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Remote Meta Data Science Jobs in Georgia (NOW HIRING)

Data Architect 2

Atlanta, GA · Remote

$61.25 - $78.75/hr

Our core functions are data Quality, Governance, Enablement, Analytics and Data Science. Location This is a remote opportunity. Responsibilities Proactively drive data maturity within Kiewit by ...

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ...

Software Roles

Atlanta, GA · Remote

$117K - $155K/yr

... * Sr. Data Scientist * Sr. AI Engineer * Sr. Data Engineer Job Locations: Remote (US) Sr/Staff Infrastructure Software Engineer: Required Skills: * 6+ years with Go, Python, Java or similar ...

This is a remote position. We are looking for a strategic and results-oriented Performance ... data-driven marketing expert with proven experience in managing paid social campaigns across Meta ...

With remote work and global talent pools, even entry-level roles receive hundreds of applications ... Data Scientists & Machine Learning Engineers * Data Engineers * Required & Preferred Skills * Java ...

This is a remote position. The Head of Performance Marketing will lead and optimize our performance ... The Head of Performance Marketing will be responsible for developing and executing data-driven ...

United States (Remote) Interested applicants must reside in one of the following approved states ... Bachelor's degree required, preferably in Computer Science, Engineering, or related technical field;

Remote employee - Works from locations outside traditional office, often from home or another ... Education - Bachelor's degree in Computer Sciences, HIM, Data analytics, * Nursing Experience - 4 ...

CDCE Data Analyst

Atlanta, GA · Remote

$52.37 - $65.06/hr

Remote employee - Works from locations outside traditional office, often from home or another ... Education - Bachelor's degree in Computer Sciences, HIM, Data analytics, * Nursing Experience - 4 ...

Remote employee - Works from locations outside traditional office, often from home or another ... Education - Bachelor's degree in Computer Sciences, HIM, Data analytics, * Nursing Experience - 4 ...

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Remote Meta Data Science information

What is the difference between Remote Meta Data Science vs Remote Data Analyst?

AspectRemote Meta Data ScienceRemote Data Analyst
Required CredentialsBachelor's or higher in Data Science, Computer Science, or related fields; knowledge of programming languages like Python or RBachelor's degree in Statistics, Mathematics, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative remote teams, often with data science and engineering departmentsRemote work with focus on data reporting, visualization, and business insights
Employer & Industry UsageTech companies, e-commerce, finance, and healthcareMarketing agencies, retail, finance, and consulting firms

Remote Meta Data Science involves advanced data modeling, machine learning, and statistical analysis, often requiring programming skills and a strong technical background. Remote Data Analysts focus on interpreting data, creating reports, and visualizations to support business decisions. While both roles work remotely and require data handling skills, Meta Data Scientists typically engage in more complex modeling, whereas Data Analysts concentrate on data interpretation and presentation.

How does a remote Meta Data Science role typically collaborate with cross-functional teams despite being off-site?

In a remote Meta Data Science position, collaboration with cross-functional teams—such as product managers, engineers, and designers—is primarily facilitated through virtual communication tools like video conferencing, chat platforms, and collaborative project management software. Regular stand-ups, sprint meetings, and asynchronous updates help ensure alignment on project goals and timelines. While remote work offers flexibility, it also requires proactive communication and documentation to maintain transparency and foster effective teamwork. Building relationships remotely may take extra effort, but companies like Meta provide structured onboarding and virtual community events to support team cohesion.

What is a Remote Meta Data Scientist?

A Remote Meta Data Scientist is a professional who works for Meta (formerly Facebook) in the field of data science, but does so from a remote location instead of a traditional office. They analyze large datasets, build predictive models, and provide insights to help Meta improve its products and user experience. Their work may involve machine learning, statistical analysis, and collaborating virtually with cross-functional teams. Remote Meta Data Scientists use tools such as Python, SQL, and data visualization software to solve complex business problems.

What are the key skills and qualifications needed to thrive as a Remote Meta Data Scientist, and why are they important?

To thrive as a Remote Meta Data Scientist, you need strong analytical skills, expertise in statistics and machine learning, and a degree in a quantitative field such as computer science or mathematics. Proficiency with data science tools like Python, R, SQL, and platforms such as TensorFlow or PyTorch is typically required, along with experience using collaboration tools for remote work. Excellent communication, self-motivation, and problem-solving abilities are essential soft skills for remote collaboration and translating insights to stakeholders. These skills ensure you can independently deliver impactful data-driven solutions while effectively collaborating across distributed teams.
What are the most commonly searched types of Meta Data Science jobs in Georgia? The most popular types of Meta Data Science jobs in Georgia are:
What job categories do people searching Remote Meta Data Science jobs in Georgia look for? The top searched job categories for Remote Meta Data Science jobs in Georgia are:
What cities in Georgia are hiring for Remote Meta Data Science jobs? Cities in Georgia with the most Remote Meta Data Science job openings:
Data Architect 2

$61.25 - $78.75/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Kiewit Corporation rating

8.0

Company rating: 8.0 out of 10

Based on 133 frontline employees who took The Breakroom Quiz

20th of 78 rated construction


Job description

Requisition ID: 181004 

Job Level: Mid Level 

Home District/Group: DHO Kiewit Data Services 

Department: Data Services 

Market: Corporate Home Office 

Employment Type: Full Time 

Position Overview

Kiewit Data Services (KDS) is looking for a Data Architect to join our team as we focus on data-related and other priority initiatives supporting enterprise wide technology solutions. The Data Architect is the voice of awareness for the need to mature data management services within the organization. Data Architects are skilled in big-picture thinking and building roadmaps to move data-related capabilities from current state to future state. The Data Architect will contribute to the design of the enterprise data strategy and architecture within the organization and champion the implementation and adherence to the stated direction. The Data Architect understands the balancing challenges of applying technology to solve business problems in timely and effective ways while still ensuring the quality of the data is not unnecessarily compromised. Data Architects are highly adept in working with business, technical, and third-party partners to scope and design solutions that meet these challenges to build on-target, scalable and sustainable solutions. 

