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Overnight Political Science Data Analytics Jobs in Riverside, CA

Fujifilm

Director Data AI & Analytics

Irvine, CA · On-site

Lead data science programs for manufacturing quality, supply chain, and R&D. * Own bioinformatics ... political creed, ideology, national, or social origin, disability, veteran status, etc. ADA ...

San Manuel Casino

Sr. Data Engineer

Highland, CA · On-site

$113K - $136K/yr

Bachelor's degree in Data Science, Data Analytics, Data Engineering, Computer Science, Software Engineering, Information Systems, Statistics, Mathematics, Business Analytics, Economics, Finance, or a ...

Tiger Analytics

Manager, BI Consulting

Diamond Bar, CA · On-site

$110 - $170/hr

Our consultants bring deep expertise in Data Science, Data Analytics, Data Engineering, Business Intelligence, Machine Learning and AI. Our business value and leadership have been recognized by ...

Bio-Rad Laboratories

Data Scientist II

Irvine, CA · On-site

$121K - $166K/yr

This role focuses on building and supporting data science models that are used in operational settings. You will work with other data scientists and domain experts to analyze data, develop models ...

Bio-rad Laboratories, Inc.

Data Scientist II

Irvine, CA

$121K - $166K/yr

This role focuses on building and supporting data science models that are used in operational settings. You will work with other data scientists and domain experts to analyze data, develop models ...

Fujifilm

Director Data AI & Analytics

Irvine, CA · Hybrid

Lead data science programs for manufacturing quality, supply chain, and R&D. * Own bioinformatics ... political creed, ideology, national, or social origin, disability, veteran status, etc. ADA ...

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Showing results 21-40

All JobsPolitical Science Data Analytics JobsOvernight Political Science Data Analytics JobsOvernight Political Science Data Analytics Jobs in Riverside, CA

Overnight Political Science Data Analytics information

See Riverside, CA salary details

$159.6K

$186.5K

$210.7K

How much do overnight political science data analytics jobs pay per year?

As of Aug 7, 2026, the average yearly pay for overnight political science data analytics in Riverside, CA is $186,484.00, according to ZipRecruiter salary data. Most workers in this role earn between $172,700.00 and $199,800.00 per year, depending on experience, location, and employer.

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

AspectOvernight Political Science Data AnalyticsPolitical Data Analyst
CredentialsBachelor's or Master's in Political Science, Data Analytics, or related fieldsBachelor's or Master's in Political Science, Data Analysis, or related fields
Work EnvironmentNight shifts, data processing centers, or remoteDay shifts, office settings, or remote
Employer & IndustryPolitical campaigns, research institutes, government agenciesPolitical campaigns, think tanks, government agencies
Work FocusAnalyzing political data overnight to support decision-makingInterpreting political data during regular hours for strategy and reporting

Overnight Political Science Data Analytics involves working during night shifts to analyze political data, often supporting urgent or time-sensitive projects. In contrast, Political Data Analysts typically work during regular hours, focusing on interpreting data for strategic insights. Both roles require similar educational backgrounds but differ mainly in work hours and environment.

What are the most commonly searched types of Political Science Data Analytics jobs in Riverside, CA? The most popular types of Political Science Data Analytics jobs in Riverside, CA are:
Overnight Political Science Data Analytics jobs near you

