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Junior Nvidia Data Scientist Jobs (NOW HIRING)

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Junior Data Scientist / Performance Data Analyst I Location: Washington, DC / Hybrid / Government Facility as Required Clearance / Background: U.S. Citizen required; ability to obtain DOJ Public ...

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Junior Data Scientist / Performance Data Analyst I Location: Washington, DC / Hybrid / Government Facility as Required Clearance / Background: U.S. Citizen required; ability to obtain DOJ Public ...

Nvidia

... Scientist to join our team and help advance our capabilities in synthetic data generation for ... maintain NVIDIA's technical leadership. * Mentor interns and junior researchers to develop ...

Winaxis

Data Scientist

Santa Clara, CA · On-site

Data Scientist - Nvidia Santa Clara from day 1 must be on-site 2nd round of interview will be F2F - Onsite at Santa Clara. ANY VISA Must have a strong and active LinkedIn profile. Worked with good ...

Find Data Science

Data Scientist

San Francisco, CA

Mentor junior data analysts and contribute to the development of their technical skills. * Document methodologies and processes to ensure that data science projects are scalable and sustainable ...

SupportFinity

Junior Data Scientist

San Francisco, CA · Remote

$10K - $12K/yr

We're looking for a Junior Data Scientist who loves exploring data, uncovering insights, and turning numbers into clear stories. In this friendly, creative team, you'll dive into data's mysteries ...

Smarsh

Lead Data Scientist

Manhattan, NY · On-site

$166 - $214/hr

Provide guidance to junior team members on model development and EDA. * Work with Product Manager(s ... Experience with natural language processing toolkits like NLTK, spaCy, Nvidia NeMo. * Knowledge of ...

Smarsh

Lead Data Scientist

New York, NY

Provide guidance to junior team members on model development and EDA * Work with Product Manager(s ... Experience with natural language processing toolkits like NLTK, spaCy, Nvidia NeMo * Knowledge of ...

Smarsh

Lead Data Scientist

New York, NY · On-site +1

Provide guidance to junior team members on model development and EDA * Work with Product Manager(s ... Experience with natural language processing toolkits like NLTK, spaCy, Nvidia NeMo * Knowledge of ...

Smarsh

Lead Data Scientist

Atlanta, GA

Provide guidance to junior team members on model development and EDA * Work with Product Manager(s ... Experience with natural language processing toolkits like NLTK, spaCy, Nvidia NeMo * Knowledge of ...

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Junior Nvidia Data Scientist information

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$37.5K

$122.7K

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How much do junior nvidia data scientist jobs pay per year?

As of Aug 21, 2026, the average yearly pay for junior nvidia data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the difference between Junior Nvidia Data Scientist vs Junior Machine Learning Engineer?

AspectJunior Nvidia Data ScientistJunior Machine Learning Engineer
Required CredentialsBachelor's in Data Science, Computer Science, or related field; familiarity with Nvidia toolsBachelor's in Computer Science, Software Engineering, or related; knowledge of ML frameworks
Work EnvironmentData analysis, modeling, using Nvidia GPU-accelerated toolsDeveloping, deploying ML models, often with Nvidia hardware
Industry UsageTech, AI research, data-driven companiesSoftware development, AI product teams, tech firms

Junior Nvidia Data Scientists focus on analyzing data and building models using Nvidia GPU-accelerated tools, while Junior Machine Learning Engineers develop and deploy ML models, often leveraging Nvidia hardware. Both roles require similar educational backgrounds but differ in daily tasks and industry focus.

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Junior Nvidia Data Scientist jobs near you
Infographic showing various Junior Nvidia Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Junior Data Scientist

AITHERAS, LLC

Arlington, VA • On-site

$100K - $120K/yr

Full-time

Re-posted 19 hours ago

Job description

Junior Data Scientist / Performance Data Analyst I

Location: Washington, DC / Hybrid / Government Facility as Required
Clearance / Background: U.S. Citizen required; ability to obtain DOJ Public Trust and Secret clearance; active Secret preferred
Experience Level: 1–3 years

Role Summary

The Junior Data Scientist / Performance Data Analyst I supports a federal Management Information System program by helping collect, clean, validate, analyze, and visualize operational and performance data.

This role is ideal for an early-career data scientist with strong Python, R, SQL, Tableau, machine learning, NLP, and statistical analysis skills who is ready to progress from research, healthcare, or academic data work into federal mission analytics.

Key Responsibilities

  • Collect, clean, validate, and analyze structured and semi-structured program data.

  • Build SQL, Python, and R scripts to extract data, run calculations, automate recurring analysis, and reduce manual reporting effort.

  • Develop and maintain Tableau dashboards, visual reports, charts, and performance summaries.

  • Support data quality reviews by identifying anomalies, missing values, inconsistent records, and reporting defects.

  • Assist senior analysts with statistical modeling, machine learning, trend analysis, and performance measurement.

  • Translate complex datasets into clear summaries for non-technical stakeholders.

  • Document data sources, business rules, transformation logic, assumptions, and analytical methods.

  • Support recurring weekly, monthly, quarterly, and ad hoc reporting requirements.

  • Review model outputs and error patterns to recommend improvements to analytical workflows.

  • Collaborate with senior data scientists, program analysts, project managers, and government stakeholders.

Required Qualifications

  • Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Information Systems, Neuroscience, Public Health Analytics, or a related quantitative field.

  • 1–3 years of data science, data analytics, research analytics, BI, or machine learning project experience.

  • Hands-on Python experience using pandas, NumPy, scikit-learn, matplotlib, spaCy, Keras, or similar libraries.

  • R experience using tidyverse, tidymodels, ggplot2, Shiny, or equivalent packages.

  • SQL experience for querying, joining, filtering, and preparing datasets.

  • Tableau, Power BI, R Shiny, or similar dashboard/data visualization experience.

  • Experience with machine learning classification, NLP, model evaluation, or predictive analytics.

  • Ability to inspect model errors, validate outputs, and communicate improvement opportunities.

  • Strong Excel and Microsoft Office skills.

  • Ability to explain technical findings to non-technical stakeholders.

  • U.S. citizenship and ability to obtain required federal suitability/clearance.

Preferred Qualifications

  • Active Secret clearance or prior federal suitability.

  • Experience with federal, public sector, law enforcement, financial, healthcare, biomedical, or large statistical datasets.

  • Experience supporting performance metrics, KPI reporting, operational reporting, or program evaluation.

  • Experience building client-facing dashboards or interactive data applications.

  • Experience with BERT, NLP, unstructured text, topic segmentation, or terminology data.

  • Familiarity with data governance, data privacy, PII handling, CUI, or secure data environments.

  • AWS, Git, Jupyter Notebook, or cloud analytics exposure.

Tools / Technologies

Python, R, SQL, Tableau, Excel, Jupyter Notebook, Git, AWS, pandas, NumPy, scikit-learn, spaCy, Keras, tidyverse, tidymodels, ggplot2, Shiny, NLP, BERT, dashboards, data visualization, statistical modeling.

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