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Data Scientist with Cybersecurity Job in @ Kpr sugar apperals

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 Data Scientist with Cybersecurity Job in

Job Description

    Job Description 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: Bachelors or masters 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. Requirements Education & Experience: Bachelor's degree in IT, Computer Science, Networking, or a related field (preferred). 1-3 years of experience in customer support, technical support, or network troubleshooting Technical Knowledge: Strong understanding of networking concepts (TCP/IP, VLANs, Firewalls, DNS, DHCP, NAT). Basic knowledge of cybersecurity principles (threat detection, VPNs, firewall configurations). Experience with troubleshooting routers, switches, and firewall issues. Familiarity with CRM tools (Zoho CRM, Salesforce, Freshdesk, etc.). Hands-on experience with remote support tools (AnyDesk, TeamViewer, etc.). Communication & Problem-Solving: Excellent verbal and written communication skills in English. Ability to handle multiple queries effectively and prioritize tasks. Strong problem-solving skills with a customer-first approach.,

Employement Category:

Employement Type: Full time
Industry: IT Services & Consulting
Role Category: Not Specified
Functional Area: Not Specified
Role/Responsibilies: Data Scientist with Cybersecurity Job in

Contact Details:

Company: BhaiFi - Reimagining
Location(s): Other Haryana

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Keyskills:   Python R Machine Learning Data Analysis Data Visualization Statistics Time Series Analysis Anomaly Detection Network Analysis Statistical Analysis SQL Git Data Privacy Docker Kubernetes Project Management Agile Methodologies TensorFlow PyTorch

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