impact

Hands-On Technical Ownership
  • Expertise in developing and leading the deployment of enterprise level Search Algorithms and Recommendation Engines at global scale
  • Develop model design for ranking, relevance, personalization, semantic retrieval
  • Build applications leveraging LLMs, deep learning, transformers, generative AI, semantic search, vector databases, and RAG pipelines
  • Design and interpret A/B tests and quasi-experiments tied to business metrics
  • Tools/stack experience: Python, SQL, Jupyter, R, Julia, SAS, MATLAB, etc...
  • Experience with GCP (Big Query, VertexA, Gemini) strongly preferred
  • Experience developing Search/Recommendation Agents is a plus
  • Work with large-scale behavioral, content, and transactional datasets to solve highly ambiguous problems

Organizational & Technical Leadership
  • Partner with and mentor mid- and senior -level scientists
  • Set bar for modeling excellence, experimentation discipline, production readiness
  • Promote reusable ML platforms and standardization over one-off solutions
  • Serve as an executive-facing authority on search and recommendation science

Stakeholder & Business Leadership
  • Translate ambiguous business problems into scalable AI and ML solutions
  • Communicate technical models, engines, systems to non-technical stakeholders
  • Partner with Product, Engineering, and Business to balance near-term wins vs. long-term platform bets

Success Metrics
  • Sustained improvements in relevance, engagement, and conversion
  • High-retention, high-performing ML team with strong internal mobility
  • Systems that scale globally with reliability and defensible scientific rigor
  • Measurable impact to financial results and customer experience

#LI-RT1
The typical base pay range for this role across the U.S. is USD $158,900.00 - $270,100.00 per year.
The ranges above reflect the potential annual base pay across the U.S. for all roles; the applicable base pay range will depend on the candidate's primary work location, pay grade, and variable compensation plan. Individual base pay within each range depends on various factors, in addition to primary work location, such as complexity and responsibility of role, job duties/requirements, and relevant experience and skills. Base pay ranges are reviewed and typically updated each year. Offers are made within the base pay range applicable at the time of hire. New hires starting base pay generally falls in the bottom half (between the minimum and midpoint) of a pay range.
At Ingram Micro certain roles are eligible for additional rewards, including merit increases, annual bonus or sales incentives and long-term incentives. These awards are allocated based on position level and individual performance. U.S.-based employees have access to healthcare benefits, paid time off, parental leave, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, and wellbeing benefits, among others.
This is not a complete listing of the job duties. It's a representation of the things you will be doing, and you may not perform all these duties.
Please be prepared to pass a drug test and successfully pass a pre-employment (post offer) background check.
Ingram Micro Inc. is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other protected category under applicable law.

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