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Predictive Analytics Jobs in California (NOW HIRING)

Bay FC

Head of Data & Analytics

San Francisco, CA

Head Of Data & Analytics Bay FC is the first NWSL team in the Bay Area. Co-founded by four U.S ... Support the application of predictive tools and risk models developed in close partnership with the ...

Everpure

Sr. Manager, People Analytics

Santa Clara, CA · On-site

$205K - $308K/yr

Architect Predictive Analytics Solutions: Design, scale, and automate executive dashboards and self-service analytics frameworks that shift our HR strategy from retrospective reporting to forward ...

True Classic

Data & Analytics Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

... predictive models for demand forecasting, inventory planning, and revenue projections • Build and maintain the serving layer that the AI team queries -- clean, modeled BigQuery tables in place of ...

Rosendin

People Analytics Lead

San Jose, CA · On-site

... predictive analytics that support forward‑looking workforce and hiring decisions, with clear assumptions and documented limitations. • Translate complex data sets into persuasive business cases ...

Raas Infotek LLC

Data Analyst

Irvine, CA

Exposure to machine learning, predictive analytics, or statistical modeling is a plus. * Certification in Data Analytics, Power BI, Tableau, or related technologies preferred. Educational ...

New

True Classic

Data & Analytics Engineer

Calabasas, CA · On-site

$120K - $145K/yr

... predictive models for demand forecasting, inventory planning, and revenue projections • Build and maintain the serving layer that the AI team queries -- clean, modeled BigQuery tables in place of ...

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Predictive Analytics information

See California salary details

$26.6K

$111.2K

$197.9K

How much do predictive analytics jobs pay per year?

As of Jun 10, 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
Azure Databricks Senior Architect

Azure Databricks Senior Architect

Tiger Analytics Inc.

Los Angeles, CA • On-site

$68.50 - $89.25/hr

Full-time

Posted 3 days ago

Job description

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.
Key Responsibilities
  • Architectural Leadership: Lead the design of high-level data architectures in Multi-Cloud environments (Azure and GCP) specifically for IIoT (Industrial Internet of Things) and manufacturing execution systems.
  • Industrial Data Modernization: Oversee the migration of legacy factory data systems to unified storage platforms like Hadoop and Databricks.
  • Smart Manufacturing Insights: Build visualization frameworks in Tableau to track OEE (Overall Equipment Effectiveness), supply chain bottlenecks, and production quality metrics.
  • Predictive Analytics: Utilize Spark, PySpark, and Python to develop models for predictive maintenance and demand forecasting.
  • End-to-End Delivery: Manage the full SDLC for high-impact projects, ensuring data integrity and security across global manufacturing sites.
  • Strategic Mentorship: Guide technical teams across onshore and offshore models, fostering excellence in data engineering and industrial AI.

Requirements
  • Manufacturing Domain Expertise: Proven experience applying data solutions to manufacturing challenges, such as inventory optimization, shop-floor automation, or digital twins.
  • Extensive IT Background: Over 18+ years of experience with a strong focus on Big Data ecosystems including Hadoop, Hive, and Spark.
  • Cloud Mastery: Deep expertise in Azure and GCP , supported by certifications in Data Engineering and Architecture.
  • Technical Depth: Hands-on proficiency with Informatica , Kubernetes , and advanced SQL for complex data exploration.
  • Education: A Master's Degree in Software Engineering.
  • Analytical Skills: Strong data processing and ETL experience using Python (NumPy/Pandas).

Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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