Description Support Product Marketing, Investor Relations, and the Executive Team with predictive analytics for customer product and services engagement. Understand product requirements then ...
Description Support Product Marketing, Investor Relations, and the Executive Team with predictive analytics for customer product and services engagement. Understand product requirements then ...
Lead the development and implementation of AI/ML models, predictive analytics, and advanced data science solutions * Design and deliver executive dashboards, reports, scorecards, and visualizations ...
Lead the development and implementation of AI/ML models, predictive analytics, and advanced data science solutions * Design and deliver executive dashboards, reports, scorecards, and visualizations ...
... executive reviews. Manage performance metrics and reporting cadences that measure Procurement ... Experience with cloud-based analytics platforms, modern data architecture, and predictive analytics ...
... executive reviews. Manage performance metrics and reporting cadences that measure Procurement ... Experience with cloud-based analytics platforms, modern data architecture, and predictive analytics ...
... executive reviews. * Manage performance metrics and reporting cadences that measure Procurement ... Master's degree (MBA, Predictive Analytics, Data Science, or Information Systems) preferred ...
... executive reviews. * Manage performance metrics and reporting cadences that measure Procurement ... Master's degree (MBA, Predictive Analytics, Data Science, or Information Systems) preferred ...
Description Support Product Marketing, Investor Relations, and the Executive Team with predictive analytics for customer product and services engagement. Understand product requirements then ...
Description Support Product Marketing, Investor Relations, and the Executive Team with predictive analytics for customer product and services engagement. Understand product requirements then ...
Sr Store Analytics Manager
Dublin, CA · On-site +1
... executive-ready communication. What You'll Do | Key Accountabilities • Translate complex ... predictive models that improve location selection, forecast accuracy, and understanding of drivers ...
Sr Store Analytics Manager
Dublin, CA · On-site +1
... executive-ready communication. What You'll Do | Key Accountabilities • Translate complex ... predictive models that improve location selection, forecast accuracy, and understanding of drivers ...
... executive-ready communication. What You'll Do | Key Accountabilities • \tTranslate complex ... predictive models that improve location selection, forecast accuracy, and understanding of drivers ...
... executive-ready communication. What You'll Do | Key Accountabilities • \tTranslate complex ... predictive models that improve location selection, forecast accuracy, and understanding of drivers ...
... executive reviews. * Manage performance metrics and reporting cadences that measure Procurement ... Master's degree (MBA, Predictive Analytics, Data Science, or Information Systems) preferred ...
... executive reviews. * Manage performance metrics and reporting cadences that measure Procurement ... Master's degree (MBA, Predictive Analytics, Data Science, or Information Systems) preferred ...
Senior Applied Scientist
Mountain View, CA · On-site
$160K - $261K/yr
... to assist senior executives in making key business decisions. Qualifications Required ... statistics predictive analytics, research) * OR Master's Degree in Statistics, Econometrics ...
Senior Applied Scientist
Mountain View, CA · On-site
$160K - $261K/yr
... to assist senior executives in making key business decisions. Qualifications Required ... statistics predictive analytics, research) * OR Master's Degree in Statistics, Econometrics ...
Principal, Quantitative Power System Analyst
Oakland, CA · Hybrid
$147K/yr
... predictive analytics, and digital intelligence platforms that provide real-time and forward-looking ... Works with all levels of leadership (up to and including executives) across functions to influence ...
Principal, Quantitative Power System Analyst
Oakland, CA · Hybrid
$147K/yr
... predictive analytics, and digital intelligence platforms that provide real-time and forward-looking ... Works with all levels of leadership (up to and including executives) across functions to influence ...
US Sales & Operations Planning Business Analyst
South San Francisco, CA · On-site
$124K - $230K/yr
... predictive analytics and automated AI solutions to optimize portfolio health and support commercial ... executive stakeholders while maintaining composure in high-pressure environments. The expected ...
US Sales & Operations Planning Business Analyst
South San Francisco, CA · On-site
$124K - $230K/yr
... predictive analytics and automated AI solutions to optimize portfolio health and support commercial ... executive stakeholders while maintaining composure in high-pressure environments. The expected ...
US Sales & Operations Planning Business Analyst
South San Francisco, CA · On-site +1
$124K - $230K/yr
... predictive analytics and automated AI solutions to optimize portfolio health and support commercial ... executive stakeholders while maintaining composure in high-pressure environments. The expected ...
US Sales & Operations Planning Business Analyst
South San Francisco, CA · On-site +1
$124K - $230K/yr
... predictive analytics and automated AI solutions to optimize portfolio health and support commercial ... executive stakeholders while maintaining composure in high-pressure environments. The expected ...
Executive Assistant
San Leandro, CA · On-site
$75K - $95K/yr
... 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 ...
Executive Assistant
San Leandro, CA · On-site
$75K - $95K/yr
... 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 ...
