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Data Scientist Job Opening In Buenos Aires – Now Hiring Laborintos


Job description

Contamos con un equipo sólido y robusto de consultores especializados en búsqueda y selección de personal, así como en consultoría en diversos temas asociado al Talento Humano en múltiples sectores y países, garantizando de esta manera la prestación de un servicio oportuno y resolutivo a cada una de las empresas que nos confían la selección y/o el entrenamiento de sus profesionales.

Actualmente sumamos más de 10 años de experiencia en el manejo de procesos, tanto individuales como masivos, a nivel local y regional.



Overview

Major Oil and Gas company is seeking a Data Scientist to join the Global Optimizer Department.

The Global Optimizer Development Department (GOD) charter is to optimize crude allocation and the operations of global manufacturing facilities in order to maximize revenue, increase profitability, and capture international market opportunities.

Your primary role is to analyze and structure large amounts of raw live and historical data, build algorithms and solutions around the data to drive decision making within the company.

Your role will be at the core of the forecasting and predictive digital strategy of the company, to support the development of state-of-the-art solution for the Downstream Digital Center.

Duties and Responsibilities


  • Formulate and lead multi-faceted analytic studies against large volumes of data.

  • Interpret and analyze data using exploratory mathematic and statistical techniques based on the scientific method.

  • Coordinate research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.

  • Experiment against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.

  • Lead all data experiments tasked by the Data Science Team.

  • Coordinate with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts.

  • Develop methodology and processes for prioritization and scheduling of projects.

  • Analyze problems and determines root causes.

  • Define company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models.

  • Work closely with all business units and engineering teams to develop strategy for long term data platform architecture.

Minimum Requirements


  • You will have a Bachelor's degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields.

    An advanced degree is preferred.

  • You will have a minimum 7 years of professional experience as a data Scientist.

  • You will have Proficiency with one or more programming languages (Java, C++, Python, R, etc.).

  • You will be able to demonstrate experience applying data science methods to real-world data problems.

  • You will also have experience in utilizing visualization tools to take advantage of the growing volume of available information.

  • You will be willing to move to the Kingdom of Saudi Arabia.

Required Skill Profession

Mathematical Science Occupations


  • 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 Buenos Aires, Argentina, highlighting market share and opportunities for professionals in Data Scientist roles.

26298 Jobs in Argentina
26298
1497 Jobs in Buenos Aires
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Download Data Scientist Jobs Trends in Buenos Aires and Argentina

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 Laborintos 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 Argentina 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 Buenos Aires. 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 Mathematical Science Occupations 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.

How Can I Improve My Chances of Getting Hired for Data Scientist?

To improve your chances of getting hired for Data Scientist, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Data Scientist Job Success

Laborintos 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 Laborintos'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 Laborintos, 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 Laborintos'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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