What you will do

• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Define approaches for data mining
• Extending company’s data with third party sources of information when needed
• Doing ad-hoc analysis and R&D involving operating heterogeneous data sets
• Creating automated anomaly detection systems and constant tracking of its performance

Must haves

• PhD in Data Science, Computer Science, Statistics or other related fields
• Real world experience of solving business problems using machine learning, data mining, data analysis
• Data-oriented personality
• Excellent understanding of machine learning techniques and algorithms
• Experience with common data science toolkits (such as R, Weka, NumPy, MatLab, etc.)
• Great communication skills
• Experience with data visualization tools

Nice to haves

• Collect Cyber Security Data, apply statistics, machine learning, big data and graph analysis techniques to address a variety of security problems including correlation between threats, anomalous behavior, prioritization of threats
• Participate in the machine learning lifecycle including designing high quality AI/ML infrastructure and big data pipelines, writing production code, conducting code reviews
• Evaluate latest software packages, open-source libraries, development environments etc
• Develop and build test frameworks, test cases, reproducible experiments, and evaluation of various models for automated production deployment
• Deploy models to cloud, support monitoring and framework for automation in cloud
• Provide production support, environment support, troubleshooting and user suppor
• Collaborate with Cyber & Information security stakeholders to get feedback/guidance on various solutions
• Gain knowledge of cybersecurity testing methodologies (phishing, intrusion detection, vulnerability scanning, remote penetration testing, red/blue teams)
• Get familiar with common tools & processes used in Cyber and Information security
• Experience with open-source ML tools/frameworks
• Experience with Libraries Pytorch and TensorFlow
• Experience working in AWS environment
• Experience operationalizing/scaling models in AWS environment
• Experience in programming languages such as Python, SQL
• Experience in working with datastores such as S3, RDS in AWS environment
• Cyber Security knowledge is a huge plus

The benefits of joining us

• Professional growth: accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps
• Competitive compensation: we match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities
• A selection of exciting projects: join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands
• Flextime: tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

Job Type: Full-time

Experience level:

• 4 years

Work Location: Remote

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