Director of Strategic Analytics
Lake Forest, CA · On-site
$170K - $200K/yr
Experience leveraging AI, machine learning, and predictive analytics preferred. Leadership & Communication * Executive presence with exceptional communication and presentation skills. * Strong ...
Quick apply
Director of Strategic Analytics
Lake Forest, CA · On-site
$170K - $200K/yr
Experience leveraging AI, machine learning, and predictive analytics preferred. Leadership & Communication * Executive presence with exceptional communication and presentation skills. * Strong ...
... new AI/Predictive Analytics capabilities Stakeholder Management * Interacts with a broad range of internal customers ranging from VP, executive directors of brand, marketing team, and IT.
... new AI/Predictive Analytics capabilities Stakeholder Management * Interacts with a broad range of internal customers ranging from VP, executive directors of brand, marketing team, and IT.
... new AI/Predictive Analytics capabilities Stakeholder Management * Interacts with a broad range of internal customers ranging from VP, executive directors of brand, marketing team, and IT.
... new AI/Predictive Analytics capabilities Stakeholder Management * Interacts with a broad range of internal customers ranging from VP, executive directors of brand, marketing team, and IT.
Build predictive analytics, leading indicators, and scenario-planning models that improve forecast accuracy and executive decision-making. * Evaluate commercial risks and opportunities through data ...
Build predictive analytics, leading indicators, and scenario-planning models that improve forecast accuracy and executive decision-making. * Evaluate commercial risks and opportunities through data ...
Build predictive analytics, leading indicators, and scenario-planning models that improve forecast accuracy and executive decision-making. * Evaluate commercial risks and opportunities through data ...
Build predictive analytics, leading indicators, and scenario-planning models that improve forecast accuracy and executive decision-making. * Evaluate commercial risks and opportunities through data ...
... new AI/Predictive Analytics capabilities Stakeholder Management * Interacts with a broad range of internal customers ranging from VP, executive directors of brand, marketing team, and IT.
... new AI/Predictive Analytics capabilities Stakeholder Management * Interacts with a broad range of internal customers ranging from VP, executive directors of brand, marketing team, and IT.
Develop dashboards, scorecards, and executive reporting that shift from reactive reporting to proactive, predictive CX management * Lead customer research and analytics programs, translating findings ...
Develop dashboards, scorecards, and executive reporting that shift from reactive reporting to proactive, predictive CX management * Lead customer research and analytics programs, translating findings ...
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 are 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 does a predictive analyst do?
A predictive analyst uses statistical models and data analysis techniques to forecast future trends and behaviors. They work with large datasets, employ tools like SQL and Python, and interpret results to support decision-making in organizations. Strong analytical skills and knowledge of machine learning are essential for this role.
What is the highest paying job in data analytics?
In data analytics, executive roles such as Chief Data Officer (CDO) or Vice President of Data often have the highest salaries, especially in large organizations. These positions require advanced skills in data strategy, leadership, and often a background in predictive analytics or data science, with compensation reaching into seven figures in some cases.
What is the difference between Executive Predictive Analytics vs Data Scientist?
| Aspect | Executive Predictive Analytics | Data Scientist |
|---|---|---|
| Required Credentials | Often requires advanced degrees in business, analytics, or related fields; certifications in analytics tools | Typically requires degrees in computer science, statistics, or mathematics; certifications in programming and data analysis |
| Work Environment | Strategic, executive-level settings; focuses on business impact and decision-making | Technical environment; involves data modeling, coding, and statistical analysis |
| Employer & Industry Usage | Used in corporate strategy, finance, marketing, and operations departments | Employed 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.
Is 40 too late for data science?
For an executive predictive analytics role, age is generally not a barrier if you have relevant skills, experience, and knowledge of tools like Python, R, and machine learning algorithms. Many professionals transition into data science or analytics later in their careers, leveraging their domain expertise and analytical skills. Continuous learning and certifications can also enhance your qualifications regardless of age.
Is AI taking over analytics jobs?
Executive Predictive Analytics professionals use AI tools and machine learning algorithms to analyze data and generate insights. While AI automates certain tasks, these roles require expertise in interpreting results, developing models, and making strategic decisions, so AI complements rather than replaces analytics jobs.
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:
Full-time
Re-posted 15 days ago
Apple rating
8.0
Based on 676 frontline employees who took The Breakroom Quiz
7th of 30 rated technology retailers
Job description
At Apple, new ideas have a way of becoming excellent products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish! The Product Marketing Customer Analytics team is seeking a Machine Learning Engineer with deep technical experience in predictive analytics and analytic engineering.
Description
Support Product Marketing, Investor Relations, and the Executive Team with predictive analytics for customer product and services engagement. Understand product requirements then translate them into modeling tasks and engineering tasks
Develop scalable ML algorithms and models to understand customer behavior and provide leadership with actionable insights and recommendations
Design and implement end-to-end machine learning pipelines-from feature engineering to model serving- using best in class MLOps frameworks
Develop and optimize deep learning and traditional ML solutions on high-volume datasets using GPU clusters or distributed CPU environments.
