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Predictive Analytics Jobs in California (NOW HIRING)

Ra

Customer Analytic Manager

San Diego, CA

Who holds 2+ years of experience Customer Analytics delivery Who holds 2+ years of experience in CRM Modeling, Reporting, Analytics who is experienced in predictive analytics tools Qualifications Who ...

Ra

Customer Analytic Manager

Los Angeles, CA

Who holds 2+ years of experience Customer Analytics delivery Who holds 2+ years of experience in CRM Modeling, Reporting, Analytics who is experienced in predictive analytics tools Qualifications Who ...

Ra

Customer Analytic Manager

San Francisco, CA · On-site

Who holds 2+ years of experience Customer Analytics delivery Who holds 2+ years of experience in CRM Modeling, Reporting, Analytics who is experienced in predictive analytics tools Qualifications Who ...

Ra

Customer Analytic Manager

Sacramento, CA

Who holds 2+ years of experience Customer Analytics delivery Who holds 2+ years of experience in CRM Modeling, Reporting, Analytics who is experienced in predictive analytics tools Qualifications Who ...

Ra

Customer Analytic Manager

Orange, CA

Who holds 2+ years of experience Customer Analytics delivery Who holds 2+ years of experience in CRM Modeling, Reporting, Analytics who is experienced in predictive analytics tools Qualifications Who ...

Ra

Customer Analytic Manager

San Jose, CA

Who holds 2+ years of experience Customer Analytics delivery Who holds 2+ years of experience in CRM Modeling, Reporting, Analytics who is experienced in predictive analytics tools Qualifications Who ...

Microsoft

Senior Applied Scientist

Mountain View, CA · On-site

$158K - $258K/yr

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)

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Predictive Analytics information

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$26.6K

$111.2K

$197.9K

How much do predictive analytics jobs pay per year?

As of Jun 9, 2026, the average yearly pay for predictive analytics in California is $111,246.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,400.00 and $121,400.00 per year, depending on experience, location, and employer.

What is a Predictive Analytics job?

A Predictive Analytics job involves using statistical techniques, machine learning models, and data analysis to forecast future trends and outcomes. Professionals in this field work with large datasets to identify patterns, assess risks, and provide data-driven recommendations. They commonly apply predictive models in industries such as finance, marketing, healthcare, and supply chain management. The role typically requires expertise in programming languages like Python or R, data visualization, and strong problem-solving skills.

What are some typical challenges faced in a Predictive Analytics position?

Professionals in Predictive Analytics often encounter challenges such as dealing with incomplete or inconsistent data, selecting the most appropriate modeling techniques, and ensuring models are both accurate and interpretable for business stakeholders. Additionally, balancing multiple projects with tight deadlines and aligning analytics solutions with strategic objectives can be demanding. However, these challenges provide excellent opportunities for creative problem-solving, collaboration with various departments, and continuous learning in a rapidly evolving field. Supportive team structures and access to up-to-date analytical tools typically help professionals overcome these obstacles. Embracing these challenges can significantly enhance your expertise and career trajectory in predictive analytics.

What are the key skills and qualifications needed to thrive in the Predictive Analytics position, and why are they important?

To thrive in Predictive Analytics, you need strong skills in statistical analysis, data modeling, and a solid educational background in mathematics, statistics, computer science, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms, as well as certifications like SAS or Microsoft Certified Data Analyst, is highly valued. Excellent problem-solving abilities, attention to detail, and effective communication are crucial soft skills for translating complex data into actionable insights. These skills are essential for accurately forecasting trends, informing business decisions, and effectively collaborating with cross-functional teams.

What are the most commonly searched types of Predictive Analytics jobs in California? The most popular types of Predictive Analytics jobs in California are:
What are popular job titles related to Predictive Analytics jobs in California? For Predictive Analytics jobs in California, the most frequently searched job titles are:
What job categories do people searching Predictive Analytics jobs in California look for? The top searched job categories for Predictive Analytics jobs in California are:
What cities in California are hiring for Predictive Analytics jobs? Cities in California with the most Predictive Analytics job openings:
Predictive Analytics jobs near you

