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Remote Data Privacy Jobs in Berkeley, CA (NOW HIRING)

6sense

Sr. Data Scientist

San Francisco, CA · Remote

$162K - $238K/yr

... remote Notice of Collection and Use of Personal Information for California Residents ... California Recruitment Privacy Notice and Policy

Fastly

Senior Data Security Architect

San Francisco, CA · On-site +1

$181K - $217K/yr

Serve as the technical bridge between Fastly's data governance and privacy policies and the ... Remote United States or Canada Fastly currently embraces a largely hybrid model for most roles ...

Trustpoint.One

Be Seen First

Legal Administrative Assistant

San Francisco, CA · Remote

$30 - $35/hr

This position is fully remote - (candidate must reside in California) and will support busy ... Follow all applicable information security, data privacy, and acceptable use policies as ...

QuinStreet

Lead Data Analyst

Foster City, CA · Remote

$120K - $160K/yr

... REMOTE QuinStreet is an equal opportunity employer. We do not discriminate on the basis of race ... Please see QuinStreet's Employee Privacy Notice here.

Gunderson LLC

Systems Integration Developer

Redwood City, CA · On-site +1

$150K - $180K/yr

Ensure secure, efficient Azure-hosted environments and enforce best practices for data privacy and ... Hybrid schedule, may be considered for remote eligible The annualized base salary range for this ...

Jobot

Family Law Attorney (Remote)

San Francisco, CA · Remote

$175K - $275K/yr

... Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding ... Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You ...

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Showing results 21-40

All JobsData Privacy JobsRemote Data Privacy JobsRemote Data Privacy Jobs in Berkeley, CA

Remote Data Privacy information

What is a remote data privacy professional?

A Remote Data Privacy professional is someone who works from a remote location to ensure that an organization’s data collection, storage, and usage practices comply with privacy laws and regulations. They help protect sensitive information, develop privacy policies, and advise on best practices for handling data securely. These professionals may also conduct risk assessments, respond to data breaches, and train staff on privacy protocols. Their work is crucial for maintaining trust with clients and avoiding legal penalties related to data misuse.

What are some common challenges faced by remote data privacy professionals and how can they be addressed?

Remote data privacy professionals often face challenges such as ensuring secure data handling practices across different devices and networks, staying updated with global privacy regulations, and maintaining effective communication with cross-functional teams. To address these, professionals should leverage encrypted communication tools, follow strict data access protocols, and participate in regular training on evolving compliance requirements. Collaborating closely with IT, legal, and business units helps ensure that privacy standards are consistently met, even in a distributed work environment.

What are the key skills and qualifications needed to thrive as a remote data privacy professional, and why are they important?

To excel as a Remote Data Privacy professional, you need a strong understanding of data protection laws (like GDPR and CCPA), risk assessment, and compliance frameworks, usually supported by a relevant degree or certification (such as CIPP or CIPM). Familiarity with data governance tools, privacy management systems, and encryption technologies is typically required. Exceptional attention to detail, problem-solving abilities, and strong communication skills set top performers apart in this role. These skills and qualifications are crucial to ensure organizations maintain regulatory compliance, protect sensitive information, and build stakeholder trust in a remote environment.

What is the difference between Remote Data Privacy vs Remote Data Privacy Analyst?

AspectRemote Data PrivacyRemote Data Privacy Analyst
CredentialsData privacy certifications, legal knowledgeData privacy certifications, analytical skills
Work EnvironmentRemote, compliance-focusedRemote, data analysis and privacy assessment
Industry UsageLegal, tech, healthcareTech, finance, healthcare
Job FocusDeveloping privacy policies, complianceAssessing data privacy risks, audits

Remote Data Privacy roles focus on creating privacy policies and ensuring compliance, often requiring legal and regulatory knowledge. Remote Data Privacy Analysts primarily analyze data practices, perform audits, and assess risks. Both roles are remote and industry-relevant, but differ in their core responsibilities and skill sets.

What job categories do people searching Remote Data Privacy jobs in Berkeley, CA look for?

The top searched job categories for Remote Data Privacy jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Remote Data Privacy jobs?

Cities near Berkeley, CA with the most Remote Data Privacy job openings:

Remote Data Privacy jobs near you
Infographic showing various Remote Data Privacy job openings in Berkeley, CA as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% Remote job distribution.

Sr. Data Scientist

6sense

San Francisco, CA • Remote

$162K - $238K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 14 days ago

Job description

About 6sense

6sense is revolutionizing how B2B organizations create, manage, and convert pipeline to revenue. Powered by AI, big data, and predictive analytics, our platform helps revenue teams identify buying intent, engage the right accounts, and drive growth.

The Opportunity

We're looking for a Senior Data Scientist (IC4) to join our growing AI and Data Science team. This is an exciting opportunity for an experienced ML practitioner who enjoys building production-grade AI systems and transforming cutting-edge research into impactful customer-facing products.

You will work on advanced machine learning, NLP, LLMs, Agentic AI, and GenAI applications that directly influence product innovation and customer outcomes.

What You'll Do
  • Design, build, and deploy scalable machine learning and AI solutions in production environments.
  • Develop NLP and transformer-based systems for enterprise-scale applications.
  • Build Agentic AI workflows leveraging frameworks such as LangGraph and LangChain.
  • Own the end-to-end ML lifecycle, including:
    • Data exploration
    • Feature engineering
    • Model development
    • Evaluation
    • Deployment
    • Monitoring
  • Develop ranking, recommendation, classification, prediction, and optimization models.
  • Partner closely with Product, Engineering, and Analytics teams to solve complex business problems.
  • Improve performance, scalability, reliability, and observability of production ML systems.
  • Contribute to AI platform architecture and technical strategy.
  • Mentor engineers and help elevate engineering excellence across the organization.
What We're Looking ForRequired Qualifications
  • 8+ years of experience building and deploying machine learning solutions in production.
  • Strong foundation in Machine Learning, Statistics, and Applied Data Science.
  • Experience with:
    • Supervised & Unsupervised Learning
    • Recommendation Systems
    • Ranking Models
    • Predictive Modeling
  • Deep expertise in:
    • NLP
    • Transformers
    • Embeddings
    • Encoder-Decoder Architectures
    • Retrieval-based Systems
  • Hands-on experience with GenAI ecosystems including:
    • LangGraph
    • LangChain
    • Amazon Bedrock
  • Strong Python programming skills.
  • Experience building distributed ML systems and pipelines using AWS and Databricks.
  • Strong understanding of feature engineering, model evaluation, and MLOps.
  • Ability to independently solve ambiguous problems and drive execution.
  • Strong product mindset with focus on customer impact and business outcomes.
Preferred Qualifications
  • Experience building Agentic AI and Multi-Agent Systems.
  • Experience with:
    • RAG Architectures
    • Vector Databases
    • Prompt Engineering
  • Hands-on experience with PyTorch and/or TensorFlow.
  • Prior experience in B2B SaaS or customer-facing AI products.

Base Salary Range: $162,923.67 - $238,954.71. The base salary range represents the anticipated low and high end of the base salary range for this position. Actual salaries may vary and may be above or below the range based on various factors, including but not limited to work location and experience. The base salary is one component of 6sense's total compensation package for this position. Other compensation may include a bonus program or commission plan, and stock options if approved by 6sense's board. In addition, 6sense provides a variety of benefits, including generous health insurance coverage, life, and disability insurance, a 401K employer matching program, paid holidays, self-care days, and paid time off (PTO). #Li-remote

Notice of Collection and Use of Personal Information for California Residents: California Recruitment Privacy Notice and Policy

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