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Salaried Political Data Science Jobs (NOW HIRING)

Complementary degree in political science, communications, or relevant field. MSc/PhD in statistics ... conceptual thinking, data visualisation expertise, and problem-solving ability. Effective ...

Data Science

San Francisco, CA ยท On-site

$90 - $120/hr

Supported by Augmented & Artificial Intelligence, Automation and Data Science we empower our ... A competitive salary, in line with the market and your peers. * Flexible working arrangements. * A ...

Run and validate fundraising models produced by Data Science team In addition, this role may also ... The salary for the Data Analyst position is $84,000 on an annualized basis, commensurate with ...

You will be responsible for data science projects across the healthcare domains of clinical ... The current salary range for this role is $51,900.00 to $87,900.00. This position is also incentive ...

You will be responsible for data science projects across the healthcare domains of clinical ... The current salary range for this role is $51,900.00 to $87,900.00. This position is also incentive ...

Senior Specialist, Data Science

Cambridge, MA ยท Hybrid

$129K - $203K/yr

Senior Data Scientist for Clinical Data Science Realization Team in Rahway About the Role We are ... An employee's position within the salary range will be based on several factors including, but not ...

Senior Specialist, Data Science

Rahway, NJ ยท Hybrid

$129K - $203K/yr

Senior Data Scientist for Clinical Data Science Realization Team in Rahway About the Role We are ... An employee's position within the salary range will be based on several factors including, but not ...

Data Science Principal

San Francisco, CA ยท On-site

$197 - $345/hr

... status, political viewpoint, or other classifications protected by law. This policy applies to ... The typical base salary range for this position is $197,300 - $313,700 annually. In select cities ...

Data Science Engineer

Livermore, CA ยท On-site

$121K - $154K/yr

We have multiple openings for early-career Data Science Engineers to join a team applying machine ... An employee's position within the salary range will be based on several factors including, but not ...

Showing results 21-40

Salaried Political Data Science information

What is a salaried political data scientist?

A salaried political data scientist is a professional who uses statistical analysis, programming, and data modeling techniques to analyze political data for organizations, campaigns, or research institutions. Their work involves gathering and interpreting large datasets related to elections, public opinion, voter behavior, and policy impact. By uncovering patterns and insights, they help inform campaign strategies, policy decisions, and advocacy efforts. As salaried employees, they typically work full-time for political parties, consulting firms, non-profits, or governmental agencies.

What are the key skills and qualifications needed to thrive as a salaried political data scientist?

To thrive as a Salaried Political Data Scientist, you need strong analytical skills, proficiency in statistics, and a background in political science or related fields, often supported by an advanced degree. Familiarity with programming languages like Python or R, expertise in data visualization tools, and experience with databases and statistical modeling are typically required. Strong communication, problem-solving abilities, and the capacity to work under tight deadlines are crucial soft skills for this role. These competencies are essential for transforming complex data into actionable insights that inform political strategies and decision-making.

What are some of the main challenges faced by political data scientists in a salaried position, and how can they be addressed?

One of the main challenges for salaried political data scientists is working with incomplete or rapidly changing datasets, especially during election cycles. Navigating data privacy regulations and ensuring ethical use of voter information can also pose difficulties. Collaboration with campaign strategists and communication teams is vital to translate complex analyses into actionable insights. Staying current with evolving political technologies and methodologies is key to success in this dynamic environment. Continuous learning and cross-functional teamwork can help address these challenges effectively.

What is the difference between Salaried Political Data Science vs Political Data Analyst?

AspectSalaried Political Data SciencePolitical Data Analyst
Required CredentialsBachelor's or higher in Data Science, Political Science, or related fields; often includes programming and statistical certificationsBachelor's degree in Political Science, Data Analysis, or related fields; some roles prefer certifications in data tools
Work EnvironmentResearch teams, campaign offices, government agencies; involves data modeling and predictive analyticsCampaign offices, think tanks, government agencies; focuses on data collection, reporting, and visualization
Employer & Industry UsagePolitical campaigns, government departments, consulting firmsPolitical campaigns, research organizations, policy institutes

Salaried Political Data Scientists typically engage in advanced data modeling, predictive analytics, and machine learning, requiring stronger technical skills. Political Data Analysts focus more on data collection, reporting, and visualization. Both roles are vital in political strategy but differ in technical depth and responsibilities.

