Senior Data Scientist

New
Y
YLDSoftware Engineering Consultancy
Remote EUContractSenior
Salary not disclosed
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Job Details

Required Skills
PythonSQLMachine LearningNumpyPyTorchPandasTensorflowscikit-learnNLP

Requirements

  • Proven experience as a Data Scientist, with a strong focus on developing and deploying machine learning models in a production environment
  • Expertise in programming languages such as Python, with proficiency in data manipulation, analysis, and model development libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow, PyTorch)
  • Proven experience with machine learning algorithms, such as supervised and unsupervised learning techniques, time series analysis, and natural language processing
  • Strong statistical modelling skills and familiarity with statistical analysis tools
  • Proficiency in SQL and working with relational databases
  • Solid understanding of data engineering concepts, data preprocessing, and feature engineering techniques
  • Strong problem-solving and analytical skills
  • Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams
  • Strong project management skills, with the ability to prioritise tasks and meet deadlines
  • Experience in a professional engineering role iteratively shipping software with a team of close collaborators

Responsibilities

  • Collaborate with stakeholders to identify and understand business problems and define data-driven solutions
  • Lead end-to-end data science projects, from problem formulation and data exploration to model development, validation, and deployment
  • Apply advanced statistical modelling and machine learning techniques to derive actionable insights and drive strategic decision-making
  • Develop and implement predictive and prescriptive models to solve complex business challenges
  • Collaborate with software and data engineers to integrate data from multiple sources and ensure data quality and integrity
  • Communicate complex analytical concepts and insights to technical and non-technical stakeholders in a clear and compelling manner
  • Stay up-to-date with the latest advancements in data science, machine learning, and AI technologies
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