Data Scientist with Cybersecurity

Job Description

JobDescription : The DataScientist Lead will spearhead our network security machine learning project,combining technical expertise with project management skills. This roleinvolves designing and implementing ML models, performing data analysis, andguiding the overall strategy of the project. The ideal candidate will have astrong background in statistics, machine learning, and data visualization, withthe ability to communicate complex ideas to the team and guide them. KeyResponsibilities: 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 RequiredSkills: Bachelor\u2019s or master\u2019s 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 \u2013 Access to mental health support, meditation sessions, and ergonomic workspaces to ensure a healthy and productive work environment, Team Lunches & Celebrations \u2013 Regular team lunches, parties, and win celebrations to foster a collaborative and fun work culture.