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Data Scientist Bilingual Jobs (NOW HIRING)

What you'll do...s a Distinguished Data Scientist in the Marketplace data sciences team, you'll ... Research and develop innovative content-improvement solutions leveraging multilingual and ...

As a Distinguished Data Scientist in the Marketplace data sciences team, you'll have the ... Research and develop innovative content-improvement solutions leveraging multilingual and ...

Bilingual (English & Spanish). * Project Management skills. * Shift: Administrative and according ... Leading, using and developing data science, machine learning, and artificial intelligence ...

... data augmentation, paraphrasing, and controlled generation methods. * Experience with multilingual ... Advanced degree (MS/PhD) in Computer Science, Machine Learning, Natural Language Processing, or a ...

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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 Jul 26, 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, and why are they important?

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 are Data Scientist Bilingual roles?

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? States with the most job openings for Data Scientist Bilingual jobs include:
Infographic showing various Data Scientist Bilingual job openings in the United States as of July 2026, with employment types broken down into 80% Full Time, 17% Part Time, 1% Temporary, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
R&D Food Scientist (Bilingual)

R&D Food Scientist (Bilingual)

Sterling Engineering Inc.

Chicago, IL

$26/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago


Job description

Job Title: R&D Food Scientist (Bi-Lingual English & Spanish)
Location: Chicago, IL
Hire Type: Direct Hire
Shift: 1st Shift | Monday–Friday
Compensation: $26.00/hour
Benefits: Medical, Dental, Vision, 401(k), PTO
Language Requirement: Must be bilingual in English and Spanish
Must Have Experience: Research & Development within a food manufacturing environment
Job Summary:
Seeking a Bilingual Quality R&D Technician to support new product development, quality initiatives, and documentation management within a food manufacturing environment. This cross-functional role collaborates with Production, Quality, Operations, and suppliers to help launch new products while ensuring compliance with food safety and quality standards. Ideal candidates are organized, detail-oriented, and comfortable working in both lab and manufacturing settings.
Job Duties:
  • Assist in new product development projects, supporting items such as snack products, flatbreads, and customer-branded formulations from concept through commercialization
  • Perform bench-top, lab, and pilot plant trials, making formulation adjustments to achieve targeted taste, texture, nutrition, shelf life, and cost objectives
  • Maintain and update technical documentation, including formulations, testing data, SOPs, product specifications, and change documentation
  • Partner with Production, Quality Assurance, Packaging, and Operations teams to ensure successful product scale-up and manufacturability
  • Support food safety, regulatory, and labeling compliance in accordance with company standards and customer requirements
  • Conduct sensory testing, shelf-life analysis, and competitive product evaluations to support product improvements and development initiatives
  • Communicate with ingredient and packaging suppliers regarding specifications, quality concerns, and corrective actions when needed
  • Assist with supplier quality investigations, documentation reviews, and follow-up communication
  • Provide bilingual communication support with vendors and suppliers in both English and Spanish
  • Contribute to supplier qualification efforts, ingredient sourcing, and continuous improvement projects
Qualifications:
  • 1–3 years of experience in food product development, R&D, or a similar role within a food manufacturing environment
  • Bachelor’s degree preferred in Food Science, Food Technology, Chemistry, Nutrition, or a related discipline
  • Bilingual in English and Spanish (written and verbal)
  • Strong documentation, organization, and attention-to-detail skills
  • Ability to communicate professionally with cross-functional teams and external suppliers
  • Comfortable working in a hands-on, fast-paced manufacturing and R&D environment
Qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information.