Arctic Wolf Networks Hiring Drive 2024: Arctic Wolf Networks Hiring Drive 2024 for its Data Scientist. Arctic Wolf Networks Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a graduate. if you are interested, please apply as soon as possible.
Company Name: Arctic Wolf Networks
Role: Data Scientist
Location: Bengaluru
Experience: 0 – 2 years
Qualification: Graduate
Batch: Any
Job Type: Full Time
Salary: Best in Industry
Arctic Wolf Networks Hiring Drive 2024
Job Description:
- Proven track record in the research, data science and engineering around building and shipping machine learning or statistical models that scale to high volumes of data (billions of data points)
- Proficiency with Python and SQL
- Experience using key ML libraries including scikit-learn, tensorflow , pytorch , sparkml
- Experience with data fusion and data cleansing techniques for creating labelled data sets
- Experience with developing synthetic data sets using generative and statistical modelling techniques
- Understanding of classical ML and DNN modelling techniques for supervised and unsupervised learning and sequence modelling.
- Understanding of 3 of either PGMs, RL, GNN, statistical modelling, or time series modelling
- Understanding of ensembles and multi modal machine learning techniques to solve complex problems
- Familiarity of large-scale distributed systems and related technologies such as Spark, Elasticsearch, Kubernetes, etc. is a plus
- Familiarity with cloud platforms (we use AWS here) and automation technologies (e.g., Kubernetes, Jenkins, Chef, etc.) is a plus
- Familiarity with the information/cyber security domain is a plus
Requirements:
- Conducts duties and responsibilities in accordance with AW s Information Security policies, standards, processes, and controls to protect the confidentiality, integrity, and availability of AW business information assets.
- Must pass a criminal background check and an employment verification as a condition of employment.
Responsibility:
- Analyze and correlate complex data from multiple sources
- Perform exploratory data analysis to gain deeper understanding of the data
- Work with stakeholders, including domain experts and product, to understand use cases and domain-specific problems and identify opportunities for applying machine learning to drive outcomes
- Develop tools and algorithms for generating synthetic data sets
- Define KPIs to measure model performance
- Develop and test statistical and machine learning models for efficacy and operational impact
- Write production quality code and work with other software engineering teams to deploy models into production
- Support deployed models as a subject matter expert
- Be creative and engineer novel features and methods to push beyond our current capabilities
Skills:
- data cleansing
- Data analysis
- Automation
- Business analytics
- Information security
- Machine learning
- Security operations
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