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lavori da Recursos Humanos in località Spagna

SENIOR DATA SCIENTIST

JR Spain

Barcellona
In loco
EUR 50.000 - 70.000
30+ giorni fa
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Madrid
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Human Resources Executive

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Barcellona
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Growth Marketing Specialist - Permanent - Barce...

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Lavori da AutonomoLavori da BarLavori da FutbolLavori da Redes SocialesLavori da Historia Del ArteLavori da Auxiliar De ServiciosLavori da CulturaLavori da PerfumeriaLavori da Director FinancieroLavori da Fruta

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Città principali:

Lavori a BarcelonaLavori a ValenciaLavori a SevillaLavori a MurciaLavori a GranadaLavori a MallorcaLavori a VigoLavori a ValladolidLavori a SantanderLavori a Donostia
SENIOR DATA SCIENTIST
JR Spain
Barcellona
In loco
EUR 50.000 - 70.000
Tempo pieno
30+ giorni fa

Descrizione del lavoro

A global tech company in Barcelona is looking for an experienced Data Scientist to shape and develop innovative data science projects. The ideal candidate has over 5 years of experience in the field and strong skills in machine learning, SQL, and data visualization tools. Join an inclusive team that values growth and global expansion.

Servizi

Flexible PTO
Growth and development opportunities
Inclusive work environment

Competenze

  • 5+ years of experience as a data scientist.
  • Experience in developing machine learning models.
  • Understanding of distributed systems/computing.

Mansioni

  • Work on and shape data science projects.
  • Develop machine learning models and visualizations.
  • Educate and train others on Data Science.

Conoscenze

Machine learning
Data visualization
SQL
NoSQL
Cloud computing

Formazione

Masters or Ph.D. in applied mathematics, computer science, or quantitative discipline

Strumenti

Databricks
Jupyter Notebook
TensorFlow
PyTorch
Descrizione del lavoro

Social network you want to login/join with:

We believe in a world where growth thrives across borders and cultures. That's why our Founder and CEO Rick Hammell started Atlas, coining the term Employer of Record (EOR) simultaneously. As an EOR, Atlas employs people to work for companies anywhere in the world. Before we came along, the only businesses offering a similar solution were essentially brokers. They'd outsource your HR and payroll services to third-party providers in different countries. Today, we're the only 100% Direct EOR in the world, partnering with clients to get to market 82% faster, at a reduced cost, and with lower risk through local expertise in over 160 countries.Atlas technology powers the idea that companies can employ whoever they want, wherever they are in the world. Through our cloud-based platform, we deliver the Human Resources infrastructure that underpins international growth, leaving companies free to focus on the strategy that makes it happen. We partner with our clients through their international life cycle from the first dip in the global pool until the moment it's time to set up their own entities and run payroll. Atlas is here from point A to point Z.The future of work is borderless, and so are we. So, it helps that our people are located around the globe — in the US, UK, India, China and beyond — and speak 90+ languages. Diversity and inclusion are at our core.We're excited about our next phase of growth. We're launching new tech, adding new solutions and now we're looking for YOU — eager for a challenge, energized by innovation and aligned with our mission to deliver a future of work without borders.**Key Responsibilities**- Work on and shape an uncharted domain/greenfield data science project.- Identify business problems and find the right data/mathematical techniques to address them.- Develop machine learning models to classify objects, identify patterns, support decisions, make recommendations, predict outcomes.- Create high-quality data visualizations.- Educate and train others on Data Science related matters. Present mathematical models in a clear and informative way.**About You**- You have a Masters or Ph.D. degree in applied mathematics, computer science, or other quantitative discipline.- You have 5+ years of experience as a data scientist.- Prior experience with SQL and NoSQL.- You understand the concept of distributed systems/computing.- You know a variety of classification, regression, clustering, dimension reduction, ensemble etc. techniques, for example, random forest, linear/logistic regression, CNN, SVM, PCA.- You have at least theoretical knowledge about the NLP techniques.- You are experienced with modern data science tools, for example, Databricks/Jupyter notebook, AutoML/MLOps/MLFlow/SageMaker/Azure ML.You have experience with some of Spark/MLlib and/or Python ML libraries, for example, NumPy, Scipy, SciKit-Learn, Pandas, TensorFlow/Keras/PyTorch, OpenAI, OpenNLP, and you always know which one to use.- You understand why data wrangling is vital. You know how to build ML pipelines, tune hyperparameters train/test/validate/evaluate/deploy models.- You know data visualization tools, for example, Plotly, Seaborn, Matplotlib.- You feel comfortable with at least one of the Cloud providers.- Passion for building something new, explore uncharted areas, learning new techniques and methodologies.- Experience with productionalization of data science solutions.- You are a storyteller and have tens/hundreds of stories about earlier projects.**What We Value**- You have excellent verbal and written communication skills.- You are an out of the box thinker.- You have fluency in English.**What We Offer**- The opportunity to work with a purpose — simplifying global expansion while supporting sustainable communities around the world- A diverse and inclusive environment, with over 40 nationalities represented, 90+ languages spoken, and a workforce made up of 52% women- Flexible PTO and birthdays off- Growth and development opportunities with access to Coursera - a leading learning and certification provider- The opportunity to challenge yourself in a high-performing organization and leave each day knowing you have made an impact.This position description may not describe all duties, responsibilities, and skills associated with this position. It is intended to portray the major aspects of the job. Other duties or skills may be required.

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* Il benchmark retributivo si basa sugli obiettivi retributivi dei leader del mercato nei rispettivi settori. È pensato per orientare gli utenti Premium nella valutazione delle posizioni aperte e aiutarli a negoziare la propria retribuzione. Tale benchmark non è fornito direttamente dall'azienda, quindi la retribuzione effettiva potrà risultare anche notevolmente superiore o inferiore.

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