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Data Scientist Spanish Jobs in Raleigh, NC (NOW HIRING)

... data workflows, support scientific outputs, and help develop digital tools that strengthen research ... Fluency in English and either Spanish or Swahili. Preferred Qualifications * Experience with app ...

... data workflows, support scientific outputs, and help develop digital tools that strengthen research ... Fluency in English and either Spanish or Swahili. Preferred Qualifications * Experience with app ...

AP Research Tutor

Raleigh, NC · Remote

$18 - $40/hr

... design, data collection and analysis, academic writing conventions, and oral presentation ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

AP Research Tutor

Chapel Hill, NC · Remote

$18 - $40/hr

... design, data collection and analysis, academic writing conventions, and oral presentation ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

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Data Scientist Spanish information

See Raleigh, NC salary details

$44.7K

$160.4K

$236.7K

How much do data scientist spanish jobs pay per year?

As of Aug 13, 2026, the average yearly pay for data scientist spanish in Raleigh, NC is $160,411.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,800.00 and $165,300.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Scientist (Spanish), you need a strong background in statistics, programming (often Python or R), data analysis, and fluency in both Spanish and English, typically supported by a relevant degree. Experience with tools like SQL, machine learning platforms, data visualization software, and cloud services is highly valuable, along with any certifications in data science or analytics. Excellent problem-solving, communication, and cross-cultural collaboration skills help you convey insights and work effectively with diverse teams. These competencies enable you to extract actionable insights from complex datasets and communicate findings to stakeholders in both Spanish-speaking and international contexts.

What is a data scientist?

Un Data Scientist es un profesional especializado en analizar e interpretar grandes volúmenes de datos para ayudar a las empresas a tomar decisiones informadas. Sus funciones principales incluyen recolectar y limpiar datos, aplicar técnicas de análisis estadístico y machine learning, y comunicar hallazgos de manera clara a equipos no técnicos. También desarrollan modelos predictivos y visualizaciones para identificar tendencias y patrones relevantes en los datos. El trabajo de un Data Scientist es fundamental para optimizar procesos y estrategias empresariales.

How does being proficient in Spanish influence collaboration and project success for data scientists working in multilingual environments?

Fluency in Spanish significantly enhances a Data Scientist's ability to collaborate with cross-functional teams, especially in organizations that operate in Spanish-speaking regions or serve Spanish-speaking customers. It facilitates clearer communication with stakeholders, improves data collection and interpretation when working with regional datasets, and enables more effective participation in meetings and presentations. Additionally, being bilingual often opens up opportunities to lead projects targeting diverse markets and can accelerate career advancement by positioning you as a bridge between technical and business teams.

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

AspectData Scientist SpanishData Analyst Spanish
Required credentialsDegree in Data Science, Statistics, or related fields; often certifications in machine learning or data analysisDegree in Statistics, Mathematics, or related fields; certifications in data analysis tools
Work environmentDevelops predictive models, advanced analytics, machine learning algorithmsPerforms data cleaning, reporting, and basic analysis
Employer and industry usageTech companies, finance, healthcare, e-commerceRetail, marketing, finance, consulting

Data Scientist Spanish and Data Analyst Spanish share foundational skills in data handling and analysis, but Data Scientists focus more on predictive modeling and advanced analytics, while Data Analysts concentrate on reporting and descriptive analysis. Both roles are in demand across various industries, with Data Scientists typically requiring more specialized training.

What cities near Raleigh, NC are hiring for Data Scientist Spanish jobs?

Cities near Raleigh, NC with the most Data Scientist Spanish job openings:

Associate Value Engineer (AI-Driven Data Science & Analytics) - Orbit Program

Celonis

Raleigh, NC • On-site

$111K - $133K/yr

Full-time

Re-posted 15 days ago


Job description

The Team: Global Value Engineering Center of Excellence

Become an integral part of our international, diverse, and dynamic Global Value Engineering Center of Excellence. Our Value Engineers are trusted advisors who operate at the intersection of technology and business, partnering with sales and customers to develop compelling Celonis-powered solutions and prototypes that address critical business challenges.