Associate Director, Analytics - Construction, California

Brillio

Irvine, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Job description

Role Brief:
We are seeking a highly versatile and client-facingAssociate Director, Analytics to drive AI and analytics transformation initiatives for strategic clients in the construction and built-environment domain. This role blends the responsibilities of a product owner, analytics consultant, solution architect, and hands-on technology leader.
The ideal candidate is someone who began their career as a strong hands-on engineer/coder and has evolved into a consulting-led leadership role capable of owning business outcomes, shaping AI products, engaging senior stakeholders, and leading cross-functional delivery teams.
This individual will work at the intersection of AI/ML and analytics strategy, construction domain workflows and operational intelligence, product ownership and stakeholder management, data engineering and application architecture and full-stack AI solution delivery.
The role requires both strategic thinking and technical depth, with the ability to translate ambiguous business problems into scalable AI-enabled products and platforms.
Responsibilities:
  • Act as the primary AI/Analytics Product Owner for client engagements within the construction domain.
  • Partner with client business stakeholders to identify high-value AI, analytics, automation, and optimization opportunities.
  • Define product vision, roadmap, KPIs, feature prioritization, and release planning for AI-enabled platforms and solutions.
  • Drive discovery workshops, problem framing sessions, and use-case prioritization exercises.
  • Translate business problems into scalable data, analytics, and AI solution architectures.
  • Own stakeholder communication, executive reporting, and strategic advisory discussions.
  • Lead development of AI/ML-driven solutions involving Computer Vision, OCR/document intelligence, LLM and GenAI applications, Predictive analytics, Operational optimization, Recommendation systems
  • Define AI solution strategy, experimentation approach, evaluation metrics, and product ionization plans.
  • Guide teams on model selection, data strategy, feature engineering, and deployment approaches.
  • Establish scalable AI governance, monitoring, and feedback-loop mechanisms.
  • Provide technical leadership across: Data Engineering, Backend/API development, Full-stack application architecture, Cloud-native analytics platforms, BI and visualization ecosystems
  • Collaborate with engineering teams to design scalable architectures and integration patterns.
  • Review technical designs, APIs, pipelines, and engineering implementation approaches.
  • Ensure alignment between product vision and technical execution.
  • Act as a trusted advisor to client leadership teams.
  • Lead requirement discussions, solution walkthroughs, demos, and steering committee updates.
  • Drive cross-functional collaboration across business, data science, engineering, and UX teams.
  • Manage delivery governance, prioritization, risks, dependencies, and execution tracking.
  • Mentor teams and foster a strong engineering and innovation culture.

Requirements:
  • 10-15+ years of experience across analytics, AI/ML, data engineering, and enterprise application delivery.
  • Prior experience in consulting, analytics advisory, or client-facing transformation programs.
  • Strong experience acting as AI Product Owner, Analytics Lead, Solution Architect, Technical Program Lead.
  • Early career experience as a hands-on software engineer/developer is mandatory.
  • Experience working with construction, engineering, manufacturing, industrial, or built-environment clients is strongly preferred.
  • Knowledge of Analytics & AI.
  • Strong understanding of Machine Learning, Deep Learning, GenAI/LLM ecosystems, NLP and Computer Vision, Predictive analytics, Statistical modelling.
  • Experience with AI product lifecycle management and production AI systems.
  • Strong knowledge of Data pipelines and ETL/ELT, Data warehousing/Lakehouse architectures, Streaming and batch processing, SQL and distributed data processing
  • Experience with modern cloud data ecosystems.
  • Strong backend engineering foundation with experience inPython / Node.js / Java, REST APIs and microservices, Event-driven systems
  • Understanding of modern frontend and full-stack application architecture.
  • Ability to collaborate effectively with UX/UI and product engineering teams.
  • Experience with enterprise BI and reporting ecosystems.
  • Ability to drive executive dashboards, KPI frameworks, and operational analytics solutions.
  • Familiarity with Azure/ preferably GCP ecosystems.
  • Understanding of CI/CD, MLOps, containerization, and deployment strategies.

Desired Candidate Profile:
  • Combines consulting mindset with strong technical depth.
  • Can move seamlessly between business discussions and technical architecture conversations.
  • Has strong ownership, entrepreneurial mindset, and product thinking.
  • Is comfortable working in ambiguity and building 0-to-1 AI solutions.
  • Can challenge assumptions and influence executive stakeholders.
  • Has credibility with both engineering teams and business leaders.
  • Is hands-on enough to review code/designs while operating at leadership level.
  • Demonstrates strong communication, storytelling, and workshop facilitation skills.

Preferred Background:
  • Construction technology (ConTech)
  • Blueprint/document intelligence
  • Estimation or procurement analytics
  • BIM/CAD data workflows
  • AI-powered operational platforms
  • Industrial AI or field operations analytics
  • Digital transformation consulting

Education:
  • Bachelor's or Master's degree in Engineering, Computer Science, Data Science, Analytics, or related field.
  • MBA or equivalent consulting/product management exposure is a plus.

Benefits:
Brillio offers a comprehensive benefits program for this position, subject to applicable eligibility requirements:
• Medical, Dental, and Vision Insurance with multiple plan options
• Health Savings Account (HSA) with Brillio employer contributions and Flexible Spending Accounts (FSA)
• Company-paid Life Insurance and Accidental Death & Dismemberment (AD&D) coverage
• Short-Term and Long-Term Disability coverage
• 401(k) retirement savings plan
• Flexible Paid Time Off (Flexi-PTO) and paid company holidays
• Paid Parental Leave including maternity, parental bonding, adoption, and surrogacy benefits
• Employee Assistance Program (EAP) and wellness resources
• Learning and Development programs including training and certification support
• Student Loan Contribution Program for eligible employees
• Employee discount and wellness programs including fitness, lifestyle, and family support benefits
• Backup care support for children, elder care, and pets
• Additional voluntary benefits including legal services, accident coverage, critical illness coverage, and pet insurance
$144,000 - $198,000 a year
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting and is location specific. Brillio reserves the right to modify this information at any time, based on applicable policy.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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