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Remote Meta Data Science Jobs in Nevada (NOW HIRING)

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 ...

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 ...

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Analyze data and interpret results to inform AI training datasets with precision * Apply ...

Bachelor's degree (BA/BS) in engineering, construction management, sciences, IT, or related field a ... Remote -Boston, MA, Chicago, IL, Cleveland, OH, Dallas, TX, Indianapolis, IN, JERSEY CITY, NJ, Las ...

Data Center COE Project Manager

NV · Remote

$112K/yr

Remote in the US #LI-Remote This role is contributing to the Electrification Services Business Area ... A Bachelor of Science degree in Mechanical or Electrical Engineering highly preferred. Combination ...

Bachelor's degree in Engineering, Construction Management, Science, or related field Why Switch ... Flexibility & Remote Opportunities - Whether in-office, hybrid, or fully remote, we offer the ...

Bachelor's degree in Engineering, Construction Management, Science, or related field Why Switch ... Flexibility & Remote Opportunities - Whether in-office, hybrid, or fully remote, we offer the ...

Bachelors degree in Engineering, Construction Management, Science, or related field Why Switch? * A ... Flexibility & Remote Opportunities Whether in-office, hybrid, or fully remote, we offer the ...

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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 job categories do people searching Remote Meta Data Science jobs in Nevada look for? The top searched job categories for Remote Meta Data Science jobs in Nevada are:
What cities in Nevada are hiring for Remote Meta Data Science jobs? Cities in Nevada with the most Remote Meta Data Science job openings:

YourLiebherrCareer: Students - Data & AI (m/f/d) (83245)

Liebherr USA Co.

North Las Vegas, NV • On-site, Remote

$103K - $124K/yr

Other

Posted 2 days ago

New


Job description

We are looking for motivated students in the area of Data & AI for an internship, a bachelor's or master's thesis, or a working student position to support our team in Ulm.

Your responsibilities
  • You're excited to contribute to meaningful projects and collaborate with colleagues from different business areas
  • You enjoy making complex topics easy to understand and relatable for others
  • Collaborate closely with the Data & AI team to shape impactful and innovative use cases that drive real business value
  • Extract meaningful insights from large datasets
Your qualifications
  • Currently studying Computer Science or a related field, ideally with a focus on Data Science, Machine Learning or Artificial Intelligence
  • A strong motivation to dive into new areas of knowledge-both technical and domain-specific-and to actively contribute to our evolving projects
  • Interest for technological innovations and trends in the data domain
  • High degree of motivation & ability to collaborate in a team
  • Good practical skills in programming (e.g. Python or SQL), data structures and algorithms
  • Good theoretical in data science, data analysis, visualization or data engineering
  • Excellent spoken and written communication skills in German & English
  • We offer flexibility for remote work, while also valuing regular on-site collaboration at our Ulm office
Our offer

At the Liebherr Digital Development Center, we are working on a wide range of digital solutions from cloud applications to embedded software to data analysis. As an intern/working student (m/f/d) in the Data & AI team, you will be able to gain a deep insight into cutting edge technologies in areas such as big data, natural language processing or generative AI. At the same time, you will enjoy a modern and comforting work environment with enthusiastic colleagues in our new Ulm offices, allowing you to do your best work with great support from everyone around you. While we offer flexibility for remote work, we also value regular on-site collaboration at our Ulm office.

Have we awoken your interest? Then we look forward to receiving your online application. If you have any questions, please contact Lena Dangel.

One Passion. Many Opportunities.

The company

Liebherr-Digital Development Center GmbH in Ulm develops digital solutions for the entire Liebherr Group. Our passionate team from the areas of software development, engineering and data science works together on various projects from the whole Liebherr product world. Our mission: creating outstanding digital experiences!   

Location

Liebherr-Digital Development Center GmbH

Konrad-Zuse-Strae 4

89081 Ulm

Germany (DE)

Contact

Lena Dangel

Lena.Dangel@liebherr.com

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