Network Data Scientist

Cognyte; Maharashtra; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Cognyte in Maharashtra, India seeks an experienced analyst to examine encrypted network data, extract TLS and IP‑level metadata, and identify patterns in complex data streams. You will build analysis pipelines, validate detection methods with defined metrics, and deepen crypto domain expertise while contributing to a Blockchain analytics product.

The role requires strong knowledge of network protocols, packet capture analysis, data science basics, SCRUM teamwork, and fluent English to

Qualifications

• Bachelor's degree in Computer Science or Information Technology.
• Total 5+ years of experience in network data engineering or related roles.
• Hands-on leadership, guiding tasks and removing blockers.
• Experience with network traffic forensics or application traffic analysis.

Responsibilities

• Examine encrypted raw network data and extract TLS and IP-level metadata.
• Build analysis pipelines and validate detection methods with defined metrics.
• Demonstrate knowledge of network protocols and packet capture analysis.
• Develop a Blockchain analytics product in our crypto domain.

Skills

Network protocols

TLS/SSL knowledge

Packet capture analysis

Python scripting

SCRUM

English fluency

Data analysis / ML basics

Independent initiative

Education

Bachelor's degree – Computer Science / Information Technology

Tools

Wireshark

tshark

MongoDB

Jenkins

TeamCity

GitLab CI

CI/CD tooling

Job description

Today’s world is crime‑riddled. Criminals are everywhere, invisible, virtual and sophisticated. Traditional ways to prevent and investigate crime and terror are no longer enough…

Technology is changing incredibly fast. The criminals know it, and they are taking advantage. We know it too.

For nearly 30 years, the incredible minds at Cognyte around the world have worked closely together and put their expertise to work, to keep up with constantly evolving technological and criminal trends, and help make the world a safer place with leading investigative analytics software solutions.

We are defined by our dedication to doing good and this translates to business success, meaningful work friendships, a can‑do attitude, and deep curiosity.

As a Cognyter you will:

• We’re looking for an analyst to examine encrypted raw network data, extract TLS and IP‑level metadata, and identify patterns or trends within complex data streams.
• You’ll build analysis pipelines and ensure the accuracy of detection methods using well‑defined evaluation metrics.
• Candidates must demonstrate strong knowledge of network protocols, hands‑on experience with packet capture analysis, and solid data analysis or machine learning skills.
• You will gain crypto domain expertise and be responsible for developing a Blockchain analytics product.

Requirements:

For that mission you’ll need:

• Bachelor’s degree – Computer Science / Information technology
• Total 5 + Years experience.
• Having 2+ experience into Network Data Engineer / Network Engineer with knowledge of Data Science
• Hands‑on technical leadership experience, guiding task distribution, tracking progress, and resolving implementation blockers
• Experience/ Knowledge in network traffic forensics or application traffic analysis,
• Deep understanding of network protocols (IP, TCP, UDP, DNS, TLS, HTTPS, etc.)
• Familiarity with TLS internals
• Working with network traffic data to extract meaningful characteristics or patterns from packet streams
• Knowlege Wireshark/tshark, Network Sniffers and protocol dissectors
• Experience with Python or any other language for scripting and automation would be plus
• Attention to detail and a high standard of data handling
• Highly committed and responsible, independent and able to take initiative
• Flexible and easy to adapt working on multiple technical contexts
• Able to work in a dynamic environment
• Previous experience in a SCRUM team
• Fluent English

Nice to have:

• AI models knowledge
• Research‑level machine learning expertise
• Experience creating labeled datasets and synthetic capture generation
• Experience with NoSQL databases (e.g., MongoDB)
• Experience with CI/CD solutions (e.g., Jenkins, TeamCity, Gitlab CI)
• Understanding the SDLC – software Dev. lifecycle -> being part from designing to execution -> writing tests, executing, open bugs.