Experiment with cutting-edge algorithms, providing advanced insights into customer behavior and engagement.
Manage ML projects through all phases, including data quality, algorithm/feature development, predictive modeling, visualization, and deployment and maintenance.
Tackle difficult, non-routine analysis/prediction problems, applying advanced ML methods as needed.
Partner with peers to build and prototype analysis pipelines that provide insights at scale.
Collaborate with data engineers and infrastructure partners to implement robust solutions and operationalize models. Enhance and evolve solutions to meet changing business needs with agility.
Minimum Qualifications
8+ years of hands-on programming skills for large-scale data processing
Graduate degree required in Computer Science, Statistics, Data Mining, Machine Learning, Operations Research, or related field
Preferred Qualifications
Excellent understanding of analytical methods and machine learning algorithms including regression, clustering, classification, optimization, and other advanced analytic techniques.
8+ years of proven experience building and scaling predictive models across distributed systems (eg: Spark, Kubernetes, GPU clusters), production model hosting, and handling end-to-end performance optimization to solve business problems.
8+ years of hands-on programming skills (Python, and/or Spark) for large-scale data processing, deriving key insights, developing machine learning models on structured and unstructured data, and with demonstrated success maintaining robust, high-throughput ML pipelines in a production environment.
Comfortable with advanced deep learning frameworks (Tensorflow, PyTorch) and adept at designing and scaling ML platforms that include feature stores, automated retraining pipelines and CI/CD integration. Able to design systems to handle high-volume ML workflows and implement scalable, fault-tolerant solutions.
Solid technical database and data modeling knowledge (Oracle, Hadoop, SnowFlake), and experience optimizing SQL queries on large dataset for performance-critical analytics.
Able to work effectively on ambiguous data and constructs within a fast-changing environment, tight deadlines and priority changes
Strong communication skills and ability to explain complex technical topics to both data science peers and non-technical business stakeholders, effectively presenting findings and recommendations to senior executives.
Demonstrated success in partnering cross-functionally, guiding diverse technical teams, aligning business stakeholders, invested in collective success of teams and project outcomes.
Description
Support Product Marketing, Investor Relations, and the Executive Team with predictive analytics for customer product and services engagement. Understand product requirements then translate them into modeling tasks and engineering tasks
Develop scalable ML algorithms and models to understand customer behavior and provide leadership with actionable insights and recommendations
Design and implement end-to-end machine learning pipelines-from feature engineering to model serving- using best in class MLOps frameworks
Develop and optimize deep learning and traditional ML solutions on high-volume datasets using GPU clusters or distributed CPU environments.
Experiment with cutting-edge algorithms, providing advanced insights into customer behavior and engagement.
Manage ML projects through all phases, including data quality, algorithm/feature development, predictive modeling, visualization, and deployment and maintenance.
Tackle difficult, non-routine analysis/prediction problems, applying advanced ML methods as needed.
Partner with peers to build and prototype analysis pipelines that provide insights at scale.
Collaborate with data engineers and infrastructure partners to implement robust solutions and operationalize models. Enhance and evolve solutions to meet changing business needs with agility.
Minimum Qualifications
8+ years of hands-on programming skills for large-scale data processing
Graduate degree required in Computer Science, Statistics, Data Mining, Machine Learning, Operations Research, or related field
Preferred Qualifications
Excellent understanding of analytical methods and machine learning algorithms including regression, clustering, classification, optimization, and other advanced analytic techniques.
8+ years of proven experience building and scaling predictive models across distributed systems (eg: Spark, Kubernetes, GPU clusters), production model hosting, and handling end-to-end performance optimization to solve business problems.
8+ years of hands-on programming skills (Python, and/or Spark) for large-scale data processing, deriving key insights, developing machine learning models on structured and unstructured data, and with demonstrated success maintaining robust, high-throughput ML pipelines in a production environment.
Comfortable with advanced deep learning frameworks (Tensorflow, PyTorch) and adept at designing and scaling ML platforms that include feature stores, automated retraining pipelines and CI/CD integration. Able to design systems to handle high-volume ML workflows and implement scalable, fault-tolerant solutions.
Solid technical database and data modeling knowledge (Oracle, Hadoop, SnowFlake), and experience optimizing SQL queries on large dataset for performance-critical analytics.
Able to work effectively on ambiguous data and constructs within a fast-changing environment, tight deadlines and priority changes
Strong communication skills and ability to explain complex technical topics to both data science peers and non-technical business stakeholders, effectively presenting findings and recommendations to senior executives.
Demonstrated success in partnering cross-functionally, guiding diverse technical teams, aligning business stakeholders, invested in collective success of teams and project outcomes.
About Apple
Sourced by ZipRecruiter
Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Cupertino, CA, US
Year founded
1976