Offer summary

Qualifications:

Minimum 4 years of experience as a Data Scientist., Proficiency in Python and libraries like Numpy, Pandas, Scikit-learn., Experience with AWS services such as SageMaker, S3, Lambda., Strong background in statistical analysis, machine learning algorithms, and data modeling..

Key responsibilities:

Perform data analysis to evaluate complex operational data.

Design, develop, and deploy machine learning models using AWS SageMaker.

Create reports and dashboards to communicate insights.

Collaborate with team members to improve processes and systems.

Job description

Remote, Colombia | Full Time | 4+ years experience | English (B2+) | Competitive Salary

Although immediate hiring may not be guaranteed, applying to this vacancy will enable us to consider you for future projects and opportunities.

Why Apply to Koombea?

Did you know that Koombea is one of Latin America's fastest-growing software development companies? We help our clients all over the world build digital products that make users' lives better.

By joining our team, you will not only receive amazing benefits and become part of a flexible and innovative work culture. You will also get to share directly with some of the region's most talented and intelligent software developers.

The Job

This role involves leveraging your expertise in data science and machine learning to design, develop, and optimize predictive models and intelligent solutions, ensuring high performance, scalability, and adaptability. Experience with AWS services (especially SageMaker) is highly valued.

What You’ll Do

Perform data analysis to assess the quality, structure, and meaning of complex operational data.

Use statistical tools and machine learning techniques to identify, analyze, and interpret patterns and trends in large datasets for diagnosis and prediction.

Design, build, and deploy machine learning models using AWS SageMaker and related AWS services.

Develop complex mathematical, simulation, and optimization models aligned with business rules and requirements.

Prepare reports and dashboards that clearly communicate trends, patterns, and actionable insights.

Collaborate with programmers, engineers, and stakeholders to identify process improvement opportunities and propose system enhancements.

What You'll Bring to the Team

+4 years of experience as a Data Scientist.

Strong experience in Python (preferred), with proficiency in libraries such as Numpy, Pandas, and Scikit-learn.

Experience working with AWS (SageMaker, S3, Lambda, etc.); AWS certifications are a plus.

Solid background in statistical analysis, machine learning algorithms, and data modeling.

Knowledge of SQL and experience with data processing pipelines.

Ability to visualize and present data effectively using tools like Matplotlib, Seaborn, or similar.

Analytical and problem-solving mindset with excellent attention to detail.

English proficiency (B2 or higher).

We Offer You

Flexible Working Schedule

Remote Work

Competitive Compensation

Performance Bonuses

Surprise Goodies

+ Many Cool Benefits

About Koombea

Koombea is an international app development company founded in 2007. We've built hundreds of apps. Some of them have been acquired by companies like Google, Motorola Solutions, Demandforce, Facebook, and Skype.

Life At Koombea

If you are looking for a fun and international environment where you can interact with super-smart people, this is the right place for you.

Join our company and enjoy a healthy work-life balance where flexibility is vital. You will be able to manage your schedule and your career so that you make the most out of your experience at Koombea.

Hiring Process

1. Apply

Send us your CV and our team of recruiters will evaluate it.

2. Interviews

Key team members will invite you to meetings to get to know you better.

2. Design Challenge

You’ll get to show off your design skills.

4. Decision

We will let you know if there is a strong fit.

Do You Have Any Questions?

We’d love to hear from you.

Feel free to contact us at recruiting@koombea.com