Lead Data Specialist

United States

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$160,000 – $176,000Compensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Cybersecurity, Data & Analytics, Insurance TechnologyIndustries

Requirements

Candidates should have 5+ years of experience in building large-scale data collection systems, a deep understanding of internet infrastructure and technologies like DNS, CDN, ASN, ISP, and CSP, and proficiency in SQL and Python. Strong fundamentals in data structures, algorithms, and Python paradigms, including OOP and functional programming, are required, along with familiarity with data collection and analysis modules like Pandas, NumPy, and Scikit-learn. Experience with AWS technologies for computation, orchestration, and storage, as well as designing, deploying, and maintaining microservice applications, is necessary. Excellent communication skills, experience leading project teams, and the ability to thrive in a remote, fast-paced, agile startup environment are also essential.

Responsibilities

The Lead Data Specialist will own the strategy for the Data Collection function, develop and test new collection initiatives, and manage the entire third-party data lifecycle, including sourcing, contracting, negotiation, and account management. This role involves engaging in cross-functional collaboration with engineering, product management, cyber risk modeling, actuarial science, economics, and client success teams to meet project and product goals. Key duties include managing a team of data specialists, maintaining and updating existing data collection systems, performing code reviews, developing technical documentation, and delivering high-quality data analysis.

Skills

Data Collection

Data Strategy

Data Analysis

System Design

Automation

R&D

Scalable Systems

Data Engineering

CyberCube

Cyber risk analytics platform for insurers

About CyberCube

CyberCube provides an analytics platform that helps insurance companies quantify and manage cyber risk. The platform uses cloud-based technology to offer solutions for insurance placement, underwriting decisions, and portfolio management. Clients gain access to curated datasets, models, and signals that are integrated into their existing workflows, enabling them to make informed decisions about their cyber risk exposure. What sets CyberCube apart from competitors is its team of experts in data science, cyber security, and insurance, who provide consulting and support to clients. The goal of CyberCube is to empower insurance companies with the knowledge and tools needed to effectively manage cyber risk.

San Francisco, CaliforniaHeadquarters

2015Year Founded

$102.1MTotal Funding

LATE_VCCompany Stage

Data & Analytics, Cybersecurity, Financial ServicesIndustries

51-200Employees