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Phd In Political Science Jobs in Iowa (NOW HIRING)

Master's or PhD in Data Science, Statistics, Mathematics, Computer Science, Economics, or related quantitative discipline. * 8-12+ years of experience in data science, statistical modeling, or ...

... PhD in human physiology or in a biological science specialty is required to serve as a Biochemist ★ Must be a U.S. citizen for Active Duty ★ Must be a permanent U.S. resident to serve in Army ...

... PhD in human physiology or in a biological science specialty is required to serve as a Biochemist ★ Must be a U.S. citizen for Active Duty ★ Must be a permanent U.S. resident to serve in Army ...

... PhD in Chemistry with 4+ years of relevant industry experience OR MS in Chemistry with 8+ years of ... We help visionary companies advance their engineering and science initiatives through access to ...

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Senior Scientist

Charles City, IA · On-site

$99K - $106K/yr

... PhD in Chemistry with 4+ years of relevant industry experience OR MS in Chemistry with 8+ years of ... We help visionary companies advance their engineering and science initiatives through access to ...

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Phd In Political Science information

See Iowa salary details

$23K

$45.5K

$74.2K

How much do phd in political science jobs pay per year?

As of Jul 7, 2026, the average yearly pay for phd in political science in Iowa is $45,452.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,200.00 and $48,800.00 per year, depending on experience, location, and employer.

Is a PhD in Poli Sci worth it?

A PhD in Political Science prepares individuals for careers in academia, research, policy analysis, and government roles, often requiring strong analytical and research skills. While it can lead to high-level positions, it typically involves several years of study and may have limited direct entry-level opportunities, making its value dependent on career goals and industry demand.

What career paths are commonly pursued by individuals with a PhD in Political Science outside of academia?

While many with a PhD in Political Science pursue academic careers, there are also diverse opportunities in government agencies, think tanks, international organizations, nonprofit sectors, and private consulting firms. These roles often involve policy analysis, research, program evaluation, and advising on legislative or diplomatic strategies. Developing strong analytical, writing, and communication skills during your PhD can help you transition into these sectors, where collaboration with interdisciplinary teams and stakeholders is common. Networking and internships during your doctoral studies can further enhance your prospects in non-academic career paths.

What is a PhD in Political Science?

A PhD in Political Science is the highest academic degree in the field, focusing on advanced research, analysis, and theory related to governments, political processes, public policies, and political behavior. Students in these programs typically complete coursework, comprehensive exams, and original research culminating in a dissertation. Graduates often pursue careers in academia, research, policy analysis, or governmental and non-governmental organizations.

What is the average salary for a PhD in political science?

The average salary for a PhD in political science varies by sector and experience, but typically ranges from $60,000 to $120,000 annually. Academic positions such as professors tend to be on the higher end, especially with tenure, while research and policy roles may have different salary scales depending on the organization and location.

What is the difference between Phd In Political Science vs Political Analyst?

AspectPhd In Political SciencePolitical Analyst
Required CredentialsDoctoral degree in Political ScienceBachelor's or Master's in Political Science, related fields, or equivalent experience
Work EnvironmentAcademia, research institutions, think tanksGovernment agencies, media outlets, consulting firms
Employer & Industry UsageUniversities, research organizationsMedia, government, policy organizations
Common Search & ComparisonAcademic & research focusPractical policy analysis & media commentary

The main difference is that a Phd In Political Science is an advanced academic qualification preparing individuals for research, teaching, or scholarly work, while a Political Analyst applies political science knowledge to analyze current events, policies, and trends for media, government, or consulting roles. Both roles require strong understanding of political systems, but their career paths and work environments differ significantly.

What are the key skills and qualifications needed to thrive as a PhD in Political Science, and why are they important?

To thrive as a PhD in Political Science, you need advanced research skills, expertise in political theories, and a doctoral degree in the field. Proficiency with statistical analysis software (such as SPSS, Stata, or R), academic databases, and citation management tools is typical. Strong written and verbal communication, critical thinking, and collaboration skills help set candidates apart. These competencies are vital for producing impactful research, publishing in academic journals, and contributing to policy or academic environments.

Does the FBI like political science majors?

The FBI hires individuals with political science backgrounds for roles in intelligence, analysis, and policy. A political science degree provides skills in research, critical thinking, and understanding government, which are valuable in federal agencies like the FBI. Security clearances and relevant experience are also typically required for employment.

