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Senior Data Scientist

Posted 3 months agoInactiveViewed

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💎 Seniority level: Senior, 4 to 5 years

📍 Location: Ireland, Spain, Portugal, Greece, United Kingdom

🔍 Industry: Cybersecurity

🏢 Company: BforeAI

⏳ Experience: 4 to 5 years

🪄 Skills: PythonSQLElasticSearchKafkaMachine LearningMicrosoft AzureMongoDBPyTorchRedisNosqlSparkTensorflow

Requirements:
  • You have a Master's or Ph.D. in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field.
  • You have proven industry experience of at least 4 to 5 years in data science, particularly with a focus on cybersecurity or networking.
  • You have a solid understanding of cybersecurity principles, threat detection, and network protocols.
  • You have strong programming skills in Python.
  • You have experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn.
  • You are proficient in data manipulation and analysis using SQL.
  • You are proficient in working with NoSQL databases like MongoDB, Redis, Neo4j.
  • Preference for experience with Vector databases.
  • You are familiar with big data technologies such as Spark, Flink, and Kafka.
  • You are familiar with workflow orchestration frameworks like Airflow and Kubeflow.
  • You are familiar with distributed search and analytics engine like Elasticsearch.
  • You have experience with data visualization tools such as Tableau, Power BI, or similar.
  • You have hands-on experience with Microsoft Azure and Azure AI platform; experience with AWS or GCP is a plus.
  • You must have experience with MLOps (i.e., deploying, monitoring, and maintaining machine learning models in production environments).
Responsibilities:
  • Develop and implement advanced machine learning models and algorithms to detect and respond to cybersecurity threats and anomalies in network traffic.
  • Analyze large, complex datasets from various sources to identify patterns, trends, and insights related to cybersecurity and network performance.
  • Collaborate with cybersecurity analysts, network engineers, and other stakeholders to understand their requirements and translate them into technical solutions.
  • Design and conduct experiments to evaluate the effectiveness of different algorithms and models detecting security threats to optimize performance.
  • Build and maintain scalable data pipelines and architectures to process and analyze real-time and batch data.
  • Create and deliver clear, concise, and actionable reports and visualizations for both technical and non-technical stakeholders.
  • Lead with innovation and stay at the forefront of data science, cybersecurity, and networking advancements, continuously bringing new ideas and methodologies to the table.
  • Mentor and guide junior data scientists, providing technical leadership and fostering a culture of continuous learning and improvement.
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