District Overview

Kiewit Data Services' mission is to make Kiewit the premier data-driven company in our industry. Our districts rely on us to deliver the correct data of the right quality, with the right level of analysis, and to make it available to them at the right time. We are a cross-functional organization with employees who have expertise in data, technology, support and operations. Our core functions are data Quality, Governance, Enablement, Analytics and Data Science. 

Location

This is a remote opportunity.

Responsibilities

Proactively drive data maturity within Kiewit by working to define, implement, and mature data management services in support of solving business problems 
Leverage experience and networking skills with diverse teams and levels of leadership across the company to influence the inclusion of these data management services in the technology solution development processes at corporate and district levels  
Drive process improvement and change management for data management services by coordinating with other groups to ensure the data-related tasks and deliverables are comprehensive, streamlined, and produce value-based results 
Communicate complex concepts effectively to a variety of audiences with 
differing levels of data literacy 
Create and maintain the Kiewit Business Information Model that is used as a map of the major data relationships needed to operate the business 
Enthusiasm for learning Kiewit's business capabilities coupled with the ability to synthesize how the Kiewit Business Information Model supports those capabilities 
Prepare and present options for solving technical challenges, define benefits and risks of each option, and offer recommendations to appropriate decision-makers 
Responsible for providing various levels of estimates for efforts coming through the demand pipeline and subsequently participate in project planning 
Partner with integration, development, and operations teams to define standard patterns, functional, and non-functional requirements for the persistence of data 
Collaborate with other architects to ensure architectural approaches and chosen implementation options support the strategic data direction 
Research, identify, and profile data sources to uncover data anomalies and potential data quality concerns 
Stay well-informed of current technologies and industry trends and, if appropriate, justify, recommend, and pursue opportunities to enable business results with data solutions 

Qualifications

Bachelor's and/or master's degree in Computer Science, Information Management or Information Technology, or equivalent combination of education and relevant industry experience 
10 years' experience in working with at least four of the industry data management capabilities, including but not limited to, data architecture, master data management, data quality, data design and modeling, metadata management, data warehousing, data integration, and business intelligence and analytics. 
Proven ability to mentor less experienced members of the team, other peers, and leaders within the organization to mature data management related skills and abilities, furthering data literacy and underscoring the importance of data management services 
Comfortable managing multiple projects and/or initiatives at a time while navigating gray areas of responsibility and collaborating with others to find optimal solutions 
Excellent decision-making, risk-taking, and critical thinking skills for problem identification and solution recommendation 
Anticipate and resolve issues, conflicts, and other barriers to success as they arise 
Exceptional listening skills, ability to learn quickly, a client-focused mindset, highly organized, excellent time management skills, and demonstrated accountability for company and individual success 
Superior verbal, written, and presentation skills 
Knowledge and employment of systems and software development methods, organizational change management concepts, and business process improvement methods 
Program or project management experience leading data-centric initiatives is a plus 
Technology experience required includes proficiency in ER Studio, Visio, MS Office products, MS Teams, Azure DevOps, and SQL query tools for SQL Server, Databricks, and Snowflake 
Other preferred experience includes prior work with ERP systems (SAP and/or JD Edwards), other architecture disciplines, cloud deployments, and software package integration 

Other Requirements:

  • Regular, reliable attendance 
  • Work productively and meet deadlines timely
  • Communicate and interact effectively and professionally with supervisors, employees, and others individually or in a team environment.
  • Perform work safely and effectively. Understand and follow oral and written instructions, including warning signs, equipment use, and other policies.
  • Work during normal operating hours to organize and complete work within given deadlines. Work overtime and weekends as required.
  • May work at various different locations and conditions may vary.

We offer our fulltime staff employees a comprehensive benefits package that's among the best in our industry, including top-tier medical, dental and vision plans covering eligible employees and dependents, voluntary wellness and employee assistance programs, life insurance, disability, retirement plans with matching, and generous paid time off.

Equal Opportunity Employer, including disability and protected veteran status.
 


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About Kiewit

Sourced by ZipRecruiter

Kiewit Infrastructure Engineering's Design-Build team is driving clients to turn to Kiewit during all stages of design-build projects. Through our integrated design and construction approach, our multi-disciplinary team works together to improve schedule, control costs and minimize risk. Our construction-focused engineers work collaboratively with our estimators and builders to design solutions that are innovative, constructible, and designed with a focus on safety. Clients benefit from the proven processes and tools used by Kiewit to minimize project risk. We are an in-house resource that supports projects throughout the company. Our staff shares experiences gained, innovative concepts, and best practices for all projects that we support.

Industry

Construction materials wholesalers

Company size

10,000+ Employees

Headquarters location

Omaha, NE, US

Year founded

1884