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Manager Political Data Science Jobs (NOW HIRING)

Data Science Manager

Columbia, MD · On-site

$125K - $160K/yr

For more information, visit www.blend360.com We are seeking a skilled and versatile Data Science Manager with AI familiarity to join our growing team. In this role, you'll collaborate with practice ...

Data Science Manager

San Francisco, CA · On-site

$160K - $220K/yr

We're looking for a Data Science Manager to lead our growing AI product data science function. This is a foundational role focused on building and managing a small team of data scientists working on ...

Data Science Manager

New York, NY · On-site

$160K - $220K/yr

We're looking for a Data Science Manager to lead our growing AI product data science function. This is a foundational role focused on building and managing a small team of data scientists working on ...

We're looking for a Data Science Manager to lead our growing AI product data science function. This is a foundational role focused on building and managing a small team of data scientists working on ...

As a Manager, Data Science, you will become a subject matter expert, defining projects and their execution. Leading small teams of indirect reports, you'll influence and mentor teams in best ...

Data Science Manager

New York, NY · On-site

$300K - $400K/yr

As a Data Science Manager , you will need to work closely with business leaders and convert their long-term strategic goals into tangible machine learning projects executed by your team at a day-to ...

MANAGER, DATA SCIENCE The Manager of Data Science will build and lead a focused, high-impact team solving complex, high-value business problems through applied data science. This role defines how ...

Manager, Data Science

Chicago, IL

$136.16K - $204.24K/yr

OverviewThe Data Science Manager II will lead a team focused on delivering business insights using data science expertise/techniques/tools that materially improve critical decisions by senior ...

For more information, visit www.blend360.com We are seeking a skilled and versatile Data Science Manager with AI familiarity to join our growing team. In this role, you'll collaborate with practice ...

For more information, visit www.blend360.com We are seeking a skilled and versatile Data Science Manager with AI familiarity to join our growing team. In this role, you'll collaborate with practice ...

Manager, Data Science Location: Wilmington, DE (Hybrid Schedule) OneMain Financial is seeking a Data Science Manager based out of Wilmington, DE, to join our innovative and fast-moving Data Science ...

We're looking for a Data Science Manager to lead our growing AI product data science function. This is a foundational role focused on building and managing a small team of data scientists working on ...

Data Science Manager

New York, NY · Remote

$70 - $100/hr

Data Science Experts Type: Contract Compensation: $70-$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams on data science methodology ...

Data Science Manager

Irvine, CA · On-site

$119.13K - $197.73K/yr

The Manager Data Science is responsible for architecting, building, and deploying production-grade machine learning models, AI solutions, and data products while leading a team of advanced data ...

Manager Data Science Position Overview The Paylocity Data Science team is focused on building ... political affiliation, race, religion or spiritual belief, sexual orientation, socio-economic ...

As the Manager, Data Science, you'll lead a team of data scientists as they apply data science to solve complex business problems. You'll play a key role in shaping the direction of the Data Science ...

The Manager Data Science is responsible for architecting, building, and deploying production-grade machine learning models, AI solutions, and data products while leading a team of advanced data ...

KPMG is currently seeking a Manager, Data Science to join our Consulting practice. Responsibilities: * Translate advanced business analytics problems into technical approaches that yield actionable ...

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Manager Political Data Science information

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$31K

$97.1K

$172K

How much do manager political data science jobs pay per year?

As of Jun 1, 2026, the average yearly pay for manager political data science in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

What is the highest paid job in political science?

In political science, senior roles such as political science directors, policy directors, or chief data officers often have the highest salaries, especially in government agencies, think tanks, or large organizations. These positions typically require advanced degrees, extensive experience, and strong analytical and leadership skills, with salaries reaching six figures or more depending on the organization and location.
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Data Science Manager

Data Science Manager

Blend360

Columbia, MD • On-site

$125K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Job description

Company Description
Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com
Job Description
We are seeking a skilled and versatile Data Science Manager with AI familiarity to join our growing team. In this role, you'll collaborate with practice leaders, engineers, and cross-functional stakeholders to solve complex business challenges using data science and AI-driven approaches. You'll work on end-to-end data science initiatives, with opportunities to design and implement cutting-edge generative AI (GenAI) and LLM-powered solutions.
Key Responsibilities
Data Science & Analytics
  • Partner with practice leaders and clients to understand business problems, industry context, data sources, risks, and constraints.
  • Translate business needs into actionable data science solutions, evaluating multiple approaches and clearly communicating trade-offs.
  • Collaborate with stakeholders to align on methodology, deliverables, and project roadmaps.
  • Leverage Machine Learning and Data Analysis to optimize marketing campaigns
  • Conduct A/B tests to improve campaign performance measure campaign effectiveness, and increase engagement and conversion rates.

AI & Generative AI Collaboration
In addition to traditional data science responsibilities, you will collaborate with AI and engineering teams to:
  • Design and implement production-grade AI solutions leveraging LLMs, transformers, retrieval-augmented generation (RAG), agentic workflows, and generative AI agents.
  • Optimize prompt design, workflows, and pipelines for performance, accuracy, and cost-efficiency.
  • Build multi-step, stateful agentic systems that utilize external APIs/tools and support robust reasoning.
  • Deploy GenAI models and pipelines in production (API, batch, or streaming) with a focus on scalability and reliability.
  • Develop evaluation frameworks to monitor grounding, factuality, latency, and cost.
  • Implement safety and reliability measures such as prompt-injection protection, content moderation, loop prevention, and tool-call limits.
  • Work closely with Product, Engineering, and ML Ops to deliver robust, high-quality AI capabilities end-to-end.
  • Develop and manage detailed project plans including milestones, risks, owners, and contingency plans.
  • Create and maintain efficient data pipelines using SQL, Spark, and cloud-based big data technologies within client architectures.
  • Collect, clean, and integrate large datasets from internal and external sources to support functional business requirements.
  • Build analytics tools that deliver insights across domains such as customer acquisition, operations, and performance metrics.
  • Perform exploratory data analysis, data mining, and statistical modeling to uncover insights and inform strategic decisions.
  • Train, validate, and tune predictive models using modern machine learning techniques and tools.
  • Document model results in a clear, client-ready format and support model deployment within client environments.

Qualifications
Required Skills & Experience
  • 5+ years of hands-on experience in Data Science, including model building and ML Ops
  • Experience in email marketing and direct marketing
  • Experience managing people
  • Proficiency in Python, SQL, and tools like Pandas, Scikit-learn, NLTK/spaCy, and Spark
  • Familiarity with digital marketing ecosystem (e.g., clickstream analytics) and recommendation systems
  • Experience deploying models via APIs or integrating them into batch processing pipelines
  • Working knowledge of cloud data platforms (e.g., AWS S3, Redshift, GCP, Azure)
  • Ability to manage data pipelines and ETL processes with a solid understanding of data engineering best practices
  • Strong communication and collaboration skills, including experience engaging directly with clients

Preferred Qualifications
  • Exposure to ML Ops tools such as MLflow, Kubeflow, or SageMaker
  • Experience working in Agile environments with cross-functional teams

Additional Information
The starting pay range for this role is $125,000 - $160,000. Actual compensation within the range will be dependent on several factors including but not limited to relevant experience, skills, certifications, training, and location. It is not typical for an individual to be hired at or near the top of the range and determining factors for compensation are considered for each individual circumstance. BLEND360 also offers a competitive benefits program to meet the health and financial well-being of our team and their families. You can look forward to a range of benefits including medical, dental, vision, 401K, PTO, paid holidays, commuter benefits, spending accounts, life insurance, disability coverage, and EAPs.