2

Remote Topological Data Analysis Jobs in California

Senior Data Analyst (Remote)

San Diego, CA · Remote

$91K - $115K/yr

... Remote-First Places to Work . Firstup believes in the power of data to produce great business ... The ability to distill raw data and quantitative analysis into business information and insight

Performs what-if analysis in support of creating proposals for change and process improvement. * Develops queries and prepares data for diagnostic and predictive analytics. * Develops basic ad-hoc ...

Performs what-if analysis in support of creating proposals for change and process improvement. * Develops queries and prepares data for diagnostic and predictive analytics. * Develops basic ad-hoc ...

Data Analyst

Roseville, CA · Remote

$59K - $85K/yr

Conduct exploratory data analysis under guidance and communicate findings effectively. What we're ... Fully Remote Opportunity - Work from anywhere in the U.S. * Minimal Travel Required - Occasional ...

Data Analyst

Roseville, CA · Remote

$59K - $85K/yr

Conduct exploratory data analysis under guidance and communicate findings effectively. What we're ... Fully Remote Opportunity - Work from anywhere in the U.S. * Minimal Travel Required - Occasional ...

Senior Data Analyst / Remote

Los Angeles, CA · Remote

$92K - $116K/yr

Data Analysts support the development and optimization of strategic initiatives by generating actionable insights and recommendations from internal and external data. Data Analysts support business ...

Senior Data Analyst

Los Angeles, CA · Remote

$109K - $171K/yr

Remote US & Canada We are seeking a highly motivated and autonomous Senior Data Analyst to join our team. In this role, you will be pivotal in surfacing insights and providing guidance to a broad ...

Senior Data Analyst (Remote)

Los Angeles, CA · On-site +1

$92K - $116K/yr

Lead complex company, customer and sales analysis from gathering requirements, performing the ... Define data architecture and work closely with data engineering team to implement and refine it on ...

Remote : OK Job role: As a data analyst, you will be responsible for compiling actionable insights from data and assisting program, sales and marketing managers build data-driven processes. Your role ...

Senior Data Analyst

Los Angeles, CA · Remote

$109K - $171K/yr

Remote US & Canada We are seeking a highly motivated and autonomous Senior Data Analyst to join our team. In this role, you will be pivotal in surfacing insights and providing guidance to a broad ...

Showing results 21-40

Remote Topological Data Analysis information

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

To excel as a Remote Topological Data Analyst, you need a robust background in mathematics, particularly topology and data analysis, often supported by an advanced degree in mathematics, statistics, or computer science. Familiarity with programming languages such as Python or R, experience with TDA libraries (like GUDHI or Ripser), and proficiency in data visualization tools are typically required. Strong problem-solving skills, self-motivation, and effective communication are crucial soft skills for collaborating remotely and conveying complex insights to diverse stakeholders. These abilities enable analysts to extract meaningful patterns from high-dimensional data and deliver actionable results in a distributed work environment.

What are some typical challenges faced by professionals working in remote topological data analysis roles?

Professionals in remote Topological Data Analysis often encounter challenges related to collaborating across distributed teams, especially when interpreting complex, high-dimensional data. Communication is key, as team members may need to frequently discuss data structures, algorithms, and findings via virtual meetings and shared documentation. Additionally, staying updated on the latest research and software tools in the rapidly evolving field requires proactive self-learning and participation in online communities. Despite these challenges, remote work offers flexibility and the opportunity to collaborate with experts worldwide.

What is remote topological data analysis?

Remote topological data analysis refers to the use of topological methods for analyzing data, performed by professionals who work remotely rather than on-site. Topological data analysis (TDA) is a technique in data science that uses concepts from topology, a branch of mathematics, to extract meaningful patterns and structures from complex datasets. Remote TDA specialists utilize tools like persistent homology to identify features such as clusters, holes, or voids in high-dimensional data. They often collaborate with teams virtually, leveraging cloud-based computational resources and software platforms to conduct their analyses. This approach allows organizations to access specialized expertise regardless of geographic location.
What are the most commonly searched types of Topological Data Analysis jobs in California? The most popular types of Topological Data Analysis jobs in California are:
What job categories do people searching Remote Topological Data Analysis jobs in California look for? The top searched job categories for Remote Topological Data Analysis jobs in California are:
What cities in California are hiring for Remote Topological Data Analysis jobs? Cities in California with the most Remote Topological Data Analysis job openings:
Infographic showing various Remote Topological Data Analysis job openings in California as of August 2026, with employment types broken down into 57% Full Time, 11% Part Time, 16% Temporary, and 16% Contract. Highlights an 100% Remote job distribution.

