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Manager Political Science Data Analytics Jobs in Oregon

SOSi

Data Scientist

Myrtle Point, OR

Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required.

SOSi

Data Scientist

OR

Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required.

Under Armour, Inc.

Sr. Data Analytics Engineer

OR · On-site +1

$125K - $165K/yr

Purpose of Role Under Armour is seeking a highly motivated Sr. Data Analytics Engineer to join our Enterprise Data Management & Analytics team. This role plays a key part in enabling decision ...

BlueLabs, Inc.

Director, Political & Commercial Insights

OR · On-site +1

$140K - $160K/yr

The BlueLabs Insights practice works with non-profit, political, and private sector clients to ... Oversee a team of data scientists, analysts, and project managers in executing workstreams and ...

Aptive

Architect and manage integrations between the AI Education Hub and VA learning management systems ... Design, analyze, and validate healthcare-specific data models within cloud-based analytic ...

Emerus

Master's degree in Healthcare Management, Data Analytics, Healthcare Informatics, Healthcare Data Science or related field. Employment Type: FULL_TIME

LMI

Bachelor's degree in Information Systems, Computer Science, Business, Data Analytics, Logistics, Supply Chain Management, Operations Research, Engineering, or a related discipline. * Ten or more ...

Varsity Tutors

Data Science Tutor

Portland, OR · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

SOSi

Data Scientist with Security Clearance

Astoria, OR · On-site

Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required.

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Manager Political Science Data Analytics information

What are the key skills and qualifications needed to thrive as a manager political science data analytics, and why are they important?

To thrive as a Manager in Political Science Data Analytics, you need a strong background in political science, statistical analysis, and data interpretation, typically supported by an advanced degree in political science, statistics, or a related field. Expertise with data analytics tools like R, Python, SQL, and visualization platforms such as Tableau or Power BI, along with knowledge of data management systems, is essential. Strong leadership, critical thinking, and effective communication skills help you manage teams and clearly present complex insights to stakeholders. These competencies are vital for transforming data into actionable policy insights and guiding strategic decision-making within political or public sector organizations.

What does a manager political science data analytics do?

A Manager of Political Science Data Analytics leads teams that gather, analyze, and interpret data related to political science topics, such as voter behavior, election results, public opinion, and policy outcomes. They design research methodologies, oversee data collection and cleaning, and use statistical tools to find insights that inform political strategy or academic research. Additionally, they are responsible for communicating findings to stakeholders, ensuring the accuracy of the analysis, and staying updated with the latest trends in data analytics and political science.

How does a manager political science data analytics typically collaborate with cross-functional teams to support research initiatives?

A Manager Political Science Data Analytics often works closely with researchers, policy analysts, and IT professionals to design and implement data-driven research projects. They act as a bridge between technical data teams and subject matter experts, ensuring that data collection, analysis, and interpretation align with the goals of the research. Regular meetings, clear communication of analytical findings, and collaborative problem-solving are key aspects of the role. This collaborative environment helps translate complex data insights into actionable recommendations for policy development or academic research.
What are the most commonly searched types of Political Science Data Analytics jobs in Oregon? The most popular types of Political Science Data Analytics jobs in Oregon are:
What cities in Oregon are hiring for Manager Political Science Data Analytics jobs? Cities in Oregon with the most Manager Political Science Data Analytics job openings:
Manager Political Science Data Analytics jobs near you

Data Scientist

SOSi

Myrtle Point, OR

Full-time

Re-posted 20 days ago

Job description

Company Description

Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.

Job Description

SOSi is seeking a Data Scientist to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities.

Essential Job Duties:

  • The contractor shall develop and refine predictive models, conduct exploratory data analysis, and generate AI-driven insights to enhance intelligence and operational planning.
  • The contractor shall integrate customer feedback into model iteration cycles, leveraging Agile development methodologies to maintain responsiveness to mission requirements.
  • The contractor shall submit the Predictive Model Performance Report, documenting key findings, model accuracy metrics, and operational impact assessments.
  • The contractor shall implement sprint-based Agile methodologies, ensuring rapid development cycles, backlog grooming, and alignment with mission requirements.
  • The contractor shall provide a Rough Order of Magnitude (ROM) Estimate Report before each analytics project, detailing expected Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure requirements.
  • The contractor shall conduct quarterly reviews to track cost efficiency, assess system performance, and optimize analytic workflows through the Quarterly Cost & Resource Utilization Report.
Qualifications
  • Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field, or;
    • seven (7) years of equivalent experience in machine learning and predictive modeling. 
  • Proposed personnel possess the knowledge and capability to develop and refine predictive models, analyze large-scale datasets, and document analytic processes.
  • Proficient in data mining, statistical modeling, and AI-driven forecasting techniques, with experience in working with structured and unstructured data sources.
  • Knowledge of data visualization, feature selection, and geospatial analytics is required.
  • Personnel must be capable of integrating data from multiple sources, ensuring model accuracy, and working within an Agile sprint cycle to deliver iterative improvements.
  • Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required.
  • Personnel must have experience in cloud-based AI/ML tools, such as AWS SageMaker or Azure Machine Learning, and in implementing models into operational workflows.

Preferred Qualifications:

  • Desirable but not required certifications include AWS Certified Data Analytics – Specialty, Microsoft Certified: Azure AI Fundamentals, or Certified Data Scientist (CDS).

Additional Information

Work Environment

  • Full remote flexibility.

Working at SOSi

All interested individuals will receive consideration and will not be discriminated against for any reason.