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Entry Level Nvidia Data Scientist Jobs in Miami, FL

For entry-level job seekers to get client interviews and jobs, they need to differentiate ... data scientists, and machine learning engineers. Who should apply? Recent computer science ...

Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, data analysts/data scientists. We welcome candidates with all visas and citizens to apply. Who ...

_ ** Job Title: Jr. Data Scientist **_ _ ** Location: Miami, FL **_ _ ** Employment type: Fulltime ... Exp: 1-4 years(Entry level)**** _ ** Educational Qualification: Master's Degree **_ _ in Computer ...

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Junior Data Scientist

Miami, FL ยท On-site

$30 - $35/hr

Job Title: Jr. Data Scientist Location: Miami, FL Employment type ... Fulltime Duration: 2 years Exp: 1-4 years(Entry level) Educational Qualification: Master's Degree ...

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full time positions ...

Identify valuable data sources and automate collection processes * Undertake preprocessing of ... Bachelors, Masters in Computer Science/ Computer Engineering/ Information Systems/Information ...

Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, Data analysts/ Data Scientists. Who Should Apply? Recent IT Graduates looking to make their ...

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Entry Level Nvidia Data Scientist information

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$157.8K

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How much do entry level nvidia data scientist jobs pay per year?

As of May 28, 2026, the average yearly pay for entry level nvidia data scientist in Miami, FL is $157,831.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,700.00 and $162,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Nvidia Data Scientist, and why are they important?

To thrive as an Entry Level Nvidia Data Scientist, you need a strong background in statistics, machine learning, and programming (typically Python or C++), usually supported by a relevant degree in computer science, data science, or a related field. Familiarity with deep learning frameworks (such as TensorFlow or PyTorch), GPU programming (CUDA), and data visualization tools is highly valued, along with any related certifications. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret data and collaborate across technical and business teams. These skills and qualities are vital for extracting actionable insights from complex data and contributing to innovative AI and computing solutions at Nvidia.

What types of projects and data sets can an entry-level Nvidia Data Scientist expect to work on?

As an entry-level Nvidia Data Scientist, you will likely work on projects involving large-scale data analysis, machine learning model development, and AI algorithm optimization. Common tasks include processing GPU-accelerated data, collaborating with engineering teams to test and validate models, and contributing to performance benchmarking. You'll often work with diverse data sets, such as image, video, or sensor data, and participate in cross-functional team meetings. This collaborative environment provides valuable exposure to innovative technologies and offers opportunities to expand your expertise in deep learning and high-performance computing.

What does an Entry Level Nvidia Data Scientist do?

An Entry Level Nvidia Data Scientist works on analyzing large datasets, developing machine learning models, and leveraging Nvidia's GPU technologies for data processing and AI applications. They collaborate with other engineers and researchers to optimize algorithms for performance on Nvidia hardware. Their responsibilities may include data cleaning, exploratory data analysis, model training, and helping integrate AI solutions into products or services. This role provides opportunities to learn advanced tools and techniques while contributing to cutting-edge projects in AI and deep learning.

What is the difference between Entry Level Nvidia Data Scientist vs Entry Level Nvidia Data Analyst?

AspectEntry Level Nvidia Data ScientistEntry Level Nvidia Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of machine learning and programmingBachelor's in Statistics, Business, or related field; proficiency in data visualization and SQL
Work EnvironmentDeveloping models, analyzing complex data, collaborating with data science teamsData reporting, cleaning, and visualization tasks within business units
Employer & Industry UsageTech companies, AI research, hardware/software developmentBusiness analytics, marketing, finance within Nvidia or partner organizations

Entry Level Nvidia Data Scientist focuses on building predictive models and applying machine learning techniques, while Entry Level Nvidia Data Analyst primarily handles data reporting and visualization. Both roles require strong analytical skills, but data scientists work more on developing algorithms, whereas data analysts focus on interpreting data for business insights.

What are the most commonly searched types of Nvidia Data Scientist jobs in Miami, FL? The most popular types of Nvidia Data Scientist jobs in Miami, FL are:
What are popular job titles related to Entry Level Nvidia Data Scientist jobs in Miami, FL? For Entry Level Nvidia Data Scientist jobs in Miami, FL, the most frequently searched job titles are:
What cities near Miami, FL are hiring for Entry Level Nvidia Data Scientist jobs? Cities near Miami, FL with the most Entry Level Nvidia Data Scientist job openings:
Data Scientist

Data Scientist

SynergisticIT

Miami, FL โ€ข On-site

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

SynergisticIT Job Opportunities

SynergisticIT is aware that the job market is challenging due to tech layoffs, which has led to a flood of laid off jobseekers competing with existing jobseekers. For entry-level job seekers to get client interviews and jobs, they need to differentiate themselves by ensuring they have exceptional skills and technologies to be noticed by clients.

Since 2010, we have helped jobseekers differentiate themselves by providing clients with candidates who have the requisite skills and experience to outperform at interviews and clients. Here at SynergisticIT, we don't just focus on getting you a job; we make careers. All positions are open for all visas and US citizens. We understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped thousands of candidates get jobs at technology clients like Apple, Google, Paypal, Western Union, Visa, Walmart Labs etc. to name a few. We have an excellent reputation with the clients.

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, data analysts/data scientists, and machine learning engineers. Who should apply? Recent computer science/engineering/mathematics/statistics or science graduates looking to make their careers in the IT industry. We welcome candidates with all visas and citizens to apply. We assist in filing for STEM extension and also for H1B and Green card filing to candidates.

We also offer skill enhancement programs for candidates who are either missing skills or are lacking industry/client experience with projects and skills. Candidates having difficulty in finding jobs or cracking interviews or who wants to improve their skill portfolio. If they are qualified with enough skills and have hands on project work at clients then no need for skill enhancement.

Candidates can benefit from skill enhancement if they fall into the below categories:

  • Candidates who lack experience or are freshers with no actual on job experience with projects with clients
  • Candidates who have had a break in careers
  • Candidates who lack technical competency or skills being demanded by clients
  • Different visa candidates (like OPT/H4EAD/L2EAD) who want to get employed and settle down in the USA

Please check the below links to see success outcomes of our candidates: https://www.synergisticit.com/candidate-outcomes/

Watch the below videos of us participating at industry events with the top companies in technology:

  • Oracle CloudWorld Event (OCW) Las Vegas 2022
  • Gartner Data Analytics Summit (Florida)
  • SynergisticIT at Gartner Data and Analytics Summit 2023

If you have relevant skills and industry experience, please apply. If not, then candidates can opt for skill enhancement.

For getting help with interviews, please visit: https://www.synergisticit.com/interview-questions/

Required skills for Java/Software Programmers:

  • Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Project work on the skills
  • Knowledge of Core Java, JavaScript, C++ or software programming
  • Spring boot, Microservices, Docker, Jenkins and REST API's experience
  • Excellent written and verbal communication skills

Required skills for data science/machine learning:

  • Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
  • Project work on the technologies needed
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools
  • Excellent written and verbal communication skills

Preferred skills: NLP, Text mining, Tableau, PowerBI, Time series analysis

Please understand skills and relevant experience on real world projects are required by clients for selection even if it's a junior or entry level position. The additional skills and project work with hands on experience building projects at client site are the only way a candidate can be picked by clients. If not having the skills or hands on project work at client site then candidates can opt for skill enhancement to gain the required skills and project work. No third party candidates or c2c candidates.

Please only apply to the posting. No phone calls please. Shortlisted candidates would be reached out.