How much do political data scientists make?

Political data scientists typically earn between $70,000 and $120,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in data analysis, machine learning, or programming may earn higher salaries. Many also receive benefits such as health insurance and opportunities for professional development.

What cities are hiring for Salaried Political Data Science jobs?

Cities with the most Salaried Political Data Science job openings:

What are the most commonly searched types of Political Data Science jobs?

The most popular types of Political Data Science jobs are:

What states have the most Salaried Political Data Science jobs?

States with the most job openings for Salaried Political Data Science jobs include:

Staff Officer (Data Science)

NATO

Norfolk, VA โ€ข On-site

Full-time

Re-posted 3 days ago


Job description

Post Context

Headquarters Allied Joint Force Command Norfolk (JFCNF) provides a resilient, static Joint headquarters to plan, prepare and conduct operations across all domains in peacetime, crisis and conflict, in order to support NATO's three core tasks, at the Joint Operational level, as directed by SACEUR.

The Communication Directorate is responsible for the management of information activities and capabilities in support of JFCNF policies, operations and activities in order to advance the aims of the Command.

The Information Environment Assessment Branch is responsible for conducting systematic, data-driven analysis and assessment of the Information Environment to support understanding, decision-making and the application of capability in the engagement space.

The incumbent delivers hands-on advanced data analytics in support of Information Environment Assessment (IEA) activities, applying data science techniques such as machine learning, deep learning and advanced visualisations to enhance the quality and operational relevance of IEA products. The role oversees the implementation of data analytics for IEA at JFCNF and contributes to ACO-wide data science activities in line with established technical direction.

Principal Duties:

ย ย ย ย ย ย  Conduct hands-on data analysis and modeling in support of IE assessment, including data exploration, preparation, statistical analysis and the application of machine and deep learning and other advanced analytical techniques.

ย ย ย ย ย ย  Develop and apply advanced or novel analytical approaches to enhance IEA products, including the design of custom data processing pipelines, visualisations, models and rapid prototypes to test and operationalise new analytical concepts.

ย ย ย ย ย ย  Produce high-quality analytical outputs, including reports, briefings and visualisations with clear, evidence-based and actionable recommendations.

ย ย ย ย ย ย  Support the application of data, advanced analytics and AI in support of the IEA capability across Allied Command Operations (ACO) by developing and implementing analytical approaches, models and tools in line with established technical direction.

ย ย ย ย ย ย  Oversee the implementation of data analytics within the IEA branch, ensuring the effective application of tools, methodologies and analytical approaches, and supporting the use of commercially available data analytics tools through the provision of technical guidance and the promotion of best practices to analysts.

ย ย ย ย ย ย  Contribute to the quality, scope and operational relevance of Information Environment Assessments by applying rigorous analytical methods and critical judgement.

ย ย ย ย ย ย  Maintain awareness of emerging analytical methods, tools and data sources relevant to Information Environment Assessment and contribute to their practical application where appropriate.

ย ย ย ย ย ย  Undertake additional duties and assume other responsibilities as directed by the Chain Of Command.

Essential Qualifications / Experience:

ย ย ย ย ย ย  University Degree in statistics, applied mathematics, computer science, economics, operations research or related discipline (i.e., field with strong focus on statistical modelling and machine learning) and 4 years post related experience, or Higher Secondary education and completed advanced vocational training in that discipline leading to a professional qualification or professional accreditation with 6 years post related.

ย ย ย ย ย ย  Minimum of 4 years post-related experience relating to data science, analytics, AI or a related field in line with expertise and competencies outlined for this role.

ย ย ย ย ย ย  Experience of working with large and complex data sets, including both structured (e.g., relational databases, time-series data) and unstructured data (e.g., natural language, sensor data)

ย ย ย ย ย ย  Experience in data transformation, integration and analysis, including cleaning, pre-processing and feature engineering of structured and unstructured data for statistical modelling, machine learning and AI system development.

ย ย ย ย ย ย  Strong background in statistical modelling, machine learning and AI, including the applications of these techniques to real-world problems.