What kind of job can you get with a PhD in political science?

A PhD in political science prepares individuals for careers in academia, research, government, policy analysis, and think tanks. Graduates often work as university professors, policy advisors, political consultants, or analysts, utilizing skills in research, data analysis, and critical thinking.
Principal Data Scientist

Principal Data Scientist

Sedgwick

Des Moines, IA • On-site

Other

This job post has expired today. Applications are no longer accepted.


Sedgwick rating

7.5

Company rating: 7.5 out of 10

Based on 312 frontline employees who took The Breakroom Quiz

198th of 277 rated insurance


Job description

By joining Sedgwick, you'll be part of something truly meaningful. It's what our 33,000 colleagues do every day for people around the world who are facing the unexpected. We invite you to grow your career with us, experience our caring culture, and enjoy work-life balance. Here, there's no limit to what you can achieve.

Newsweek Recognizes Sedgwick as America's Greatest Workplaces National Top Companies

Certified as a Great Place to Work®

Fortune Best Workplaces in Financial Services & Insurance

Principal Data Scientist

Job Responsibilities

  • Lead the design and development of advanced statistical and machine learning models that improve claims outcomes, operational efficiency, and risk management.

  • Serve as the technical authority for complex modeling initiatives including fraud detection, claims severity prediction, litigation risk modeling, and recovery optimization.

  • Develop predictive and prescriptive models using structured and unstructured claims data, including adjuster notes, medical records, and policy documentation.

  • Architect modeling approaches that leverage modern techniques such as gradient boosting, deep learning, NLP, anomaly detection, and probabilistic modeling.

  • Partner with AI Engineering teams to productionize models and integrate them into enterprise AI platforms and operational systems.

  • Design feature engineering strategies and modeling pipelines using large-scale enterprise datasets.

  • Establish best practices for model development, experimentation, validation, and reproducibility.

  • Lead advanced analytical techniques such as causal inference, scenario simulation, and risk scoring methodologies.

  • Build and maintain model evaluation frameworks that measure accuracy, bias, stability, and business impact.

  • Monitor deployed models for drift, degradation, and changing data distributions, and recommend recalibration strategies.

  • Provide technical guidance to data scientists and analysts across the organization.

  • Mentor junior team members on statistical methods, machine learning techniques, and analytical rigor.

  • Translate complex analytical findings into clear, actionable insights for business leaders and operational teams.

  • Collaborate with Claims Operations, Finance, Risk, and IT stakeholders to identify high-impact analytical opportunities.

  • Evaluate external data sources and third-party analytical solutions that enhance predictive capabilities.

  • Ensure analytical methodologies align with enterprise governance standards and regulatory expectations.

  • Contribute to Sedgwick's broader AI and advanced analytics strategy by identifying emerging technologies and modeling approaches.

  • Lead research and innovation initiatives that advance Sedgwick's predictive analytics capabilities.

Qualifications

  • Master's or PhD in Data Science, Statistics, Mathematics, Computer Science, Economics, or related quantitative discipline.

  • 8-12+ years of experience in data science, statistical modeling, or advanced analytics roles.

  • Deep expertise in machine learning algorithms, statistical modeling techniques, and predictive analytics methodologies.

  • Strong programming skills in Python, R, or similar analytical languages.

  • Extensive experience working with large, complex datasets in enterprise environments.

  • Proven experience designing and implementing end-to-end modeling pipelines.

  • Strong understanding of model validation, feature engineering, and performance evaluation techniques.

  • Experience collaborating with engineering teams to deploy models into production systems.

  • Familiarity with distributed data processing tools and modern data platforms preferred.

  • Experience in insurance, claims management, healthcare, or financial services analytics preferred.

  • Ability to communicate advanced analytical concepts to both technical and non-technical stakeholders.

  • Demonstrated ability to lead complex analytical initiatives that drive measurable business value.

  • Strong mentoring and technical leadership capabilities.

#LI-TS1 #remote

Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace.

If you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the right candidate for this or other roles.

Sedgwick is the world's leading risk and claims administration partner, which helps clients thrive by navigating the unexpected. The company's expertise, combined with the most advanced AI-enabled technology available, sets the standard for solutions in claims administration, loss adjusting, benefits administration, and product recall. With over 33,000 colleagues and 10,000 clients across 80 countries, Sedgwick provides unmatched perspective, caring that counts, and solutions for the rapidly changing and complex risk landscape. For more, see sedgwick.com


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