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Remote Political Science Data Analytics Jobs in Spring, TX

Senior Data Scientist - AI & Customer Operations Analytics Location: Houston, TX 4 days onsite. Fridays are remote. Department: Customer Success, Continuous Improvement & AI Transformation Reports To:

Senior Data Scientist - AI & Customer Operations Analytics Location: Houston, TX 4 days onsite. Fridays are remote. Department: Customer Success, Continuous Improvement & AI Transformation Reports To:

Data Scientist

Houston, TX ยท On-site +1

... remote and urban locations to create a sustainable future and so much more. Simply put, Valmont is ... Valmont is seeking a talented individual to join our growing data science team within our shared ...

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ... Master's degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and ...

Data Engineer

Houston, TX ยท On-site +1

$95K - $130K/yr

Modeling & Analytics Reports to : Lead Modeling Scientist Location : Remote Base Salary Range: $95k - $130k General Position Description The Data Engineer is responsible for building and scaling the ...

ACT Science Tutor

Houston, TX ยท Remote

$18 - $40/hr

Advanced Scientific Reasoning Mastery: Deep knowledge of data representation (graphs, tables ... Strategic Data Analysis & Reasoning: Skilled at teaching quick graph reading, variable ...

Modeling Scientist

Houston, TX ยท On-site +1

$100K - $160K/yr

Modeling & Analytics Reports to : Lead Modeling Scientist Location : Remote Base Salary Range ... Partner with data engineers to implement reproducible, scalable modeling pipelines * Contribute to ...

Solution Architect (Remote)

Houston, TX ยท Remote

$64.50 - $85/hr

... analytics and AI-driven insights. * Develop high-throughput data pipelines using Spark, Kafka, and ... Bachelor's degree with a major in computer science or related field from an accredited institution ...

New

BA

Houston, TX ยท Remote

$44 - $68/hr

Hybrid (4 days onsite / Fridays remote) Start Date: ASAP - targeting August 3 Duration: 12-month ... Science, Information Systems, or related field * Proven experience in data analysis, data ...

This role combines expertise in data analytics, KPI reporting, process improvement, and stakeholder ... Remote + Ability to travel to account sites as needed (typically less than 20%).Primary office ...

This role combines expertise in data analytics, KPI reporting, process improvement, and stakeholder ... Remote + Ability to travel to account sites as needed (typically less than 20%).Primary office ...

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Remote Political Science Data Analytics information

See Spring, TX salary details

$21

$48

$84

How much do remote political science data analytics jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for remote political science data analytics in Spring, TX is $48.72, according to ZipRecruiter salary data. Most workers in this role earn between $39.13 and $55.19 per hour, depending on experience, location, and employer.

What is the difference between Remote Political Science Data Analytics vs Political Data Analyst?

AspectRemote Political Science Data AnalyticsPolitical Data Analyst
Required CredentialsBachelor's or higher in Political Science, Data Analytics, or related fieldsBachelor's or higher in Political Science, Data Analytics, or related fields
Work EnvironmentRemote, often freelance or contract-basedTypically office-based or remote, depending on employer
Employer & Industry UsageGovernment agencies, research firms, NGOs, think tanksGovernment agencies, political campaigns, research organizations
Common Search & ComparisonYesYes

Remote Political Science Data Analytics involves analyzing political data remotely, often with a focus on research or policy. Political Data Analysts typically work on political campaigns or government projects, sometimes onsite. Both roles require similar credentials and are used across government and research sectors, but Remote Political Science Data Analytics emphasizes remote work flexibility.

What are popular job titles related to Remote Political Science Data Analytics jobs in Spring, TX? For Remote Political Science Data Analytics jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Remote Political Science Data Analytics jobs in Spring, TX look for? The top searched job categories for Remote Political Science Data Analytics jobs in Spring, TX are:
What cities near Spring, TX are hiring for Remote Political Science Data Analytics jobs? Cities near Spring, TX with the most Remote Political Science Data Analytics job openings:

Senior Product Manager, Life Sciences Data Products

Beacon Talent

Houston, TX โ€ข On-site, Remote

$152K - $158K/yr

Full-time

Re-posted 16 days ago


Job description

Senior Product Manager, Life Sciences Data Products (Applied AI)

Location: U.S. (Remote-first) with optional hub-based hybrid
Employment: Full-time
Level: Senior IC (high ownership)
Start: ASAP / Flexible

Beacon Talent is leading a confidential search for a venture-backed company building an applied AI + data platform that supports life sciences teams (biopharma, medtech, and research organizations) with secure access to real-world clinical datasets and tooling that accelerates discovery and development while maintaining high standards for privacy, quality, and responsible use.

The Role

As Senior Product Manager, Life Sciences Data Products, you will own the strategy and execution for a portfolio of data-driven products used by life sciences customers to find, access, evaluate, and operationalize complex clinical datasets for R&D and clinical development workflows.

This is a hands-on, high-agency roleโ€”ideal for a PM who loves ambiguous problem spaces, can translate market signals into crisp product bets, and can partner deeply with engineering and data teams to ship scalable product capabilities.

What Youโ€™ll Own
  • Product vision & roadmap: Define the life sciences product strategy, identify the highest-leverage problems, and translate them into a sequenced roadmap with measurable outcomes.

  • Discovery & validation: Run customer interviews, workflow mapping, and opportunity sizing to determine what to build, what to standardize, and what to avoid as one-off services.

  • Scalable data products: Build repeatable โ€œproductizedโ€ capabilities that improve dataset usability, governance, search/retrieval, cohort building, and downstream analytics readiness.

  • AI-assisted workflows: Partner with technical teams to design automation that reduces friction in data access and analysis (e.g., metadata enrichment, quality signals, dataset packaging, evaluation tooling).

  • Execution leadership: Write requirements, define success metrics, manage tradeoffs, and drive delivery from concept through launchโ€”iterating based on usage and customer outcomes.

  • Cross-functional alignment: Collaborate closely with go-to-market partners to ensure positioning, packaging, and feedback loops inform the roadmap without turning the product into custom projects.

  • Market awareness: Stay current on life sciences R&D and clinical development trends and incorporate them into differentiation and product choices.

What Weโ€™re Looking For

Required

  • 5+ years building data products or platforms for life sciences and/or healthcare customers.

  • Strong product discovery muscle: customer interviews, problem framing, prioritization, and roadmap ownership.

  • Technical fluency across data infrastructure, APIs, pipelines, and working concepts in ML-enabled products (no need to code).

  • Track record partnering with engineering and data teams to deliver complex, high-impact product work.

  • Excellent communicationโ€”credible with technical teams and clear with non-technical stakeholders.

  • Comfort operating in a fast-moving environment with evolving inputs and limited process.

Nice to have

  • 0โ†’1 product experience or taking early products to scale in a regulated domain.

  • UX/product design sensibility with strong intuition for end-user workflows.

  • Prior experience in analytics, data science, or experimentation.

  • Familiarity with privacy, governance, and quality frameworks for sensitive datasets.

Why This Role
  • Direct ownership of a high-impact roadmap at the intersection of life sciences + data platforms + applied AI

  • Meaningful influence over what becomes productized vs. service-heavy

  • Close collaboration with technical leadership and high visibility across the company

Compensation

Competitive base + equity + benefits. (Exact range varies by level and location and will be shared during the process.)