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Meta Data Science Jobs in Texas (NOW HIRING)

Omni Inclusive

Sr. Azure Synapse Architect

Dallas, TX · On-site

$63 - $82.25/hr

... and meta-analysis. * Desire to collaborate with other product managers, data scientists, data analysts, and key business partners. * Experience developing both machine learning and descriptive ...

Fliff

Senior Data Scientist

Austin, TX · On-site +1

Own marketing attribution and incrementality analysis across paid channels (Meta, Google, TikTok ... as a data scientist, marketing analyst, or growth analyst, ideally in a consumer app, gaming ...

Fliff

Senior Data Scientist

Austin, TX

Own marketing attribution and incrementality analysis across paid channels (Meta, Google, TikTok ... as a data scientist, marketing analyst, or growth analyst, ideally in a consumer app, gaming ...

Fliff

Senior Data Scientist

Austin, TX

Own marketing attribution and incrementality analysis across paid channels (Meta, Google, TikTok ... as a data scientist, marketing analyst, or growth analyst, ideally in a consumer app, gaming ...

Tamus

Research Specialist I

College Station, TX

$3.7K/mo

... meta-data to draft methods and reporting tables for publications * Prepares supporting ... sciences with a wide range of capabilities to meet the needs of our statewide, national, and ...

Thales

Artificial Intelligence Space Engineer

Roma, TX · On-site

$89K - $107K/yr

... Meta-heuristics, Problem Solving, Operations Research, Decision Making and reasoning • Propose ... scientific method into engineering system methodology • Ensure data knowledge and traceability ...

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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 are popular job titles related to Meta Data Science jobs in Texas? For Meta Data Science jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Meta Data Science jobs in Texas look for? The top searched job categories for 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:
Meta Data Science jobs near you

Sr. Azure Synapse Architect

Omni Inclusive

Dallas, TX • On-site

$63 - $82.25/hr

Other

Posted 21 days ago

Job description

Job Title

Required Skills:

  • Bachelor's or Master's degree in Data Science, Computer Science, Information Systems, Analytics, Business Administration, Applied Mathematics or Statistics, or closely related field. Masters/PhD preferred.
  • 12+ years of experience in data and analytics with progressively increasing responsibility including 3+ years managing a team in a dynamic environment.
  • 3+ years of demonstrated experience in solving complex business problems using data science, statistical techniques and machine learning to build predictive and prescriptive solutions to deliver measurable business impact.
  • Deep understanding of statistical methods and robust inference.
  • Ability to draw insights and conclusions from data to inform experiment design and business decisions through rigorous analysis and meta-analysis.
  • Desire to collaborate with other product managers, data scientists, data analysts, and key business partners.
  • Experience developing both machine learning and descriptive algorithms/modelling using languages as Python, R, NLP etc.
  • 4+ years of experience with diverse structured and unstructured data sets on relational – SQL, NOSQL databases.
  • 5+ years of experience with one or more of Enterprise Visualization Tools: Tableau, QlikView, PowerBI.
  • Proficient in Microsoft Office Suite with advanced Excel skills: pivot tables, macros, PowerPivot, advanced functions.
  • Solid understanding of cloud platforms like AWS, Azure and/or GCP and familiarity with their AI/Client services.
  • Comfortable formulating actionable insights and recommendations from analytics into presentations (using PowerPoint, Tableau, etc.) and presenting results to various levels of management.

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