ย ย ย ย ย ย  Experience in developing custom analytical solutions, including the use of programming languages (e.g. Python), for data processing, visualisation and machine and deep learning.

ย ย ย ย ย ย  Experience in qualitative and quantitative data collection, processing and analysis, including working with audience research data (e.g., survey data)

ย ย ย ย ย ย  Demonstrated experience in using analytics and analytical tools to generate actionable insights in support of decision-making.

ย ย ย ย ย ย  Experience in developing reports and data visualisations, with the ability to communicate complex analytical findings as a clear, compelling and evidence-based manner.

Language - English - SLP 3333 - (Listening, Speaking, Reading and Writing)

Desirable Qualifications / Experience:

ย ย ย ย ย ย  Complementary degree in political science, communications, or relevant field.

ย ย ย ย ย ย  MSc/PhD in statistics, applied mathematics, computer science, operational research, economics or related discipline (i.e., field with strong focus on statistical modelling and machine learning)

ย ย ย ย ย ย  Prior working experience in an international organization comprising military and civilian elements or public sector in a military or intelligence community

ย ย ย ย ย ย  Knowledge of subjects of relevance to NATO (e.g. information activities of potentially hostile actors, including their techniques and tactics of online manipulation and persuasion, etc.)

Personal Attributes: The incumbent will need to display a high degree of professionalism, technical expertise, organisational, coordination and communication skills in the performance of their duties. The post requires proactive contributor with strong analytical and technical skills, conceptual thinking, data visualisation expertise, and problem-solving ability. Effective collaboration and team-working skills are essential. Strong interpersonal skills are essential, including the ability to work effectively in a multicultural environment and collaborate with analysts, subject-matter experts and stakeholders across a large organisation. The incumbent must also be able to present information in a clear and logical manner, both in writing and verbally, with a high degree of accuracy and attention to detail. Effective collaboration and team-working skills are essential to success in this role.

Professional Contacts: It is desirable that the incumbent has a wide range of professional contacts with personnel within NATO organisations and agencies, civilian academia and industry. J10 Strategic Communications will increasingly be embedded in a wide network of committees and working groups, with external and internal stakeholders. The incumbent will be required to attend meetings with internal and external participants up to and including ACO and NATO Commanders.

Contribution To Objectives: This post contributes directly to the objectives of the Division. Due to the increasing demand for IEA within the command and across ACO this post's outputs benefit the organization significantly.

Security Clearance - The successful applicant will be required to apply for and receive a NATO SECRET Security Clearance prior to final confirmation of contract and commencement of employment.

Contract - Serving NATO International Civilian staff will be offered a contract in accordance with the NATO Civilian Personnel Regulations. ย Newly recruited staff will be offered a three-year definite duration contract.

Notes for Candidates - The JFC Norfolk Career Site gives full details on the eligibility criteria and application processes to be adopted by all candidates. ย However, candidates should particularly note: Please answer each of the pre-screening questions completely in English. Expressions such as: "please see attached CV, please see annex, please see enclosed document, etc" are not acceptable; this is a cause of immediate rejection of the application. Particular attention should be given to Education and Experience section of your application form, which should be populated with details of your career to date and educational achievements and certifications as they relate to your application.

The candidature of NATO redundant staff at grade G17 will be considered with priority.

NATO will not accept any phase of the recruitment and selection prepared, in whole or in part, by means of generative artificial-intelligence (AI) tools, including and without limitation to chatbots, such as Chat Generative Pre-trained Transformer (Chat GPT), or other language generating tools. NATO reserves the right to screen applications to identify the use of such tools. All applications prepared, in whole or in part, by means of such generative or creative AI applications may be rejected without further consideration at NATO's sole discretion, and NATO reserves the right to take further steps in such cases as appropriate.

NATO is committed to diversity and inclusion, and strives to provide equal access to employment, advancement and retention, independent of gender, age, nationality, ethnic origin, religion or belief, cultural background, sexual orientation, and disability. NATO welcomes applications of nationals from all member Nations and strongly encourages women to apply.

This vacancy will close on 12 Sep 2026@ 17:59hrs (EDT)/11:59hrs (CEST).


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