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Data Scientist Job Opening In Lima – Now Hiring Llamabara Tech


Job description

About the Company

Llamabara Tech is a technology company based in Peru, providing value-added IT services to SaaS platforms across Latin America.

Our mission is to combine innovation, data, and technology to help our clients grow, optimize risk management, and deliver better customer experiences.

About the Role

We are looking for a
Data Scientist (Mid/Senior)
to join our Data & Analytics team.

You will work with large-scale datasets, design and deploy predictive models, and uncover insights that drive business impact.

This role is ideal for someone passionate about applied machine learning, eager to translate data into tangible outcomes, and ready to thrive in a fast-paced environment.

Key Responsibilities

  • Perform Exploratory Data Analysis (EDA) to understand data structure, quality, and relationships, ensuring relevant features are used for model development.

  • Design, validate, and deploy ML models for risk management, customer analytics, and revenue optimization.

  • Perform advanced feature engineering using historical and real-time data.

  • Automate data workflows and scoring pipelines for scalability.

  • Build dashboards and visualizations (Tableau/PowerBI) to communicate insights to stakeholders.

  • Conduct exploratory and statistical analysis to identify patterns and business opportunities.

  • Collaborate with cross-functional teams (Product, Operations, Business) to deliver data-driven solutions.

  • Ensure data quality through validation, monitoring, and cleansing processes.

  • Research and experiment with new ML techniques and tools to keep solutions state-of-the-art.

  • Document data analysis, feature engineering steps, and model development to ensure reproducibility, transparency, and knowledge sharing across teams

Required Skills & Qualifications

  • Bachelor's in Computer Science, Statistics, Mathematics, Engineering, or related field.

  • 3+ years of experience in Data Science, Machine Learning, or Analytics.

  • Experience working with large datasets (1M+ records per day).

  • Strong programming skills in Python (pandas, numpy, etc.) and SQL.

  • Solid understanding of ML algorithms (classification, regression, ensemble methods).

  • Hands-on experience with BI tools (PowerBI/Tableau) and version control (Git).

  • Experience with cloud platforms (AWS/GCP) and distributed systems (Spark/Hadoop/BigQuery) is a plus.

  • Familiarity with A/B testing, causal inference, and production-level ML deployment is desirable.

  • Strong analytical mindset, communication skills, and problem-solving abilities.

  • Advanced English proficiency

Key Competencies

  • Strong critical thinking and analytical skills to question assumptions, validate insights, and connect data findings with business context.

  • Strong foundation in statistics and machine learning.

  • Ability to present technical insights in a clear, business-oriented way.

  • Creativity, innovation, and self-motivation with attention to detail.

  • Team player with excellent collaboration skills.

  • Ability to manage projects end-to-end and prioritize effectively.

What We Offer

  • End-to-end exposure to production-grade ML model development.

  • Opportunity to work on high-impact projects with multicultural teams.

  • A collaborative and innovative environment where data drives decisions.

  • Permanent employment contract (full payroll).

  • 100% covered EPS Rimac health insurance (Plan Adicional 1).

  • Hybrid work model (Office location: San Isidro).

  • Access to company-paid trainings and certifications.

  • Team-building activities and integration events.

Required Skill Profession

Other General


  • Job Details

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Unlock Your Data Scientist Potential: Insight & Career Growth Guide


Real-time Data Scientist Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data Scientist in Lima, Peru, highlighting market share and opportunities for professionals in Data Scientist roles.

439 Jobs in Peru
439
206 Jobs in Lima
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Download Data Scientist Jobs Trends in Lima and Peru

Are You Looking for Data Scientist Job?

Great news! is currently hiring and seeking a Data Scientist to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Llamabara Tech adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Peru laws and regulations

What Is the Average Salary Range for Data Scientist Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Lima. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Data Scientist?

Key qualifications for Data Scientist typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Data Scientist Job Success

Llamabara Tech interview tips for Data Scientist

Here are some tips to help you prepare for and ace your Data Scientist job interview:

Before the Interview:

Research: Learn about the Llamabara Tech's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Data Scientist interview at Llamabara Tech, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Llamabara Tech's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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