Data Scientist

About iVerify

We are Experts in Mobile Threat Hunting. The first mobile threat hunting company to protect mobile devices like any other vulnerable corporate endpoint.

The mobile security market has a problem. Simply put, current solutions fail to meet the sophistication of modern threats or the growing privacy desires of mobile device users. We believe that it is time for something new. Not only because we care deeply about the safety of frontline users like journalists and activists - many of whom are doing important and often dangerous work - but because enterprises and consumers deserve real protection from advanced mobile threats without sacrificing privacy.

We are building the first mobile threat hunting company to harmonize security and privacy in the face of a new class of mobile threats. Supported by some of the most well-respected VC firms, we aim to become the go-to mobile security solution for individuals who want to know they can trust their devices with their most sensitive information – without sacrificing privacy.

About the Role

As the first Data Scientist at iVerify you will dive into vast datasets, utilizing advanced analytical techniques to identify patterns, trends, and anomalies. Your expertise will drive data-driven recommendations, while your knack for anomaly detection will be pivotal in designing and implementing alert systems. Bridging the gap between engineering and research, you'll collaborate closely to understand project visions and translate them into actionable insights. This role will prototype and build cutting-edge analytical systems to empower our threat hunting endeavors and deliver critical data solutions to our clients.

Responsibilities

• Collaborate with our security researchers and developers to build secure and scalable data querying, aggregation and visualizations
• Optimize the performance of our data platform and pipeline to ensure it scales with cost considerations
• Analyze large, complex datasets of mobile telemetry data to identify patterns, trends, and anomalies
• Develop, implement, and optimize machine learning models and algorithms to detect anomalies in mobile telemetry data while continuously improving the accuracy and efficiency of these algorithms through rigorous testing and validation
• Design and implement systems to automatically detect and alert on anomalies within the telemetry data
• Create and maintain dashboards and reports to communicate findings and track the performance of deployed models
• Aggregate, shape, normalize or manipulate data in order to validate proof of concepts

Requirements

• 4+ years of experience of working with large data sets to build anomaly detections capabilities using a combination of supervised, unsupervised, and federated machine learning systems, as well as other statistical techniques
• Experience in the cybersecurity, intelligence, or national defense sectors
• Strong Python knowledge and skills
• Proven experience (4+ years) as a Data Scientist, preferably with a focus on telemetry data or similar domains.
• Experience with big data technologies such as Hadoop, Spark, or similar frameworks
• Very good understanding of Relational Databases such as SQL and NoSQL
• Proficiency in data visualization tools such as Tableau, Power BI, or similar.
• Strong problem-solving skills and the ability to think critically and creatively.

Nice-to-have

• Advanced degree (Master’s or PhD) in Data Science, Statistics, Computer Science, or a related field
• Experience using both supervised and unsupervised machine learning techniques.
• AWS Infrastructure experience
• Neo4J or other graphDB experience
• 2+ years of experience of building data platforms from scratch
• Strong proficiency in statistical analysis and machine learning techniques
• Experience in mentoring or leading a team of data scientists

The estimated full-time base salary for this role is between $150,000-$180,000 See below for more details.

Compensation

Our salary ranges are determined by role, level, location, and employment type. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position. Within the range, individual pay is determined by a variety of factors, including, but not limited to, work location, job-related skills, experience, and relevant education or training.

Diversity, Equity, and Inclusion

At iVerify, we are committed to building a diverse, equitable, and inclusive workplace and community. We believe that diversity in all its forms drives innovation and fosters creativity. We strive to create an environment where everyone feels valued, respected, and empowered to bring their authentic selves to work.