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Meta Data Science Jobs in Florida (NOW HIRING)

AllSTEM Connections

CRM Analytics Analyst

Orlando, FL · On-site

$104K/yr

... analyze data from platforms such as Google Analytics, Meta Ads, Google Ads, and Microsoft Ads ... Bachelor's Degree in Computer Science, Mathematics, or a related quantitative field Strong ...

University of Miami

Entry Scientist

Miami, FL · On-site

Conduct meta-analytical extraction, data entry, and analysis for neurocognitive and neuroimaging studies. Grant Writing, Manuscript Preparation & Scientific Communication * Draft, edit, and submit ...

The University of Miami

Entry Scientist

Miami, FL · On-site

Conduct meta-analytical extraction, data entry, and analysis for neurocognitive and neuroimaging studies. Grant Writing, Manuscript Preparation & Scientific Communication * Draft, edit, and submit ...

ARC Group

Medical Research Consultant

Jacksonville, FL · Remote

D. in Public Health, Epidemiology, Health Sciences, Data Science, or a related field *Two years of related experience *Knowledge of PRISMA (Preferred Reporting Items for Systematic Reviews and Meta ...

Net Conversion LLC

Manager, Media Analytics

Orlando, FL · On-site +1

... Meta Ads, Google ads * Ideal candidate enjoys problem solving, is data curious, a power user in ... and Information Science required; Masters degree preferred. PHYSICAL REQUIREMENTS: * Periods ...

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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 Florida? The most popular types of Meta Data Science jobs in Florida are:
What are popular job titles related to Meta Data Science jobs in Florida? For Meta Data Science jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Meta Data Science jobs in Florida look for? The top searched job categories for Meta Data Science jobs in Florida are:
Meta Data Science jobs near you
4091 Data Scientist with Security Clearance

4091 Data Scientist with Security Clearance

Procession Systems

Thonotosassa, FL • On-site

Other

Posted 16 hours ago

Job description

GENERAL DUTIES: Collect process data and perform data analysis. Integrate centralized protect and maintain data in DBMS. * Clean massage and organized data.

Perform ad hoc analysis and present results in a clear manner. Communicate complex quantitative analysis in a clear, precise and actionable manner using storytelling/visualization. Create/deploy/maintain cloud applications to support migration of data and production processes Create/deploy/maintain tools to extract features data and meta-data from a variety of sources, including Raster to vector-to-vector text to vector and text database.

Write/maintain Python scripts in Arc GIS to improve efficiency of the production process. Support Business Processing Re-engineering. Perform Data Conversion/migration Perform Business Analytics.

REQUIRED QUALIFICATIONS: 5 - 7 years of demonstrated programming skills with the ability to write/maintain scripts, including Python and JAVA scripts Knowledge and experience using version control tools such as Git 3-5 years' experience in data science, including the areas of data collection processing exploitation, transformation services, modeling, and analytics. 3-5 years of demonstrated experience performing geospatial data management, including data type conversions coordinate systems in (latitude and longitude, UTM) and their conversions and knowledge of projections and their properties/conversions. * 1 - 3 years of experience, using Tableau or equivalent Business Intelligence software and software server functions.

DESIRED QUALIFICATIONS: Experience in combining, digital cartography, computer, technology, GIS, cartographic and geospatial, production techniques, remote, sensing photography and digital data formats. Proficient in Feature Manipulation Engine (FME) software such as FME Workbench Experience performing data analysis to examine data from a variety of angles to determine hidden values, weaknesses, trends, and or opportunities next line knowledge of ESRI, ArcGIS/ArcPro and Arc Server Experience with ESRI Workflow Manager, WMX and TAM Knowledge of database systems and architecture Ability writing SQL and NoSQL Understanding of cloud architecture, infrastructure, services (including geospatial specific microservices), and DevOps Knowledge of symbolization rules. * Experience working with geospatial data in multiuser enterprise environment.

2 years of experience working with data quality control, tools, including ArcGIS data reviewer Experience with analyzing existing production systems and providing feature recommendations to enhance data science capabilities CLEARANCE: * TS/SCI Clearance with ability to obtain a CI Poly

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About Procession Systems

Sourced by ZipRecruiter

Procession Systems, based in Reston, Virginia, United States, is an industry leader operating in the Information Technology Services sector. Established to address complex business and technology challenges, the company delivers innovative tech solutions for government entities, primarily focusing on systems integration and software development. Procession Systems takes pride in their commitment to quality, responsiveness, and results, geared towards improving public sector services and saving taxpayer dollars.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Reston, VA, US

Year founded

2016

Social media

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