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Executive Predictive Analytics Jobs in California

Motion Recruitment

Senior Data Scientist

Los Angeles, CA · On-site

$130K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... predictive analytics. This role is instrumental in expanding the company's analytical maturity ... Produce executive-level reports and operational scorecards that support high-level strategic ...

SirenOpt

Executive Assistant

San Leandro, CA · On-site

$75K - $95K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Executive Assistant San Leandro, California, United States SirenOpt helps manufacturers make better ... and predictive analytics, SirenOpt creates unique, real-time fingerprints that capture material ...

SirenOpt

Executive Assistant

San Leandro, CA · On-site

$75K - $95K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... and predictive analytics, SirenOpt creates unique, real-time fingerprints that capture material ... Role Overview SirenOpt is looking for an Executive Assistant to support our leadership team and the ...

Oracle

Sr Director Data Automation, Supply Chain

Santa Clara, CA · On-site

$213K - $241K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design predictive monitoring systems enabling faster escalation management and improved operational resilience. * Deliver executive-level insights and analytics supporting strategic planning ...

Synchrony Financial

Perform deep-dive analyses, and create executive-ready materials that communicate insights clearly ... Statistics/decision science, predictive analytics, or test-and-learn measurement experience.

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All JobsPredictive Analytics JobsExecutive Predictive Analytics JobsExecutive Predictive Analytics Jobs in California

Executive Predictive Analytics information

What are the key skills and qualifications needed to thrive as an executive in predictive analytics, and why are they important?

To thrive as an Executive in Predictive Analytics, you need advanced expertise in statistical analysis, data modeling, and business strategy, usually supported by a degree in data science, statistics, or a related field. Familiarity with analytics platforms such as SAS, R, Python, and big data tools, as well as certifications like Certified Analytics Professional (CAP), is highly beneficial. Exceptional leadership, communication, and strategic decision-making abilities set standout executives apart in this field. These skills enable leaders to drive data-informed organizational growth, align analytics initiatives with business objectives, and foster innovation across teams.

How does an executive predictive analytics professional typically collaborate with other departments to drive business outcomes?

An Executive Predictive Analytics professional often works closely with teams across marketing, finance, operations, and IT to align advanced analytics initiatives with broader business goals. They translate complex data insights into actionable strategies, facilitating data-driven decision-making at the executive level. Regular cross-functional meetings and workshops are common to ensure that predictive models are integrated into business processes and that stakeholders understand their impact. Collaboration is key, as these executives must communicate technical findings in an accessible way to influence strategic planning and organizational change.

What is an executive predictive analytics?

Executive Predictive Analytics refers to the use of advanced data analysis techniques and machine learning models by organizational leaders to forecast future business outcomes and inform strategic decisions. Executives use predictive analytics to anticipate market trends, identify risks and opportunities, and optimize resource allocation. This role requires a combination of business acumen, data science knowledge, and the ability to translate complex data into actionable insights for high-level decision-making.

What is the difference between Executive Predictive Analytics vs Data Scientist?

AspectExecutive Predictive AnalyticsData Scientist
Required CredentialsOften requires advanced degrees in business, analytics, or related fields; certifications in analytics toolsTypically requires degrees in computer science, statistics, or mathematics; certifications in programming and data analysis
Work EnvironmentStrategic, executive-level settings; focuses on business impact and decision-makingTechnical environment; involves data modeling, coding, and statistical analysis
Employer & Industry UsageUsed in corporate strategy, finance, marketing, and operations departmentsEmployed across tech, finance, healthcare, and research organizations

While both roles involve data analysis and predictive modeling, Executive Predictive Analytics focuses on strategic insights for leadership decision-making, whereas Data Scientists handle technical data modeling and algorithm development. The roles often overlap but differ mainly in scope and target audience.

