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T R Frameworks Jobs in California (NOW HIRING)

BDO

Tax Manager, Corporate/ASC 740

Los Angeles, CA

$123K - $165K/yr

Conducts top level review of T/R and resolves all tax issues with client; involves specialists ... Identifies when research is needed; clearly and concisely frames issues to be researched; and ...

Black Cultural Zone CDC

Safety Ambassador

Oakland, CA

$20 - $25/hr

... STEER framework. * Monitor project timelines and deliverables, proactively alerting the team lead to potential risks or delays. * Uphold the C.R.E.A.T.E. values in all internal and external ...

Black Cultural Zone

Safety Ambassador

Oakland, CA · On-site

$20 - $25/hr

... STEER framework. * Monitor project timelines and deliverables, proactively alerting the team lead to potential risks or delays. * Uphold the C.R.E.A.T.E. values in all internal and external ...

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T R Frameworks information

What are the key skills and qualifications needed to thrive as a t r frameworks specialist?

To thrive as a TR Frameworks specialist, you need a strong understanding of technical architecture, programming principles, and experience with frameworks such as .NET, Spring, or Django, typically supported by a relevant computer science degree. Familiarity with version control systems, continuous integration tools, and cloud platforms is often required, along with certifications like AWS Certified Developer or Microsoft Certified: Azure Developer Associate. Excellent problem-solving skills, attention to detail, and effective communication set top candidates apart in this role. These skills and qualities ensure robust framework development, smooth project delivery, and effective collaboration within software development teams.

What are t r frameworks?

T R Frameworks typically refers to frameworks used for Test and Release (T&R) processes in software development. These frameworks provide structured methods and tools for automating the testing and release cycles, ensuring software quality and timely deployment. They can include tools for unit testing, integration testing, continuous integration, and automated deployment. Common T&R frameworks include Jenkins, Travis CI, and others that help streamline the development workflow and reduce human error. Their use is critical in modern DevOps practices.

What is the difference between T R Frameworks vs Market Research Analyst?

AspectT R FrameworksMarket Research Analyst
Required CredentialsTypically requires certifications in project management or specific frameworksBachelor's degree in marketing, statistics, or related field; often requires analytical skills certifications
Work EnvironmentConsulting firms, project-based settings, client sitesCorporate offices, research firms, marketing departments
Industry UsageUsed across consulting, project management, and strategic planningPrimarily in marketing, advertising, and consumer insights
Common Search/ComparisonOften compared for strategic and project management rolesCompared for market analysis and consumer research roles

While T R Frameworks focus on applying structured methodologies for project and strategic management, Market Research Analysts specialize in gathering and analyzing consumer data to inform marketing strategies. Both roles require analytical skills but serve different functions within organizations.

How do professionals working with t r frameworks typically collaborate with cross-functional teams?

Professionals utilizing T R Frameworks often work closely with developers, testers, and product managers to ensure seamless integration and implementation of robust testing methodologies. Collaboration usually involves regular meetings to align on project goals, sharing best practices for test automation, and troubleshooting issues as they arise. Effective communication and a proactive approach to knowledge sharing are essential, as they help maintain high-quality standards and foster a culture of continuous improvement within the team.

Can T R Frameworks be customized?

T R Frameworks professionals often customize their approaches to meet specific project requirements, utilizing various tools and methodologies. Customization depends on the project's scope and client needs, and it typically involves adapting processes, workflows, or frameworks accordingly.

What kind of projects does T R Frameworks do?

T R Frameworks typically works on projects related to software development, system integration, and technology solutions. They may also be involved in process automation, data analysis, and implementing frameworks using programming languages and tools relevant to their industry.

What are popular job titles related to T R Frameworks jobs in California?

For T R Frameworks jobs in California, the most frequently searched job titles are:

What job categories do people searching T R Frameworks jobs in California look for?

The top searched job categories for T R Frameworks jobs in California are:

What cities in California are hiring for T R Frameworks jobs?

Cities in California with the most T R Frameworks job openings:

T R Frameworks jobs near you
Infographic showing various T R Frameworks job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 89% In-person, and 11% Hybrid job distribution.

