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Predictive Analytics information

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$27K

$112.7K

$200.5K

How much do predictive analytics jobs pay per year?

As of Sep 11, 2026, the average yearly pay for predictive analytics in the United States is $112,722.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $123,000.00 per year, depending on experience, location, and employer.

What is predictive analytics?

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 the key skills and qualifications needed to thrive in predictive analytics?

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 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 degree do I need for predictive analytics?

Predictive analytics roles typically require at least a bachelor's degree in fields such as statistics, data science, computer science, or mathematics. Advanced positions may prefer or require a master's degree or higher, along with skills in programming languages like Python or R and experience with data analysis tools.

What is a predictive analytics job description?

A predictive analytics job involves analyzing data to identify patterns and develop models that forecast future outcomes. Professionals in this role use statistical techniques, machine learning tools, and programming languages like Python or R to support data-driven decision-making within organizations.

What jobs use predictive analytics?

Predictive analytics is used in a variety of roles such as data analyst, data scientist, business analyst, and risk analyst. These jobs involve analyzing data to forecast trends, improve decision-making, and optimize processes, often requiring skills in statistical modeling, machine learning, and tools like Python or R.
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What states have the most Predictive Analytics jobs?

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Predictive Analytics jobs near you
Infographic showing various Predictive Analytics job openings in the United States as of September 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 100% In-person job distribution, with an average salary of $112,722 per year, or $54.2 per hour.

Principal / Sr. Principal Data Scientist - Machine Learning and Predictive Analytics

Melbourne, FL • On-site

Northrop Grumman Corp. (AU)
Space Research Administration • 10K+ employees
Learn more about Northrop Grumman Corp. (AU)external

Other

Re-posted 12 hours ago

Northrop Grumman rating

8.3

Company rating: 8.3 out of 10

Based on 372 frontline employees who took The Breakroom Quiz

Job description

As a Principal/Sr. Principal Data Scientist, you will lead the development and implementation of machine learning and predictive analytics solutions to drive business growth and innovation. You will work closely with cross-functional teams to identify business opportunities and develop data-driven solutions to drive business outcomes. You will also be responsible for mentoring and leading junior data scientists and engineers to develop their skills and expertise.

Key Responsibilities:

  • Lead the development and implementation of machine learning and predictive analytics solutions to drive business growth and innovation.
  • Collaborate with cross-functional teams to identify business opportunities and develop data-driven solutions to drive business outcomes.
  • Mentor and lead junior data scientists and engineers to develop their skills and expertise.
  • Develop and maintain complex data pipelines and models to support business needs.
  • Stay up-to-date with emerging trends and technologies in machine learning and predictive analytics.

Requirements:

  • Ph.D. in Computer Science, Statistics, Mathematics, or related field.
  • 10+ years of experience in machine learning and predictive analytics.
  • Proven track record of developing and implementing successful machine learning and predictive analytics solutions.
  • Strong leadership and mentoring skills.
  • Experience with AWS and cloud-based technologies.
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What Northrop Grumman employees say

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Hours and flexibility

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About Northrop Grumman

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At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible.

Industry

Space research administration

Company size

10,000+ Employees

Headquarters location

Falls Church, VA, US

Year founded

1939

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