Data Scientist

Randstad Portugal; Pindamonhangaba; Híbrido; BRL 60.000 - 100.000; Tempo integral

Resumo da oferta

An innovative start-up is seeking a Data Scientist to join their team and contribute to a no-code AI platform aimed at simplifying AI integration for businesses. In this role, you will develop and implement cutting-edge analytical models and machine learning algorithms, ensuring data integrity and optimizing model performance. You will work in a hybrid environment, collaborating with a talented team while enjoying the flexibility of remote work. This position offers an exciting opportunity to leverage your expertise in machine learning and contribute to transformative projects that enhance business operations. If you're passionate about AI and eager to make an impact, this role is perfect for you.

Qualificações

• 2+ years of relevant experience in data science and machine learning.
• Master's degree in a scientific field is required.

Responsabilidades

• Develop and implement advanced analytical models and machine learning algorithms.
• Process and verify data integrity for analysis and modeling.

Conhecimentos

Machine Learning Algorithms

Python Programming

Data Processing

Feature Engineering

Data Integrity Verification

English Proficiency

Formação académica

Master's Degree in Informatics Engineering

Master's Degree in Computer Science

Master's Degree in Mathematics

Master's Degree in Biomedical Engineering

Master's Degree in Physics Engineering

Ferramentas

TensorFlow/Keras

PyTorch

NumPy

Scikit-learn

Docker

Git

NoSQL

RabbitMQ

Descrição da oferta de emprego

Randstad is recruiting a Data Scientist for direct integration into a start-up company that develops a no-code Artificial Intelligence platform aimed at simplifying AI integration for businesses.

They have offices in Braga and Lisbon, with hybrid work arrangements requiring presence one day per week or month.

Responsibilities

1. Developing and implementing advanced analytical models and machine learning algorithms.
2. Processing, cleansing, and verifying data integrity for analysis.
3. Pre-processing structured and unstructured data.
4. Selecting features, building, and optimizing models using machine learning techniques.
5. Correlating disparate data sources.
6. Building or modifying Python APIs and machine learning algorithms to support solutions.

Qualifications

1. Minimum of 2 years of relevant work experience.
2. Master’s degree in a scientific field such as informatics engineering, computer science, mathematics, biomedical engineering, or physics engineering.
3. Strong understanding of machine learning algorithms and concepts, including CNNs, RNNs, transformer architectures, decision trees, and boosting.
4. Proficiency in Python and its machine learning libraries like numpy, scikit-learn, pandas/dask, tensorflow/keras, pytorch, etc.
5. Experience in deploying machine learning models in production environments.
6. Valuable experience with Large Language Models and Generative AI.
7. Valuable experience with NoSQL, RabbitMQ, and Docker.
8. Experience with Git version control.
9. Proficient in English.