19-08-2020
Data Scientist & Machine Learning Engineer
The Data Science area is dedicated to the analysis and modeling of data, solving various and multidisciplinary problems with the aid of knowledge from different areas (mathematics, software engineering, and machine learning algorithms). Our focus is on implementing solutions with impact and generating value. With that in mind, there is a great focus on our development methodologies and problem-solving approach. Python is the main programming language, always applied in a distributed manner when necessary, allowing the implementation of scalable solutions.
YOUR ROLE
As a Data Scientist, you will have the opportunity to solve real-world problems in some of the leading industries (Education, Science, Banking, Telecommunications, and Distribution). Your mission will be to apply various data science techniques such as training and modeling predictive models and analyzing and visualizing data to specific problems in these areas of society in order to obtain valuable information from the extraction, preparation, and manipulation of large amounts of data.
You will be responsible for:
- Implementing solutions for data extraction, transformation, and standardization that turn raw data into intelligible and relevant information;
- Researching, analyzing, and implementing modern and efficient algorithms to make the best use of the dataset under analysis;
- Performing exploratory data analysis and preparing reports based on the data to draw conclusions from them;
- Optimizing global solutions using machine learning models/information created by data analysis.
// Stacks: Python/PySpark, R
SKILLS YOU NEED TO HAVE
- Bachelor’s and/or Master’s degree in Computer Science, Information Systems, Mathematics, Computer Science, or a similar area;
- Minimum of 1 year of experience in Data Scientist roles;
- Knowledge of SQL, data manipulation, and visualization techniques;
- Experience in Python programming, particularly in the use of mathematical and machine learning libraries (NumPy, SciPy, scikit-learn, pandas, Keras, TensorFlow, PyTorch, PySpark);
- Knowledge or experience in supervised and unsupervised machine learning techniques;
- Knowledge of data mining algorithms and pattern recognition;
- Passion for data exploration, preparation, and conversion (raw -> readable -> engineering and functionality);
- Good communication skills and ability to work in a team, focusing on solving complex problems;
- Fluent in English (written and spoken).
// Extra points for:
- Experience in Microsoft Azure, GCP, and/or AWS;
- Knowledge of statistics and mathematical concepts such as linear and logistic regressions, data distribution, and normality tests.
// Learn more about the Data Science area:
Gonçalo Costa, Data Scientist
@Xpand IT
I have exposure to different business domains and to different technologies while working on a fascinating field such as this one. There is a need to elaborate on creative and functional solutions to different problems on a daily basis. Solving each one of these, make us more prepared for tomorrow’s challenges.
