Data Scientist Ph.D

hace 2 semanas


Santander, España Atwork Corporate Ag A tiempo completo

.Your missionPartner with Product and cross-functional teams to inform, influence, support, and execute product strategy.Design and implement robust analytic solutions ranging from basic statistical analysis to advanced Machine Learning / Artificial Intelligence algorithms to cover the identified needs.Construct and manipulate large datasets, and apply creativity in developing solutions using SQL, Python, and other tools.Analyze data to discover hidden trends; deliver insights and analysis with clear actionable recommendations.Design, build, and implement models into our solutions.LocationRemote in Spain.Hybrid in Santander.Your profileBachelor degree/MSc in a relevant field such as Statistics, Computer Science, Applied Math, Psychology or other related subject.If you are a Ph.D. student or have your Ph.D., you are exactly what we are looking for. No prior corporate experience is required.You have experience in several of the following areas:Background in statistics: familiarity with practically applying both descriptive and predictive models.Solid background using Bayesian statistics and inference.Solid understanding of the Generalized Linear Model (GLM), preferably having developed customized models to suit diverse needs.Experience designing and optimizing Artificial Neural Networks (ANNs).You have employed Bayesian optimization for hyperparameter searching.Knowledge of psychometry (SEM, CFA, EFA, EGA, etc.).Experience with NLP and using LLMs.Enjoy taking ownership and challenging existing approaches.Strong curiosity, problem-solving and problem-finding skills; creative mindset.Proactive attitude towards the creation and evaluation of new hypotheses and products.Ability to synthesize business questions to key research objectives.Hands-on knowledge of data science and Big Data tools:Experience with data querying languages (e.G. SQL & NoSQL), scripting languages (e.G. Python), and/or statistical/mathematical software.And techniques:Solid understanding of Generalized Linear Models (GLMs).STAN (cmdstanpy, RStan, etc.) for Bayesian statistical modelling.Regression, clustering and other ML algorithms.Experience with Huggingface models for generating text embeddings.Experience with Deep Learning frameworks, preferably PyTorch.Experience with ML.NET and Azure Machine Learning.Experience with additional programming languages (such as: C#, Java).Familiarity with HR / Occupational data and databases.Data visualization skills to generate qualitative insights.Languages we expect you to bring:Spanish Professional.English Professional.What you can look forward to with usBeing part of a growing and dynamic start-up culture.A permanent contract.Hybrid (Santander) or remote work with flexible working hours (Fridays till 3 pm and reduced hours in summer).25 holidays a year and 2 additional not 'at work' days.1 additional week salary/holidays per 3 years of employment.Learning budget and learning hours for your development.Regular team events in Santander


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