Data Scientist

Job Description

At Micro Focus, everything we do is based on a simple idea: The fastest way to get results is to build on what you have. Our software solutions enable organizations to do just that. Secure and scalable, with analytics built in, they bridge the gap between existing and emerging IT fast-tracking digital transformations across DevOps, Hybrid IT, Security, and Predictive Analytics. In the race to innovate, Micro Focus customers have the clear advantage. Our portfolio spans the following areas: DevOps | IT Operations| Cloud | Security | Info Governance | Big Data, Machine Learning, Analytics

We are looking for experienced data scientists with strong advanced analytics and machine-learning models development experience to be part of the Micro Focus Security, Risk, and Governance Solutions (SRG) organizations. Data scientists will be working with a team of technical and Cybersecurity domain experts on the development of scalable, real-time, and big data analytics solutions to address the emerging challenges in the Cybersecurity industry. The ideal candidate will have a proven track record of solving large, complex big data challenges and developing machine-learning models for the Cybersecurity market. Responsibilities will include the analysis of the data to uncover high-quality Cybersecurity threat signals, and collaborate with the research and development team to productize the solutions to support broader go-to-market opportunities.

This position is responsible for the design, architecture, development, and implementation of emerging Security and Operations use cases, and collaborate with RD engineers to productize the same to support go-to-market initiatives.

Responsibilities

• Collaborate with a multi-disciplinary team of engineers and analysts on a wide range of cybersecurity problems.
• Bring analytical rigor and statistical methods to the challenges of measuring quality, improving security products, and understanding the behavior of end-users, computer systems, and network devices.
• Build innovative predictive analytics and data science solutions for a myriad of cybersecurity use cases.

• Think like an adversary.
• 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 mining results.

Education and Experience

• Bachelors or Masters 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
• Experience with NIFI
• Excellent communication skills

Knowledge and Skills

Must have:

• 2+ years of experience working directly with clients/customers on data-driven solutions. For example: researching, building, and deploying machine learning models.
• 2+ years of work experience using, building, or developing Extract-Transform-Load (ETL) technology. Preferably in the Hadoop ecosystem. 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 modeling, machine learning, and data mining algorithms to business problems.

High want:

• Experience in cybersecurity and networking technologies
• Experience big data analytics databases is a plus
• Knowledge of networking concepts and devices (Firewalls, Routers, Switches, and Load Balancers)
• Knowledge of network and related web protocols (such as TCP/IP, UDP, IPSEC, HTTP, HTTPS, DNS, SSH, routing protocols)
• Linux System knowledge as user and administrator
• Background in statistics

Keyskills :
commercialmodels bigdata machinelearning python dataanalytics datascience datacollection softwaresolutions dataanalysis workingexperience computerscience datamining deeplearning datavisualization bigdataanalytics analytics advancedanalytic