Data Scientist
Bangalore
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:
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 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