Position: Data Scientist/ML Engineer
Company: PayPro Global
Category: Data Science
Experience required: 1y
English level: intermediate
Published: 2023-03-01T00:00:00+02:00

We are looking for a self-motivated person who can work independently, take initiative, and prioritize tasks effectively. The ideal candidate should be eager to learn and growth, possess good organizational and time-management skills. A positive and proactive attitude, good communication skills, and the ability to collaborate with others are highly valued.

Required qualifications:

•	At least 1 year of experience in a production environment.
•	Familiarity with classical machine learning algorithms, including decision trees and their ensembles, linear models (such as linear regression, logistic regression, and support vector machines), clustering methods (such as K-means and hierarchical clustering), and time series models.
•	Understanding of statistics, including concepts such as probability, hypothesis testing, sampling theory, descriptive statistics.
•	Having knowledge of either Python or R programming language.
•	Preferably experienced with SQL databases and data visualization tools like Power BI.
•	Having knowledge of deep learning algorithms for natural language processing (NLP) would be a plus.

Responsibilities:

•	Analyze data using statistical and analytical methods to assist businesses with coordination.
•	Conduct, research and develop mathematical and statistical models to solve problems related to generative modeling and recommendation systems.
•	Perform feature engineering.
•	Deploy and maintain models in a production environment.

What we offer:

•	$ based salary.
•	Mentorship and career growth opportunities.
•	Online English course.
•	Fully paid sickness leave and annual vacation of 14 working days. 

PayPro Global is an equal opportunity employer. We create a culture where everyone is respected and can be themselves. Your innovation will help us grow our bottom line only if you bring your authentic self.