Senior Data Scientist

buscojobs Brasil; Paraná; Teletrabalho; BRL 60.000 - 100.000; Tempo integral

Resumo da oferta

An innovative company is seeking a Data Scientist/Machine Learning Engineer to join their remote team. In this role, you'll tackle diverse business challenges by developing and deploying machine learning models. You'll work with various data sources, utilizing your expertise in NLP and computer vision to create impactful solutions. This position offers the flexibility to work from anywhere, a supportive team environment, and opportunities to experiment with cutting-edge AI technologies. If you're passionate about transforming data into actionable insights, this role is perfect for you.

Serviços

100% remote work

Flexible hours

Supportive team

Flat structure

Opportunity to work on impactful projects

Room to grow and experiment with AI solutions

Qualificações

• Minimum 2 years of experience in machine learning.
• Strong knowledge of classical machine learning techniques.

Responsabilidades

• Work with structured and unstructured data to develop ML models.
• Collaborate with data engineers on data storage and collection.

Conhecimentos

Machine Learning

Python

NLP

Data Processing

Data Visualization

Clustering Techniques

Deep Learning

Feature Selection

Formação académica

Bachelor's Degree in Data Science or related field

Ferramentas

Numpy

Scikit-learn

Pytorch

TensorFlow

NLTK

SpaCy

Descrição da oferta de emprego

Currently, we are looking for a Data Scientist / Machine Learning Engineer who will be a part of the general-purpose data science core team and work with tasks covering a wide variety of business needs with a soft focus on NLP or CV applications.

In this position, you will work with multiple data sources (usually textual, numerical and time-related data), huge and small datasets to develop, validate and deploy machine learning models, tune their performance & integrate them into data processing pipelines.

Responsibilities :

• Deal with both structured and unstructured data, collaborate with data engineers on defining data storage formats, state data collection requirements;
• Not only solve technical tasks but understand business needs and offer appropriate solutions, describe a chosen approach to non-technical people;
• Set up reproducible experiments : selection, training, validation and optimization of machine learning models, evaluation of their quality in business-related terms;
• Integrate data preprocessing and model inference into general data processing pipelines;
• Research new tools, papers, etc. in the machine learning area.

Requirements :

• Strong knowledge and deep understanding of
• lassical machine learning (linear models, decision trees, ensembles for classification and regression tasks, clustering and dimensionality reduction)
• Main concepts and stages of the modelling process (validation scheme, regularization, overfitting and generalization, data leaks, feature selection, etc.)
• Experience with Python scientific, visualization and ML-related libraries (numpy, scipy, scikit-learn, etc.)
• Experience with different clustering techniques
• Experience with classic NLP tools and techniques (nltk, spacy, n-grams, skip-grams, TF-IDF, tokenizers, lemmatization, dependencies parsing, etc.)
• Experience with NN frameworks, NLP-related architectures and libraries (Pytorch / Tensorflow, HuggingFace, fasttext, flair, sentence transformersWord2Vec, ElMo, RNN, CNN, Transformer, BERT, etc.)
• Experience in tuning pre-trained models for different NLP tasks
• Good spoken and written English (at least B1)
• Ability and desire to convert raw business requests into strictly formulated machine learning tasks
• Ability to formulate data gathering (or data labelling) requirements
• Minimum 2-year experience in machine learning

Why Join Us

100% remote with flexible hours

Work from anywhere in the world

Be part of a senior, talented, and supportive team

Flat structure – your input is always welcome

Clients in the US and Europe, projects with real impact

Room to grow and experiment with cutting-edge AI solutions