Are you passionate about pushing the boundaries of data science to revolutionize the Internet of Things (IoT) connectivity landscape? Join us at FloLIVE, where we are leading the charge in transforming global IoT connectivity through innovative solutions. We are seeking a talented and driven Data Scientist to spearhead the establishment of an AI solution for Cybersecurity and operational anomaly detection in our dynamic IoT connectivity platform.

About Us:

FloLIVE is at the forefront of the IoT Connectivity market, providing a comprehensive Connectivity Management Service to Enterprises, Cloud providers, IoT service providers, and Mobile Operators worldwide. With operations spanning across the United Kingdom, United States, Israel, Bulgaria, and China, we deliver secure, high-performance, and compliant connectivity for IoT devices across all continents. Backed by leading venture capital investors, our platform leverages cutting-edge software-defined connectivity technology to empower our clients to connect and manage their devices seamlessly.

Position Overview:

As a Data Scientist at FloLIVE, you will play a pivotal role in building and optimizing our AI/ML product focused on cybersecurity and operational anomaly detection within large datasets. This is a unique opportunity to establish an innovative AI solution from the ground up, driving actionable insights and enhancing the security and efficiency of IoT connectivity on a global scale.

Key Responsibilities:

•  Develop, maintain, and enhance advanced AI/ML models for anomaly detection tailored to the IoT connectivity domain.
• Utilize advanced techniques to uncover patterns and trends within extensive datasets, enabling proactive risk mitigation and strategic decision-making.
• Interpret data using statistical techniques and leverage machine learning algorithms to drive actionable insights.
• Collaborate closely with engineering and product teams to integrate AI solutions seamlessly into our platform, ensuring optimal performance and scalability.
• Be hands-on in developing models and writing code, choosing the appropriate AI model for the task at hand.

Qualifications:

• Bachelor’s degree in Statistics, Computer Science, Data Science, or a related field; Master’s degree or Ph.D. is a plus.
• At least 3 years of experience as a Data Scientist or similar role, preferably with experience in building anomaly detection models.
• Strong knowledge of machine learning and AI, particularly in building and deploying predictive modeling solutions.
• AI / ML experience with Big Data.
•  Proficiency in programming languages such as Python, along with familiarity with machine learning frameworks and libraries (e.g., TensorFlow, sci-kit-learn).
• Strong mathematical skills, including statistics, algebra, and probability theory.

Nice to Have:

·        Experience with big data tools such as Hadoop, Hive, or others. Experience with Clickhouse

·        Experience in building and optimizing algorithms for anomaly detection.

·        Experience in a cloud computing environment (AWS, GCP, Azure).

Join Us If you are passionate about leveraging data science to tackle complex challenges in IoT connectivity and drive meaningful impact, we want to hear from you! Join our dynamic team at FloLIVE and be at the forefront of innovation in the IoT industry. Together, we will shape the future of global connectivity.