Data Scientist with Cybersecurity

1 week ago

Gurgaon, Haryana, India BhaiFi Full time

BhaiFi was founded in 2017 and is on a mission to democratize cybersecurity by making AI-First, enterprise-grade security solutions accessible and easy to use for businesses of all sizes—even for non-technical users. We have two products, BhaiFi – Ai-Powered Guest WiFi and flagship product, FirewallX, is an AI-First hybrid firewall that blends the best of on-prem and cloud-based security, designed for businesses with lean IT teams with zero complexity.

Job Description: The Data Scientist Lead will spearhead our network security machine learning project, combining technical expertise with project management skills. This role involves designing and implementing ML models, performing data analysis, and guiding the overall strategy of the project. The ideal candidate will have a strong background in statistics, machine learning, and data visualization, with the ability to communicate complex ideas to the team and guide them.

Key Responsibilities:

  • Lead the development and implementation of machine learning models for network security applications
  • Oversee data analysis processes and create advanced visualizations to communicate insights
  • Guide model selection, training, and validation procedures
  • Develop algorithms for real-time forecasting and predictions
  • Manage project timelines, resources, and deliverables
  • Collaborate with and mentor the Data Engineer and ML/LLM Developer
  • Communicate project progress and results to stakeholders


Requirements

Required Skills:

  • Bachelor's or master's degree in computer science, Software Engineering, or advanced degree in Computer Science, Statistics, or related field
  • 5-7 years of experience in data science, with at least 2 years in a leadership role
  • Experience in network security or cybersecurity
  • Knowledge of time series analysis and anomaly detection techniques
  • Familiarity with graph analytics and network analysis
  • Expertise in Python and R for data analysis and modelling
  • Proficiency in machine learning libraries (scikit-learn, TensorFlow, PyTorch)
  • Strong knowledge of statistical analysis and probability theory
  • Experience with big data technologies (Hadoop ecosystem, Spark)
  • Proficiency in SQL and NoSQL databases
  • Strong data visualization skills (Matplotlib, Seaborn, Plotly, Tableau)
  • Experience with version control systems (Git)
  • Knowledge of data privacy and security best practices
  • Experience with deep learning models for sequence data
  • Understanding of DevOps practices and CI/CD pipelines
  • Familiarity with containerization technologies (Docker, Kubernetes)
  • Project management experience (Agile methodologies preferred)


Benefits

Our benefits include


Health Insurance, Performance-Based Bonuses (For Specific Roles), Hybrid flexibility for better work-life balance, Wellness Programs – Access to mental health support, meditation sessions, and ergonomic workspaces to ensure a healthy and productive work environment, Team Lunches & Celebrations – Regular team lunches, parties, and win celebrations to foster a collaborative and fun work culture. 

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