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Meta Data Science Jobs in Texas (NOW HIRING)

... meta data and help build the association between various data assets in the DGC. The Data Steward ... Minimum Qualifications Bachelor's degree or Masters in Computer Science or related technical field.

Data Scientist with Gen AI Project Location: Plano, TX (On-site) * Advanced proficiency in Python ... Meta Llama, or similar.LLM Fine tuning experience * Prompt Engineering: Expertise in designing ...

... science role - Expertise in ML visualization flow - Expertise in optimizing distributed machine ... meta-Learning, federated learning - Technical skills to consider and apply causal reasoning ...

... science role - Expertise in ML visualization flow - Expertise in optimizing distributed machine ... meta-Learning, federated learning - Technical skills to consider and apply causal reasoning ...

... science role - Expertise in ML visualization flow - Expertise in optimizing distributed machine ... meta-Learning, federated learning - Technical skills to consider and apply causal reasoning ...

... meta data, and transformations. * Connecting and troubleshooting data sources, importing data, and ... computer science, related business field or proven work-related experience. Required: • ...

... meta data, and transformations. * Connecting and troubleshooting data sources, importing data, and ... computer science, related business field or proven work-related experience. Required: • ...

Serve as the embedded product data science partner for a cross-functional area focused on discovery ... meta-analysis across portfolios of tests. * Own the analytical strategy for your business area ...

Serve as the embedded product data science partner for a cross-functional area focused on discovery ... meta-analysis across portfolios of tests. * Own the analytical strategy for your business area ...

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Meta Data Science information

What are typical daily responsibilities for someone in a Meta Data Science role?

In a Meta Data Science role, your daily tasks often involve analyzing large datasets to extract insights, developing and validating predictive models, and communicating findings to diverse teams. You will work closely with product managers, engineers, and other data professionals to design experiments and optimize business strategies. The role frequently requires presenting complex analyses in approachable terms and iterating on data solutions in response to feedback. You may also contribute to the development of internal data tools or pipelines, ensuring data quality and accessibility across the organization.

What is a Meta Data Science job?

A Meta Data Science job involves using data analysis, machine learning, and statistical techniques to drive insights and decision-making at Meta. Data scientists in this role work with large-scale datasets to optimize products, improve user experiences, and develop predictive models. They collaborate with engineers, product managers, and researchers to solve complex business problems. The role requires expertise in programming, data visualization, and experimental design to extract meaningful information from data.

Does Meta hire data scientists?

Yes, Meta regularly hires data scientists to analyze user data, improve products, and develop machine learning models. Candidates typically need strong skills in statistics, programming (such as Python or R), and experience with data analysis tools and large datasets.

What are the key skills and qualifications needed to thrive in the Meta Data Science position, and why are they important?

To excel in Meta Data Science, a strong background in statistics, machine learning, and data analysis, often supported by an advanced degree in a quantitative field, is essential. Proficiency in programming languages like Python or R, experience with big data platforms (such as Hadoop or Spark), and knowledge of data visualization tools are typically required, as well as relevant certifications like those from Google, AWS, or Microsoft. Exceptional problem-solving, communication, and teamwork skills set top candidates apart in this collaborative and data-driven environment. These competencies enable professionals to generate actionable insights, build scalable models, and effectively communicate findings to both technical and non-technical stakeholders.

How much does a meta data scientist make?

A data scientist at Meta typically earns between $100,000 and $160,000 annually, with senior roles exceeding $200,000. Compensation varies based on experience, location, and skills in data analysis, machine learning, and programming tools like Python or R.

Is 40 too late for data science?

Meta Data Science roles, like many data science positions, do not have strict age limits. Success depends on skills, experience, and continuous learning, such as mastering programming languages like Python or R and understanding machine learning concepts. Age should not be a barrier if you have relevant expertise and stay current with industry tools and techniques.

What does a Data Scientist at Meta do exactly?

