Data Scientist

At Moove It we design, develop, and deploy custom software solutions for organizations that want to make an impact through technology. Being officially recognized as a Great Place To Work in LATAM, we offer the perfect balance between work and fulfilling life. Here you can develop your passions and form strong relationships. Moove It is your opportunity to leave your mark in creating a better world for everyone, working on international projects that have a positive impact on our society.

Our fast-growing AI & Machine Learning Studio is looking for a new teammate!

We're excited to offer this opportunity to join our team. Take a look at the details of this position and apply if you feel you're a good fit. We look forward to receiving your application.

You are excellent at doing the following

Use predictive models to increase and optimize customer experience, revenue generation, direct mail targeting, fraud detection and other business outcomes.

Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.

Develop machine learning models, select features, build and optimize classifiers using various machine learning techniques.

Doing ad-hoc analysis and presenting results in a clear manner to Sr. Management.

Coordinate with other functional teams to implement models and monitor outcomes.

Develop and enhance processes and tools to monitor model performance and input data accuracy.

What will make you a perfect fit:

3-4 years of on the job experience as a data scientist or an advanced degree (Master’s or PhD in machine learning and/or other quantitative fields).

2-3 years expertise in machine learning theories and practices, including regression models, GLM, SVM and tree based models (e.g. Boosting, Random Forest).

Familiarity with Object-Oriented Design (OOD) concept and functional programming with 2+ years experience writing code.

Expertise in at least one statistical programming language such as Python (preferred) or R and ability to build statistical models in the programming language.

Proven ability to communicate findings clearly to both technical and non-technical audiences.

Experience with relational databases such as Oracle, PostgresSQL, SQL Server.

Experience in a data science or ML Ops role at a banking/financial institution or fin-tech.

You don't have to meet all requirements to be able to apply.

Apply if you think you are a good fit and we will take it from there.

The benefits that make us a great fit

benefits

Work-life balance

Plenty of fun, team-building activities every month.
Positive and collaborative working environment.
Free lunch at the office every Friday!
Develop your passions, whether by playing sports, an instrument, or brewing the perfect coffee.
Healthy breakfasts and snacks to share everyday.