Data Scientist

Company Name: BlackDice Cyber
Location: Austrailia
Posted by:

Paul Hague

Paul Hague

Founder CEO at BlackDice Cyber

Data Engineers!

Are you an enthusiastic, talented data engineer with a passion for learning new skills and technologies and who wants to build world-class products? If you are enthusiastic about working on interesting and challenging projects and have a deep understanding of data science technologies this is the perfect role for you!

We're looking for an enthusiastic and capable mid-senior level engineer who thrives on new challenges to join us to help expand and maintain our range of cyber security products. You'll be working across all tiers of the solution, analysing threat feed data, device identification data, device fingerprinting data and network traffic flows, to create actionable insights across devices, networks and operators, globally.

We're looking for someone not just to write code, but truly to contribute to the development of our products.

The company

BlackDice is an emerging technology company focused on building products that help keep business and families safe online. We're small but ambitious, run by technology professionals, and looking to create a high- performing development team to expand our growing portfolio of services.

We're relaxed but focused; we work in an agile way and release software often, that affects the lives and security of our customers. 

We have offices in United kingdom and Islamabad. Applicants should be willing to work in one of these locations. This role is based in Islamabad

 

Responsibilities

• Analyze raw data: assessing quality, cleansing, structuring for downstream processing
• Design accurate and scalable prediction algorithms
• Collaborate with engineering team to bring analytical prototypes to production
• Generate actionable insights for threat mitigation
• using the latest Deep Learning techniques to build the worlds most advanced system to detects threats in real-time

Qualifications

• Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
• At least 1 - 2 years' of experience in quantitative analytics or data modeling
• Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
• Fluency in a programming language (Python, Go, Go-prose and prodigy, Tensorflow )
• Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)

• Seniority level

  Mid-Senior level

• Employment type

  Full-time

• Job function

  EngineeringInformation Technology

• Industries

  Computer & Network Security