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Data Scientist Bilingual Jobs (NOW HIRING)

Grid Dynamics Holdings

Research Scientist

We're looking for a Research Scientist to lead the analysis and reporting of multilingual safety evaluation results. The role involves identifying patterns in data, creating reports and dashboards ...

Amazon

Senior Applied Scientist, APEX

Bellevue, WA · On-site

Alexa AI is looking for a Senior Applied Scientist to build Alexa+, Amazon's LLM-powered ... multilingual/multimodal understanding. We operate at massive scale - our models serve customers ...

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All JobsData Scientist Bilingual Jobs

Data Scientist Bilingual information

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$37.5K

$122.7K

$196.5K

How much do data scientist bilingual jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data scientist bilingual 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.

How does being bilingual enhance collaboration and impact in a data scientist role?

As a bilingual Data Scientist, your language skills allow you to bridge communication gaps between technical teams and stakeholders who may speak different languages. This can lead to more effective requirements gathering, clearer presentation of findings, and improved adoption of data-driven solutions across diverse teams or international markets. Being bilingual also opens up opportunities to work on projects involving multilingual datasets, natural language processing, or localized analytics, making you a valuable asset in global organizations.

What are the key skills and qualifications needed to thrive as a data scientist bilingual?

To thrive as a Data Scientist Bilingual, you need a strong background in statistics, machine learning, and data analysis, along with fluency in two or more languages, typically supported by a degree in computer science, mathematics, or a related field. Proficiency with programming languages like Python or R, data visualization tools, and experience with databases and cloud platforms are essential, and certifications such as AWS Certified Data Analytics or Microsoft Certified: Azure Data Scientist Associate are often beneficial. Excellent communication, cultural awareness, and problem-solving skills help you effectively collaborate with diverse teams and stakeholders across different languages. These combined skills enable accurate data-driven insights and ensure successful project delivery in multilingual and multicultural environments.

What is the difference between Data Scientist Bilingual vs Data Analyst Bilingual?

AspectData Scientist BilingualData Analyst Bilingual
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; programming skills in Python/R; bilingual proficiencyBachelor's in Analytics, Statistics, or related; proficiency in Excel, SQL; bilingual skills
Work EnvironmentCollaborates with data science teams, develops models, predictive analyticsPrepares reports, interprets data, supports decision-making
Employer & Industry UsageTech, finance, healthcare, consulting firmsRetail, marketing, finance, healthcare

While both roles require bilingual skills and data proficiency, Data Scientist Bilingual focuses on advanced analytics, modeling, and predictive insights, often requiring programming expertise. Data Analyst Bilingual primarily handles data interpretation, reporting, and supporting business decisions. The roles differ mainly in technical complexity and scope, but both are valuable in data-driven industries.

What is a data scientist bilingual?

Data Scientist Bilingual roles involve analyzing and interpreting complex data sets to help organizations make data-driven decisions, while also leveraging proficiency in two or more languages. These professionals must have strong skills in statistics, programming, and data visualization, as well as the ability to communicate findings across different languages and cultures. Bilingual data scientists are particularly valuable in global companies or projects that require data analysis and reporting in multiple languages, enhancing collaboration and broadening the impact of data initiatives.
More about Data Scientist Bilingual jobs

What cities are hiring for Data Scientist Bilingual jobs?

Cities with the most Data Scientist Bilingual job openings:

What states have the most Data Scientist Bilingual jobs?

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What job categories do people searching Data Scientist Bilingual jobs look for?

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Data Scientist Bilingual jobs near you
Infographic showing various Data Scientist Bilingual job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

ML Scientist - Adversarial Robustness

Mercor

San Francisco, CA • Remote

$100 - $120/hr

Full-time

Posted 2 days ago

New

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: LLM Research Scientist (Pre-training & Computer Vision & Adversarial Robustness)
Type: Contract
Compensation: $100–$120/hour
Location: Remote

Role Responsibilities

  • Train image classifiers and generative image models from scratch. Fine-tune open-weight language models.
  • Optimize models for limited data, compute, and model-size budgets.
  • Enhance model robustness against adversarial inputs and conversations.
  • Compress models to meet size and latency constraints without losing accuracy.
  • Diagnose and resolve training issues to improve model performance.

Qualifications

Must-Have

  • 3+ years of machine learning research experience (PhD research counts).
  • Strong experience with PyTorch, JAX, TensorFlow, or similar ML frameworks.
  • Degree from a top-100 university, experience at a FAANG or comparable AI company, or an equivalent research track record through publications or impactful open-source contributions.

Preferred

  • Experience with Adversarial Robustness and Efficient Computer Vision.
  • Knowledge in Generative Image Modeling and LLM Post-Training & Behavioral Robustness.
  • Experience in Multilingual Pre-training and additional areas like scaling laws and curriculum learning.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.