Director Data AI & Analytics

Fujifilm

Irvine, CA • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Fujifilm rating

8.4

Company rating: 8.4 out of 10

Based on 67 frontline employees who took The Breakroom Quiz

50th of 536 rated manufacturers

Job description

Position Overview
Position Description
We are hiring a Director Data, AI and Analytics. The Director Data, AI and Analytics will own the strategy, platforms, operating model, and outcomes for Data, AI, and Analytics across three FUJIFILM life-sciences businesses. In highly regulated GxP environments, deliver a trusted data backbone, governed self-service analytics, advanced analytics, bioinformatics pipelines, and agentic AI-meeting 21 CFR Part 11/EU Annex 11, ALCOA+, and CSV/CSA expectations. Lead a cross-site team (CoE + domain squads), partner with QA/CSV, Security, Lab IT, M&Q Systems, and ERP, and convert data and AI into measurable business value.
This position is hybrid in Irvine, CA.
Company Overview
At FUJIFILM Biosciences, we turn curiosity into breakthroughs that advance the field of life sciences. By offering a comprehensive portfolio of products and services in cell culture media, discovery research reagents, recombinant growth factors and proteins, fine chemicals, and critical assay materials, we partner with the brightest minds in biotech and pharma to tackle the world's biggest health challenges.
Imagine being part of a team that enables life-changing discoveries like new vaccines, therapies, and advancements in regenerative medicine. Our culture fosters curiosity, collaboration, and innovation, and we pride ourselves on delivering unparalleled quality and service to our partners. If you're ready to make an impact, your future belongs with us at FUJIFILM Biosciences.
Our headquarters in Santa Ana, California, is surrounded by world-class schools, lush parks, and scenic beaches like Laguna and Huntington, making it an ideal place to live, work, and explore. With additional campuses across the US, Europe, China, and Japan, we offer opportunities to make a difference worldwide.
Fujifilm is globally headquartered in Tokyo with over 70,000 employees across four key business segments of healthcare, electronics, business innovation, and imaging. We are guided and united by our Group Purpose of "giving our world more smiles." Visit: https://www.fujifilm.com/us/en/about/region/careers
Job Description
Responsibilities:
  • Define the multi-year Data/AI roadmap for locations in California and Wisconsin; align to business priorities and compliance needs.
  • Stand up a Data, AI & Analytics Center of Excellence with domain-aligned product squads (M&Q, R&D/Bioinformatics, Finance/SC).
  • Run governance: Data & AI Steering Committee, Model Risk & Compliance Board; assign data product ownership.
  • Own the enterprise data platform (lakehouse/warehouse), ingestion (ELT/CDC), orchestration, and semantic/metric layers.
  • Implement catalog/lineage, data quality rules, access controls; drive data product SLAs and ownership.
  • Integrate core systems: MES (e.g., PAS-X), QMS (ETQ/Veeva), LIMS/ELN (LabWare/Benchling), ERP (e.g., SAP/Oracle), OSI PI/AVEVA, and instrument data hubs.
  • Deliver executive and operational analytics (FPY/yield, OEE, deviation/CAPA TAT, batch release, QC throughput, inventory turns, cost-to-serve).
  • Enable governed self-service (certified datasets/semantic models, KPI library, training, community of practice).
  • Lead data science programs for manufacturing quality, supply chain, and R&D.
  • Own bioinformatics analytics and pipelines (e.g., NGS/omics workflows, imaging pipelines, assay analytics) and integration with lab systems and data platforms.
  • Build responsible and agentic AI capabilities (assistants/co-pilots, retrieval/grounding, task automation) with MLOps (experiment tracking, model registry, CI/CD, monitoring, retraining). Separate GxP vs non-GxP AI; ensure intended use, explainability, validation/CSA, and periodic review for regulated models.
  • Embed compliance by design: 21 CFR Part 11, Annex 11, ALCOA+, data retention/archival, audit trails.
  • Partner with QA/CSV on risk-based validation, test evidence, and inspections; maintain validated state for applicable analytics/data flows.
  • Coordinate with Corporate Security on classification, RBAC/least privilege, encryption, logging/monitoring, and incident response for data/AI workloads.
  • Govern AI safety: model cards, red-team testing, bias/fairness checks, PHI/PII safeguards, vendor due diligence.
  • Prioritize a portfolio of use cases with quantified value; pilot, scale winners, retire low-value work.
  • Publish a quarterly "Data & AI Outcomes" report (business impact, adoption, cost/performance, compliance posture).
  • Select and govern platform vendors (cloud, data/ML, BI, bioinformatics tools) and SIs; negotiate commercials, SLAs, exit terms.
  • Drive FinOps: usage visibility, rightsizing, tiered storage, and cost/performance optimization.
  • Hire and develop data/platform/analytics engineers, data scientists/ML engineers, bioinformatics engineers, and product managers.
  • Build cross-site career paths and a culture of reliability, compliance, and measurable impact.

Required Skills/Education:
  • BS/BA (or equivalent) in Business, Computer Science, Data Science or Bioinformatics or similar.
  • 10+ years leading Data/Analytics functions with 5+ years in regulated life sciences (biotech, pharma, CDMO); multi-site/global experience.
  • Demonstrated people management experience, including building, mentoring, and leading high-performing teams.
  • Ownership of enterprise data platforms (lakehouse/warehouse), analytics programs, and MLOps in production.
  • Strong GxP/CSV/CSA knowledge with practical application in analytics/AI and data flows; 21 CFR Part 11/Annex 11/ALCOA+.
  • Hands-on familiarity with bioinformatics analytics/pipelines (e.g., NGS/omics, imaging, workflow orchestration) and integration with LIMS/ELN and lab systems.
  • Proven record converting Data/AI programs into business outcomes (e.g., cycle time, yield/FPY, cost, quality).
  • Cross-functional leadership with QA/CSV, Manufacturing/Quality, R&D, Security, ERP/MES/QMS owners, and vendors.
  • Excellent executive communication and pragmatic technical guidance.
  • Platforms: Databricks/Snowflake/BigQuery; Azure/AWS data services; Spark; DBT; Airflow/Prefect; Kafka/EventHub.
  • BI: Power BI/Tableau; semantic/metrics layers; KPI governance.
  • MLOps/AI: MLflow/W&B, SageMaker/Azure ML; vector DBs/RAG; LLM orchestration; agent frameworks; feature stores.
  • Bioinformatics: Nextflow/Snakemake, CWL/WDL; common tools (e.g., GATK) or imaging/omics pipelines; HPC/containers.
  • Governance: Collibra/Alation/Atlan; model risk management/AI governance.
  • Certifications: GAMP 5/CSA, ITIL, cloud (Azure/AWS), or data governance certifications.
  • Ability to speak, read, and write in English.
  • Good verbal and written communication skills; effective presentation skills.

Salary and Benefits:
  • For California, the base salary range for this position is $154,565.00 - $216,100. Compensation for the successful candidate will depend on various factors (e.g., qualifications, education, prior experience, location, etc.).
  • Medical, Dental, Vision
  • Life Insurance
  • 401k
  • Paid Time Off

*#LI-hybrid
EEO Information
Fujifilm is committed to providing equal opportunities in hiring, promotion and advancement, compensation, benefits, and training regardless of nationality, age, gender, sexual orientation or gender identity, race, ethnicity, religion, political creed, ideology, national, or social origin, disability, veteran status, etc.
ADA Information
If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to our HR Department (flbi@fujifilm.com).

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About Fujifilm

Sourced by ZipRecruiter

With each Industry we enter, We’ve learned to Leverage and Adapt our knowledge, Expertise and rRsources to make the World a better place. When it comes to Innovating for a Healthier World and a more sustainable society, we’ll NEVER STOP. Fujifilm will contribute to the social challenges by creating new value in a wide range of business domains through innovation in Products, Services, and Technological Development. We launched our Healthcare Business with X-ray film in 1936. And now, We are developing our business in areas of prevention, diagnosis, and treatment as a Comprehensive Healthcare Company. We will never stop Innovating for a Healthier World.

Industry

Chemical manufacturing

Company size

10,000+ Employees

Headquarters location

Minato-ku, Tokyo, JP

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