Data Science Manager, Tapestry

X, the moonshot factory

Mountain View, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 13 days ago

Job description

D a t a S c i e n c e M a n a g e r , T a p e s t r y
Software Engineering Mountain View, CA
About Tapestry
Tapestry is a team within Alphabet working to build the AI-powered electric grid. We are tackling one of the world's most important infrastructure challenges: helping the energy system become more visible, understandable, reliable, affordable, abundant, and clean.
Originally born at X, Alphabet's moonshot factory, Tapestry brings together experts in energy, AI, software, engineering, and product to build tools that help the electricity ecosystem plan smarter, move faster, and operate more efficiently.
This is a global effort. Tapestry supports partners across the U.S., U.K., Chile, New Zealand, Australia, and Brazil as they work toward a cleaner, more resilient energy future.
Joining Tapestry means doing high-impact work with a multidisciplinary team tackling a problem that matters at global scale. Learn more about our team and our mission here .
About the role:
At Tapestry, data drives all our decision-making. Data Scientists work across the organization to help shape our business and technical strategies by processing, analyzing, and interpreting massive datasets. They lead our metrics assessment, analyze massive datasets and derive early insights, and partner with cross functional teams on the right datasets for maximum downstream impact. As a Data Science Manager, you will act as a pivotal technical leader to bridge the gap between complex business questions and advanced technical execution. You will build, mentor, and lead a high-performing team of data scientists to deliver operational excellence, accelerate product advancement, and drive business value.
In this role, you will deeply immerse yourself with the team of data scientists in data collection and analysis, develop compelling, synthesized recommendations for senior leadership, and be involved to help drive implementation. Ultimately, your team's solutions will fundamentally improve electric grid visibility and resilience.
How you will contribute to the team...
1. Team Leadership and Strategic Delivery
  • People Management: Recruit, mentor, and lead a world-class team of data scientists. Cultivate talent through active technical mentorship and clear career development paths.
  • Cross-Functional Alignment: Collaborate with engineering, product, power system experts, and external partners to translate high-level business goals into rigorous data science roadmaps.
  • Executive Communication: Persuasively communicate your team's findings and strategic recommendations to senior executives and cross functional teams, tracking the long-term business impact of the solutions.

2. Data Integrity and Curation Strategy at Scale
  • Pipeline Oversight: Guide the team in discovering, investigating, and deriving insights from large and complex input datasets, both current and potential, from partners and other sources.
  • Gatekeeping Metrics: Oversee the definition of problem framing, test datasets, and core business, product and performance metrics that machine learning models will aim to optimize for.
  • Multi-Stage Quality Control: Ensure data integrity across the pipeline by establishing frameworks to assess intermediate datasets and metrics within multi-stage machine learning processes.
  • Annotation Rigor: Drive a comprehensive and scalable data annotation strategy that prioritizes quality through statistical rigor, ensuring data reliability for all downstream modeling.

3. Problem Definition and Advanced Analytics
  • Grid Visibility and Innovation: Lead the proactive exploration of new problem spaces to fundamentally improve electric grid visibility and resilience.
  • Experimentation Frameworks: Standardize how the team designs, executes, and analyzes A/B tests and other experiments to validate hypotheses and measure product impact.
  • Engineering Best Practices: Champion modern data science workflows, including the application of GenAI techniques for data analysis, ensuring the team follows robust engineering best practices.
What you should have...
  • PhD or Master's in a quantitative field and 8+ years of tech or energy industry work experience as a statistician, quantitative analyst, or data scientist.
  • 5+ years of experience directly managing or leading high-performing data science and analytics teams, with a proven track record of delivering production-grade data solutions.
  • A proven track record of identifying where data science can add unique value during early product development, alongside a strong ability to influence other teams to collaborate on critical data science work.
  • Advanced skills in experimental design, including the ability to architect, guide, and validate robust A/B testing methodologies and statistical experiments in ambiguous environments.
  • Experience in Python, SQL, R, Pandas, Scikit-Learn, other ML frameworks as appropriate.
  • Experience with electric power grid data, and physics based understanding of electrical networks and utility data. Ability to bridge the gap between power systems and machine learning.
  • Experience in multivariate analysis, stochastic models, and sampling methods. Able to select the right statistical tool to solve for bias, variance, and data drift.
  • Applied experience with building comprehensive machine learning model evaluation tooling and processes on large datasets.
  • Proven ability to "zoom out" from complex technical details to build a cohesive product strategy, and "zoom in" to unblock technical hurdles.
  • Demonstrate strong collaboration with software engineering and cross functional teams to build ML-powered systems ready for production.
  • Exceptional storytelling abilities, with a knack for turning complex data pipelines and model metrics into clear business value for non-technical stakeholders.
Would be great to have...
  • Ability to thrive in ambiguity, set own goals and effectively delivering to them in a very fast-changing environment
  • Attention to detail, project management, and organizational skills
  • Fast learner with capacity to learn about a wide-spread of different technologies and industries
  • Passion for the energy and climate space
  • Track record of delivering scalable solutions to complex software problems
  • Experience in startup or high-growth environments

Tapestry Values:
  • Take charge: We take initiative and own outcomes that move the mission forward.
  • Transform with purpose: We build solutions that solve real problems and create meaningful impact.
  • Be a Tapestry, not a thread: We collaborate across diverse skills and perspectives to achieve more than we can individually.
  • Always fine-tune: We stay curious, seek feedback, and refine our understanding as we learn.
  • Stay grounded: We listen openly, value different perspectives, and stay focused on what matters most.

What we offer:
A culture that supports growth, ownership, and meaningful impact, along with...
  • Competitive salary and equity
  • Medical, dental, and vision coverage
  • Generous PTO and flexible hybrid work model
  • 401(k) with employer contribution
  • Professional development
  • The ability to work on important real-world problems within an Alphabet-backed environment

The US base salary range for this full-time position is $207,000 - $304,000 + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
An Equal Opportunity Workplace
At X, we don't just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
If you have a disability or special need that requires accommodation, please contact us at x-accommodation-request@x.team .

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