We foster a fast-paced, collaborative environment built on trust, continuous learning, and mutual growth through coaching and mentorship. 

The Role: Launch Your Enterprise Software Career

Kickstart your career in enterprise software through our immersive 12-month Orbit Program. This program offers a unique blend of client engagements, dedicated mentorship, and a strong team culture where collaboration and shared success are paramount. You'll leverage your technical background to develop essential Value Engineering skills, build lasting client relationships, and establish yourself as a trusted advisor, paving the way for significant career growth within Celonis.

Your journey begins with comprehensive onboarding and enablement, followed by hands-on experience in customer engagements and targeted training. You will gain expertise in:

  • Building and coding within the Celonis platform (SQL and PQL)
  • Scoping business and technical requirements
  • Effectively handling objections
  • Developing industry domain knowledge
  • Delivering impactful presentations and demos
  • Understanding value selling and realization
  • Managing customer accounts

What You'll Do:

  • Consult with customers using systems analysis to identify core business challenges and determine how Celonis can drive impactful solutions.
  • Present the Celonis AI value proposition and vision to customers and align our solutions with their AI strategy.
  • Prototype and develop AI solutions tailored to customer needs, including both traditional machine learning and LLM-based solutions.
  • Execute proof projects showcasing the value of Celonis Process Intelligence in the context of our customers' strategy, business initiatives, and challenges
  • Develop and modify Celonis data models using SQL and analyses using PQL (Celonis proprietary language) to create compelling prototypes that address customer pain points.
  • Lead proof-of-concept projects within the Celonis platform to demonstrate tangible value aligned with customer strategies and needs.
  • Collaborate with customers and partners to design and build Celonis solutions that ensure a positive return on investment.
  • Establish strong, trusted advisor relationships with customers through your technical expertise, product knowledge, and business acumen.

Articulate and quantify strategic business value for customers, delivering impactful presentations to senior executives.

  • Partner with the implementation services team to ensure successful value realization for customers.
  • Identify opportunities for innovation and collaborate with Product & Engineering teams to influence future product development.
  • Contribute to the Global Value Engineering Center of Excellence by creating reusable collateral, best practices, and tools.

What You Need:

  • Bachelor's degree in Engineering, Data Analytics, Industrial Engineering, Computer Science, Mathematics, or a related STEM field.
  • Extensive internship experience or 1-3 years of full-time work experience.
  • Hands-on experience with at least one of the following: SQL, Microsoft Power BI, Tableau, or another data analytics solution.
  • A strong passion for technology, big data, and its transformative potential.
  • Excellent analytical and creative problem-solving skills, with the ability to apply technology to business challenges.
  • A customer-centric mindset with a focus on delivering value.
  • The ability to build relationships with senior management and influence decision-making.
  • Confidence in presenting to diverse audiences.
  • A proactive approach to problem-solving, with a willingness to learn from mistakes.
  • Curiosity, self-motivation, a commitment to continuous learning, and the desire to thrive in a fast-paced, high-growth environment.
  • Strong organizational skills with the ability to prioritize and execute on deadlines.
  • Excellent communication skills and fluency in English.

Bonus Points:

  • GPA of 3.6 or higher.
  • Degree in Computer Science or Data Science or a similar field.
  • Degrees combining technical (e.g., Computer Science, Data Science) and business (e.g., Economics, Marketing) skills.
  • Experience with Python and Machine Learning.
  • Customer-facing, customer success/service, or sales experience.
  • Experience with Proof of Concept projects.
  • Supply Chain process experience (Procurement, Order Management, Inventory Management, Production).
  • Finance process experience (Accounts Payable, Accounts Receivable).
  • Experience modeling ROI and TCO for business case justification.
  • Experience with SAP and/or Oracle.
  • Fluency in French and/or Spanish.

Visa sponsorship is not offered for this role.