Data Scientist

Job Description

We are looking for experienced data scientists with strong advanced analysis and machine learning model development experience. Data scientists will be working with a team of technical experts on the development of a scalable, real- time, big data analytics solutions with data visualizations leveraging the latest technologies. The ideal candidate will have a proven track record of solving large, complex big data challenges and developing machine learning models to address emerging cybersecurity requirements. Responsibilities will include the analysis of the data to uncover useful and valuable information and finally supporting the engineering team to build the results into the end product. You will be working with an experienced team of data scientists and technical experts, and be part of the Security, Risk, and Governance (SR&G) solutions Centers of Excellence (COE). This position is responsible for the design, architecture, development, and implementation of emerging Security and Operations use cases, and partner with R&D engineers to productize the same to support go- to- market initiatives. Responsibilities and Duties : Collaborate with a multi- disciplinary team of engineers and analysts on a wide range of cybersecurity problems. Bring analytical rigour and statistical methods to the challenges of measuring quality, improving security products, and understanding the behaviour of end- users, computer systems, and network devices. Build innovative predictive analytics and data science solutions for a myriad of cybersecurity problems. Multi- task and work independently Identify and articulate risks and remediation in a relevant and approachable manner with both technical and non- technical audiences. Identifies data sources, collects, transforms and prepares large amounts of data for analysis. May also develop tools to help the data collection process as needed. Uses appropriate methods, tools, and algorithms to analyze the data and create an implementation plan from the business problem. Validates the results of the data analysis to avoid errors. Interprets results and identifies value form the analysis to help solve the business problems. Works with the business or customer and provides guidance on risks and limitations. Monitors and continuously improves the data sources, usability and data. Required Experience, Skills and Qualifications : Education and Experience Bachelor s or Master s degree in Computer Science, Statistics or similar quantitative field 3- 5 years of working experience in machine learning and data science projects; 2- 3 years of experience in working with large scale production data sets Good understanding of the foundations of machine learning methods Exceptional coding skills in SQL, and Python or R Excellent communication skills Knowledge and Skills : Experience with deep learning methods, models and frameworks Familiarity with multiple programming and scripting languages (such as Java, Javascript, C/ C++, Perl, etc. ) Familiarity with data visualization tools Experience with passive and active measurement techniques Experience with applying statistical modelling, machine learning and data mining algorithms to business problems. A profound understanding of big data systems Linux System knowledge as user and administrator Experience with Vertica or other column store databases is a plus Experience in cybersecurity, network data Knowledge of networking concepts and devices (Firewalls, Routers, Switches, Knowledge of network and web related protocols (such as TCP/ IP, UDP, IPSEC). ,

Keyskills :
machinelearning python dataanalysis sql analytics bigdataanalytics bigdata usecases datamining datascience deeplearning dataanalytics datacollection computerscience modeldevelopment atavisualizat