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Data Scientist with LLMs, Senior-Level

Globant

Data Scientist with LLMs, Senior-Level

Globant

Sao Paulo, Brazil, Brazil

·

On-site

·

Full-time

·

6d ago

At Globant, we are working to make the world a better place, one step at a time. We partner with leading global companies to enhance business development and enterprise solutions, preparing them for a digital future. With a diverse and talented team across more than 30 countries, we drive large-scale digital transformation through technology, data, and creativity.

We are seeking a Senior Data Scientist (Senior and/or Expert Level) who is passionate about innovation, ownership, and end-to-end delivery of data-driven products. This role is critical in helping our business partners evolve and adapt to increasingly personalized consumer expectations through advanced analytics, machine learning, and AI solutions.

What will help you succeed

  • Fluent English (B2 – Upper Intermediate or higher), with confidence to communicate with global stakeholders.
  • 5+ years of experience as a Data Scientist, with strong technical leadership and ownership mindset.
  • Solid background in statistics, mathematics, and data science fundamentals.
  • Proven experience leading or co-leading the design, development, and deployment of Machine Learning products, from concept to production.
  • Ability to act as a technical advisor for clients, presenting solutions through demos, technical discussions, and collaboration with Project Managers and cross-functional teams.

This position can be filled

We may use AI and machine learning technologies in our recruitment process. Compensation is determined based on skills, qualifications, experience, and location. In addition to competitive salaries, we offer a comprehensive benefits package. Learn more about our commitment to diversity and inclusion and Globant’s Benefits

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About Globant

Globant

A digitally native company that helps organizations reinvent and realize their full potential.

10,001+

Employees

San Francisco

Headquarters

Reviews

4.1

48 reviews

Work Life Balance

3.6

Compensation

4.3

Culture

4.1

Career

4.6

Management

3.9

78%

Recommend to a Friend

Pros

Cutting-edge technology stack and interesting technical challenges

Competitive compensation packages with equity

Opportunities for continuous learning and growth

Cons

Organizational changes and restructuring can be disruptive

Work-life balance can be challenging during product launches

Fast-paced environment with tight deadlines

Salary Ranges

46 data points

Junior/L3

Senior/L5

Junior/L3 · Data Scientist

0 reports

$51,292

total / year

Base

-

Stock

-

Bonus

-

$43,598

$58,986

Interview Experience

1 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Interview

4

Behavioral Interview

5

Final Decision

Common Questions

Technical Knowledge

Coding/Algorithm

Behavioral/STAR

Past Experience