Business Analyst - Data Strategy - Remote - Full Time

Lorven Technologies

Foster City, CA • On-site, Remote

Full-time

Re-posted 7 days ago


Job description

Our client seeks an Business Analyst for a Full Time project in Remote. Below is the detailed requirement
Job Title: Business Analyst - Data Strategy
Work location : Remote
Duration: Full Time
Summary:
We are seeking an experienced Business Analyst to lead and support a strategic Data Strategy initiative for a global Life Sciences organization. The ideal candidate will possess a technical project management background, experience managing data-driven projects with solid understanding of Life Sciences processes, regulatory requirements, and GxP compliance. This role will work closely with business stakeholders, data architects, engineering teams, and leadership to drive planning, execution, governance, and successful delivery of the data strategy roadmap.
Skills / Experience
  • Bachelor's degree preferably in Computer Science, Information technology, Computer Engineering, or related IT discipline or equivalent experience with 12+ Minimum Experience.
  • 8+ years of Business Analyst experience, including 6+ years of experience in Data Strategy, Data Governance / Management, Data Transformation or data warehouse initiatives
  • Experience an strong understanding of data models, schemas, data access, and data flows; SQL and database querying; familiarity with ETL/data pipeline concepts
  • Familiarity with clinical workflows and systems leverage by clinical operations, clinical data management, statistical programmers and regulatory
  • Strong communication and ability to translate data requirements into technical solutions
  • Secondary Skills / Good to have - Understanding of GxP validation, healthcare regulations (HIPAA, GCP), and data traceability; Understanding data governance policies, roles, and standards; Data quality management, validation, and stewardship; Python for data analysis and validation

Job / Role Description
  • Individual contributor partnering with Business Process Owners and Project Managers to define, document, and deliver complex business and system requirements for data strategy and data warehousing initiatives; Leads requirements refinement, including current/future state analysis, requirements documentation, prioritization, and stakeholder alignment across clinical data domains
  • Analyze complex clinical datasets (e.g., clinical trial, real world evidence, and Clinical Operations data) to inform requirements and solution design
  • Author user and functional requirements specifications, including data flows, lineage, traceability, and data access patterns
  • Refine existing user and functional requirements specification; Partners with the Validation team to ensure testability of requirements and release readiness
  • Define business requirements for data models, reporting layers, data products, and semantic/analytics structures
  • Owns User Acceptance Testing planning and execution; Communicate effectively with internal and customer stakeholders
  • May partner with testing teams to ensure requirements are testable and solutions are compliant and ready for release
  • Strong interpersonal skills to build and maintain productive relationships with team members
  • Problem-Solving and Analytical Thinking; Capability to troubleshoot and resolve issues efficiently
  • Prior experience in working on Agile/Scrum projects with exposure to tools like Jira/Azure DevOps
  • Provides regular updates, proactive and due diligent to carry out responsibilities

What Success Looks Like / Expected Outcome
  • Business Analyst will have successfully established and driven the Data Strategy program, delivering measurable business and technical outcomes - Create, maintain User and Functional Requirements documentation supporting data strategy and data warehousing solutions; Produce current state and future state artifacts (process flows, data flows, and data lineage views)
  • Contribute to data specifications, data models, and source to target mapping artifacts aligned to data pipelines; Develop UAT scenarios aligned to validated data transformations, data access controls, and reporting outputs; Provide regular status updates, documenting progress, risks, dependencies, and assumptions
  • Strategic Project Delivery - Successfully execute key milestones of the Data Strategy roadmap on schedule and within budget; Establish a structured governance model, including steering committees, stakeholder forums, and project reporting mechanisms; Align business objectives with data initiatives and ensure stakeholder buy-in across functions
  • Data Governance & Compliance - Implement / strengthen data governance processes, standards, and controls; Ensure data-related initiatives comply with GxP requirements and organizational regulatory standards; Facilitate risk assessments and remediation plans for data quality, compliance, and operational risks
  • Stakeholder Engagement - Build strong relationships with business leaders, IT teams, data owners, and external partners; Establish clear communication channels and executive-level reporting that provide visibility into project health, risks, and achievements; Drive consensus and decision-making across cross-functional teams

Lorven technologies logo

About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

Social media