Data Scientist

Remote - Europa, Oriente Médio e África

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We are seeking a highly skilled Data Scientist to join our team and drive data-driven decision-making. The ideal candidate will have expertise in machine learning, statistical modeling, and big data analytics to extract valuable insights from large datasets. You will work closely with cross-functional teams, including data engineers, software developers, and business analysts, to develop predictive models and AI-powered solutions.

Requirements

Education

  • PhD
  • Master’s degree

Experience

  • Experience with machine learning frameworks
  • Experience with big data technologies
  • Experience with cloud platforms
  • Experience with MLOps pipelines
  • Experience with data visualization tools
  • Experience with databases

Skills

  • Python
  • R
  • SQL
  • TensorFlow
  • Scikit-learn
  • PyTorch
  • Spark
  • Hadoop
  • Kafka
  • AWS
  • GCP
  • Azure
  • Docker
  • Kubernetes
  • CI/CD
  • Tableau
  • Power BI
  • Matplotlib
  • Seaborn
  • Snowflake
  • Redshift
  • NoSQL

Responsibilities

  • Collect, clean, and preprocess structured and unstructured data from various sources.
  • Perform exploratory data analysis (EDA) to uncover trends and patterns.
  • Develop predictive and prescriptive models using machine learning (ML) and statistical techniques.
  • Build, train, and optimize ML models using frameworks like TensorFlow, PyTorch, Scikit-learn.
  • Develop deep learning, NLP, or computer vision solutions (if applicable).
  • Implement model validation, A/B testing, and hyperparameter tuning.
  • Work with big data tools such as Apache Spark, Hadoop, and Databricks.
  • Deploy models on AWS, GCP, or Azure AI platforms (e.g., SageMaker, Vertex AI).
  • Develop dashboards and reports using Tableau, Power BI, or Looker.
  • Present findings and insights to stakeholders, executives, and product teams.
  • Work closely with data engineers to optimize data pipelines.
  • Deploy ML models into production with MLOps best practices (Docker, Kubernetes, CI/CD).

Technologies

PythonRSQLTensorFlowPyTorchScikit-learnApache SparkHadoopDatabricksAWSGCPAzureSageMakerVertex AITableauPower BILookerDockerKubernetesCI/CDKafkaSnowflakeRedshiftNoSQLMatplotlibSeaborn

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