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 cities in California are hiring for Executive Predictive Analytics jobs? Cities in California with the most Executive Predictive Analytics job openings:
Executive Predictive Analytics jobs near you
Infographic showing various Executive Predictive Analytics job openings in California as of June 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Senior Data Scientist

Motion Recruitment Partners, LLC

Los Angeles, CA • On-site

$130K - $160K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Job description

Our client is a globally recognized innovator in the IoT space, delivering solutions focused on retail loss prevention, operational visibility, and advanced analytics. Their headquarters is located in South Orange County, California, and they maintain a significant international footprint with offices throughout the UK, Australia, China, Hong Kong, Germany, France, and Canada.
They are actively looking to bring on a Senior Data Scientist / Analytics & Machine Learning Engineer with strong capabilities in SQL, Python, business intelligence, dashboard development, and predictive analytics.
This role is instrumental in expanding the company's analytical maturity beyond standard reporting by introducing forward-looking models, operational intelligence, customer insight frameworks, and scalable data solutions that enable proactive business decisions and measurable impact.
The ideal candidate is both technically strong and business-minded, with the ability to translate complex data into meaningful insights, communicate clearly with stakeholders, and collaborate across departments to address both operational and customer-focused challenges.
Role & Responsibilities
Customer & Operational Analytics:
  • Examine customer data, operational metrics, monitoring outputs, video classification results, and theft-related information to surface patterns, risks, and actionable opportunities.
  • Develop structured analytical approaches to assess product adoption, customer engagement, operational efficiency, and overall value delivery.
  • Enable more proactive customer engagement through data-backed insights and trend identification.
  • Work closely with leadership to enhance transparency into both operational effectiveness and customer performance indicators.

Predictive Modeling & Data Science:
  • Create, deploy, and maintain predictive models focused on areas such as theft behavior, customer usage patterns, operational risk factors, service performance, and escalation triggers.
  • Build forecasting and trend analysis solutions to support planning, forecasting, and customer success strategies.
  • Leverage statistical techniques, machine learning models, and advanced analytics methods to drive better business outcomes.
  • Continuously monitor, tune, and improve model accuracy, relevance, and overall performance.

Business Intelligence & Visualization:
  • Design and build dashboards, KPI tracking tools, and reporting solutions using platforms like Power BI, Tableau, or comparable technologies.
  • Produce executive-level reports and operational scorecards that support high-level strategic planning.
  • Automate manual reporting processes and enhance the scalability of visualization and analytics tools.
  • Convert complex datasets and analytical outputs into clear, concise, and actionable business insights.

Cross-Functional Collaboration:
  • Partner with teams across Operations, Customer Success, Sales, Product, IT, Engineering, and Finance to identify high-impact opportunities and prioritize analytics initiatives.
  • Contribute to projects involving AI-based analysis, workflow automation, and operational efficiency improvements.
  • Collaborate with engineering and data teams to improve data integrity, accessibility, system integration, and governance practices.

Must Have Skills:
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Business Analytics, or a related discipline.
  • 4-8 years of hands-on experience in data science, predictive analytics, customer or operational analytics, or similar roles.
  • Demonstrated experience building predictive models and performing sophisticated data analysis in a business environment.
  • Advanced SQL expertise along with strong proficiency in Python or related programming tools.
  • Experience using business intelligence platforms such as Power BI, Tableau, or similar tools.
  • Experience working with large-scale, complex datasets across operational and customer domains.
  • Strong analytical thinking, problem-solving capabilities, and attention to detail.
  • Excellent communication skills with the ability to clearly explain technical findings to non-technical stakeholders.
  • Proven ability to work independently while managing multiple priorities in a dynamic environment.
  • Education And/Or Experience : BSEE, MSEE, BSCS, or MSCS

Nice to have / Preferred Skills:
  • Exposure to SaaS environments, retail technology, video analytics, loss prevention systems, IoT platforms, subscription-based services, or service-driven organizations.
  • Understanding of machine learning techniques, AI-enabled analytics, and operational optimization approaches.
  • Experience working with cloud-based ecosystems such as Azure, AWS, or Google Cloud.
  • Background in developing executive-level dashboards and KPI reporting frameworks.

The Offer
  • Competitive total compensation package ranging from $130K-$160K
  • Comprehensive benefits package including medical, dental, and vision coverage; Life/ADD/LTD insurance; FSA/HSA offerings
  • 401(k) plan with company match
  • Generous paid time off program
  • 11 paid company holidays

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