A Data Scientist at Meta analyzes large datasets to identify patterns, develop models, and generate insights that inform product development and business strategies. They use statistical techniques, machine learning tools, and programming languages like Python or R to solve complex problems and improve user experience. Strong analytical skills and knowledge of data visualization are essential in this role.
What are the most commonly searched types of Meta Data Science jobs in Texas? The most popular types of Meta Data Science jobs in Texas are:
What cities in Texas are hiring for Meta Data Science jobs? Cities in Texas with the most Meta Data Science job openings:
Data Manager/Data Steward

Data Manager/Data Steward

Redolent, Inc

Dallas, TX • On-site

Other

Posted 12 days ago


Job description


One of our direct client is urgently looking for a Data Manager/Data Steward@ Dallas TX
TITLE:Data Manager/Data Steward
LOCATION: Dallas TX
Duration: 6 to 12+ months
Rate: DOE
Note:

Remote working option available - however contractor must be willing to have work hours to support either PT or CT zones where client users work.
Description:
Position Description:
As part of the Data Asset Development team (D.A.D), this role will be an enabler of Walmart's journey to be the world's leading data-driven retailer. As part of this transformation, Walmart is seeking an individual who will be responsible for partnering with the business to execute data governance activities, cataloging and managing Walmart data assets such as KPIs, Reports Applications, Business glossaries and partnering with business and technical stakeholders to onboard business and technical metadata to our Data Governance Center (DGC - Collibra) using established tools and processes and ensuring the overall fitness of our data.
Walmart is looking for a highly motivated, resourceful, team-oriented Data Steward who has a passion for data, and will manage Walmart's data in partnership with the business and technical stakeholders. The Data Steward may function as part of a business team, understand the business concepts, develop business glossaries, help harvest technical metadata, catalog applications, their data sources, KPIs and Reports in the DGC, associate business terms to technical meta data and help build the association between various data assets in the DGC. The Data Steward, under the guidance of the business lead steward, will research and develop the information required to catalog the data assets and partner with D.A.D and the business leads to advance the Data Governance Journey and Data Inventory program.
Key Responsibilities
Partner with business and technology stakeholders to complete the phases and steps of data governance journey
Develop and manage business relationships with leaders across the organization.
Partner with business and Enterprise Governance teams to develop and execute the data Governance rollout and roadmap for our business and technical stakeholders.
Develop a deep understanding of the Enterprise Data Governance program and policies
Hands on cataloging and data assets creation and approval on DGC (Collibra)
Partner with Data Asset Development internal teams such as Data Inventory, Operations, Program teams as well as with various business and technical stakeholders.
Work in close alignment with various internal strategy and operations teams and in small units of 1-3 team members
Provide thought leadership and align the work of the team to the overall strategy of Data Governance
Drive data literacy efforts and collaborate with different parts of the organization to advance and mature our data governance posture via our stewardship community.
Be part a team that works with data stewards across the organization to ensure the ongoing health of data through its lifecycle.
Ensure best practices are being leveraged and enforced in firm initiatives via the stewardship community
You'll sweep us off our feet if...
Passionate about data
Data Quality is an essence of your work culture
Exhibit excellent ability to understand business concepts very quickly
Hands on experience in various data management areas including use of tools like Collibra, data profiling and other curation tools
Demonstrated track record of handling Enterprise data governance
Prior experience with role of data steward and/or a governance manager with exposure to data governance tools and processes
Have an understanding of technical data concepts and understand databases. SQLs and other technical terminology.
A team player, with the courage to drive change through disruption while maintaining a respect for the team.
Inquisitive, focused, and an abstract thinker.
Minimum Qualifications
Bachelor's degree or Masters in Computer Science or related technical field.
Prior experience in Data governance and Steward roles
Experience in partnering with business and technology teams to implement governance requirements/or
Experience with data management and hands on experience using governance tools such as Collibra, and technical digital finger printing tools
Experience with data cataloging and data inventory areas
Good understanding of data concepts including data design and modelling in traditional and big data systems
Strong understanding of organization needs and ability to drive change
Strong leadership and communication skills
Must be able to work effectively both on teams as well as be self-motivated, task oriented and organized.
Strong customer focus and obsession with quality
Ability to work in a fast-paced and agile development environment

Redolent logo

About Redolent

Sourced by ZipRecruiter

Redolent, a dynamic and rapidly expanding company committed to excellence in software solutions, where success is fueled by a combination of technical expertise and efficient management practices. Our solutions create a measurable delta in our clients’ productivity and profitability, contributing to their growth and success.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

San Jose, CA, US

Year founded

2008

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