Senior Data Scientist

floLIVE is rewriting the playbook for the global IoT Connectivity landscape. Our groundbreaking Connectivity Management Service is reshaping the way Enterprises, Cloud providers, IoT service providers, and Mobile Operators connect and manage their devices across the globe.

Our global presence includes the United Kingdom, United States, Israel, Bulgaria, and China, solidifying our commitment to local, secure, and compliant connectivity solutions. With our innovative software-defined connectivity technology, FloLIVE delivers seamless connectivity management across boundaries.

Become part of the IoT revolution as we redefine what's possible.

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.

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 in a 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).

Job Type: Full-time