BforeAI is an innovative and rapidly expanding scale-up dedicated to deterring cybercrime through cutting-edge predictive and pre-emptive technologies. We harness the power of prescriptive AI to revolutionize the way we tackle cyber threats, particularly in the realm of brand protection.
Named by Gartner in 26 reports over the last 2 years, BforeAI is the industry’s fastest, most accurate solution for automated protection against online fraud.
We are like weather forecasts for cyber threats. Join us in the fight for a safer cyberspace!
🚀 Why it’s great to work here
We are a location independent company – no physical office required – and we operate as a fully distributed team. We deeply believe in the value of diversity and inclusivity within our workplace, understanding that these principles lead to a happier team and ultimately a superior product. We offer an intellectually stimulating company environment and you’ll be working with a bright, dedicated team from across the globe.
If you possess a high level of autonomy and self-organization, and feel you can thrive at BforeAI, we’d love to hear from you!
✨ What’s Cool About This Job
Are you a seasoned Data Scientist with a passion for cybersecurity and networking? BforeAI is seeking an exceptional Senior Data Scientist to join our innovative team!
In this pivotal role, you will leverage your expertise to develop cutting-edge analytics and machine learning models that proactively detect and mitigate security threats, optimize network performance, and generate actionable insights.
Please note, this job can be anywhere - we have to select a city for job boards.
📣 What you’ll be doing
- 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.
💥 You’ll be a great fit if
- 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 with similar experience in data science, with a focus on cybersecurity or networking.
- You have a solid understanding of cybersecurity principles, threat detection, and network protocols.
- You are a strong communicator, with the ability to explain complex technical concepts to non-technical audiences.
- You have strong programming skills in Python.
- You have experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, etc.
- You are proficient in data manipulation and analysis using SQL.
- You are proficient in working with NoSQL databases (e.g., MongoDB, Redis, Neo4j)
- It would be preferable to have some experience with Vector databases
- You are familiar with big data technologies such as Spark, Flink and Kafka.
- You are familiar with workflow orchestration frameworks (e.g., Airflow, Kubeflow, etc.)
- You are familiar with distributed search and analytics engine (e.g., Elasticsearch)
- You have some experience with data visualization tools such as Tableau, Power BI, or similar.
- You have hands-on experience with Microsoft Azure and Azure AI platform and preferable to have similar experience with AWS or GCP.
- You must have experience of MLOps ( i.e., deploying, monitoring, and maintaining machine learning models in production environments).
Don't meet every single requirement? Don't count yourself out just yet. Studies show some individuals are less likely to apply to jobs unless they meet every qualification. At BforeAI, we're dedicated to building a diverse workplace based on merit, work ethics, and character, and we believe everyone deserves a fair shot at success!
If you're excited about this role but your past experience doesn't align perfectly with every qualification, we hope you’ll still consider applying!
We use an Employee of Record service to facilitate seamless global hiring processes and offer benefits tailored to the country where you will be working! For countries not supported by our EOR partner, talk to us about being a contractor. In all cases, you will need to be authorized to work in the country you’re based in.
💡 Want to know more about BforeAI?
- About BforeAI
- BforeAI on YouTube
- Our Values & Benefits at BforeAI
- Our CMO Luciano Allegro highlights the importance of a proactive cybersecurity approach in a recent TechNewsWorld article
- Our CEO Luigi Lenguito on Pre-crime Threat Intelligence
- BforeAI has been named a 2024 Cool Vendor by Gartner for Artificial Intelligence in Banking and Investment Services
