Expert AI & Data Science

NLP PEOPLE; Valencia; Presencial; EUR 40.000 - 60.000; Jornada completa

Descripción de la vacante

A leading technology company in Valencia is seeking a Data Scientist to implement data science pipelines, automate processes, and research machine learning techniques. The ideal candidate has over 3 years of experience in Python and NLP, along with strong analytical skills. Join our dynamic team and drive innovation in data-driven solutions.

Formación

• 3+ years experience with applications in Python.
• 2+ years solving data science problems with Python libraries.
• High level of English, written and spoken.

Responsabilidades

• Implement complete data science pipelines.
• Automate data science processes.
• Research and analyze machine learning techniques.

Conocimientos

Data extraction

Data preprocessing

Machine learning modeling

Feature engineering

Data analysis

NLP

Python proficiency

Educación

University degree in a relevant field

Herramientas

Scikit-learn

TensorFlow

Keras

Pytorch

Pandas

Numpy

MatplotLib

Descripción del empleo

GFT is a business change and IT company trusted by the world’s leading financial institutions to meet the demands of the digital revolution. Innovation and creativity are part of our DNA and drive our own success story.

Responsibilities

• Implement complete data science pipelines to solve business problems, including data extraction, data preprocessing, exploratory data analysis, feature engineering, machine/deep learning modeling, and application deployment.
• Extraction and selection of features, building and optimizing supervised models using machine/deep learning.
• Processing, cleansing and verifying data integrity used for the analysis processes.
• Automate data science processes and ml-systems and constant tracking of its performance.
• Research and analyze state-of-the-art machine learning techniques.
• Write technical documentation and results.

Company

GFT Group

Qualifications

Minimum requirements:

• Passion and enthusiasm for data science and machine learning.
• 3+ years of experience researching and/or developing applications in Python.
• 2+ years of experience solving data science problems in Python (Scikit-learn, TensorFlow, Keras, Pytorch, Pandas, Numpy, MatplotLib).
• Demonstrable experience implementing supervised models using machine/deep learning techniques, including word embeddings, convolutional and recurrent neural networks, and gradient boosting.
• Knowledge and experience processing structured and unstructured data, especially Natural Language Processing (text extraction, text-based feature engineering).
• Solid understanding of machine/deep learning concepts like backpropagation, gradient descent, vanishing gradient problem, data leakage, stratified sampling, and data augmentation.
• Good applied statistics skills, such as distributions, statistical testing, regression, etc. Bayes rule, Hypothesis tests.

High level of English, written and spoken

Optional requirements

• Master/Course in Data Science, Deep Learning or Machine learning (University, Udacity, Coursera…)
• Python scripts for automation, unit tests, deployment
• Experience with NLP python libraries like NLTK, Gensim, GluonNLP, Beautiful-Soup
• Experience with state-of-the-art python libraries like Dask, Hyperas, Flair
• Visualization libraries and frameworks like Seaborn, Bokeh, D3.js, GGplot, Plotly
• Semi-supervised and unsupervised training, reinforcement learning
• Development of custom loss functions and metrics for neural network modeling
• ML-based application deployment: Web Server Gateway Interface, Flask, Django, Apache server, Docker, Kubernetes
• Experience with Java, C++, PHP, Matlab/Octave
• University degree or its equivalent
• Web-based interfaces: Javascripts, node, angular, react
• Experience with SQL and NoSQL databases
• Knowledge of classical Artificial Intelligence
• Experience with distributed TensorFlow (CPUs, GPUs, TPUs)
• Experience with Big Data: PySpark / Scala
• Other: GIT / Linux / Bash (public repository with data science projects)

Soft Skills

• Team worker; ability to work with teams distributed geographically in different locations
• Proactive, motivated and willing to consolidate and develop a professional career
• Analytical, logical and critical thinking. Solid problem-solving skills: ability to identify problems and suggest mitigating and contingency actions
• Expert ability to work independently and manage one’s time
• Ability to deal with ambiguous situations
• Practical, committed, open-minded, and positive
• Advisory skills

Language requirements

English

Level of experience (years)

Mid Career (2+ years of experience)

Tagged as: Data Mining, Industry, Spain