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Executive Predictive Analytics Jobs (NOW HIRING)

Microsoft AI

Senior Applied Scientist

Redmond, WA · On-site

... senior executives in making key business decisions. Qualifications : Required : • Bachelor ... predictive analytics, research) • OR Master's Degree in Statistics, Econometrics, Computer ...

Microsoft

Senior Applied Scientist

Mountain View, CA · On-site

... senior executives in making key business decisions. Qualifications : Required : • Bachelor ... predictive analytics, research) • OR Master's Degree in Statistics, Econometrics, Computer ...

Peraton

CYBER SYSTEMS ENGINEERING MANAGER

Lanham, MD · On-site

$110.80K - $149.70K/yr

... deliver executive briefings, white papers, status reports, dashboards, and presentations. • Oversee predictive analytics, machine learning, and forensic analysis activities used to identify ...

Peraton

Cyber Systems Engineering Manager

Lanham, MD · On-site

$135K - $216K/yr

Prepare and deliver executive briefings, white papers, status reports, dashboards, and presentations. Fraud Analytics & Operational Support * Oversee predictive analytics, machine learning, and ...

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Executive Predictive Analytics information

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$26.5K

$93.6K

$184K

How much do executive predictive analytics jobs pay per year?

As of May 30, 2026, the average yearly pay for executive predictive analytics in the United States is $93,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $120,500.00 per year, depending on experience, location, and employer.

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 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.

More about Executive Predictive Analytics jobs
What cities are hiring for Executive Predictive Analytics jobs? Cities with the most Executive Predictive Analytics job openings:
What are the most commonly searched types of Predictive Analytics jobs? The most popular types of Predictive Analytics jobs are:
What states have the most Executive Predictive Analytics jobs? States with the most job openings for Executive Predictive Analytics jobs include:
What job categories do people searching Executive Predictive Analytics jobs look for? The top searched job categories for Executive Predictive Analytics jobs are:
Executive Predictive Analytics jobs near you
Infographic showing various Executive Predictive Analytics job openings in the United States as of May 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 84% Physical, and 16% Remote job distribution, with an average salary of $93,552 per year, or $45 per hour.

Senior Applied Scientist

Microsoft AI

Redmond, WA • On-site

Full-time

Posted 4 days ago

Job description

Job Summary:
Microsoft AI is a division of Microsoft focusing on advancing AI technologies. They are seeking a Senior Applied Scientist with expertise in Machine Learning and Generative AI to build and optimize large-scale models and deliver impactful insights.
Responsibilities:
• Building and owning production machine learning models to improve results.
• Working hands on with SOTA generative models like Qwen, Llama, Mistral, GPT and others, to deliver big impact.
• Finding insights and forming hypothesis on large-scale data with various machine learning, feature engineering, statistical, and data mining techniques: e.g. regression, classification, NLP, optimization.
• Professional working experience on prompt engineering with large LLMs like GPT, Gemini, Claude etc.
• Designing experiments, understanding the resulting data, and producing actionable, trustworthy conclusions from them.
• Wrangling large amounts of data (think petabytes) using various tools, including open-source ones and your own. All programming languages are welcome, especially Python, C#, R, C++, Java, and SQL.
• Taking complex problems and the associated data and giving the answers in a concise form to assist senior executives in making key business decisions.
Qualifications:
Required:
• 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)
• OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
• OR equivalent experience.
• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred:
• Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
• OR equivalent experience.
• Proficient oral and writing skills.
Company:
Microsoft AI is a software development company. Founded in 2024, the company is headquartered in Redmond, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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