Job Summary
Job Summary : Are you are a data scientist looking for a role where you can have broad-reaching positive impact and are enthusiastic about applying your analytics skillset to broad range of problems in risk, security, authentication, and cloud? How will you fulfill your potential? • Responsible for expanding the team’s analytic capabilities by building advanced statistical models, including machine learning algorithms • Responsible for all aspects of the data analytics lifecycle such as data ingestion, cleanup, model building, training, and evaluation • Responsible for summarization and concise presentation of quantified risk posture to management using open source visualization techniques, tools, and libraries • Responsible for working with various enterprise data sources and inventories for acquiring any enrichment data set and/or providing the enrichment that will help with the required risk modeling • Design, develop, test, and deliver complex analytics in a range of programming environments on large data sets Basic Qualifications • Strong verbal and written communication skills in English • Ability to multi-task and effectively prioritize work • Highly motivated self-starter who can provide thought leadership in data science • Responsive to challenging tasks • Ability to document and explain technical details in a concise and understandable manner • Strong sense of ownership and driven to manage tasks to completion • 4-6 years of relevant work experience in projects involving big scale data analytics and machine learning • Proven knowledge of industry leading data analysis tools such as Python, R and SQL – Are these still accurate? Are these the latest ones that Yigit team or the firm is using? • Experience in industry standard notebook technologies • Knowledge of data analytics stack in cloud, preferably AWS • Experience in data visualization using open source libraries (such as dash / plotly / ggplot2 and etc.) Preferred Qualifications • Bachelors in Computer Science, or any other Engineering Discipline or Mathematics. • Interest in Cyber-Security, or Information Security or Risk Management is preferred • Strong mathematical background (linear algebra, probability, and statistics) Excellent oral, written, and presentation communication skills
Key Responsibilities
Job Responsibilities : How will you fulfill your potential? • Responsible for expanding the team’s analytic capabilities by building advanced statistical models, including machine learning algorithms • Responsible for all aspects of the data analytics lifecycle such as data ingestion, cleanup, model building, training, and evaluation • Responsible for summarization and concise presentation of quantified risk posture to management using open source visualization techniques, tools, and libraries • Responsible for working with various enterprise data sources and inventories for acquiring any enrichment data set and/or providing the enrichment that will help with the required risk modeling • Design, develop, test, and deliver complex analytics in a range of programming environments on large data sets
Skill Requirements
Skill Requirement : How will you fulfill your potential? • Responsible for expanding the team’s analytic capabilities by building advanced statistical models, including machine learning algorithms • Responsible for all aspects of the data analytics lifecycle such as data ingestion, cleanup, model building, training, and evaluation • Responsible for summarization and concise presentation of quantified risk posture to management using open source visualization techniques, tools, and libraries • Responsible for working with various enterprise data sources and inventories for acquiring any enrichment data set and/or providing the enrichment that will help with the required risk modeling • Design, develop, test, and deliver complex analytics in a range of programming environments on large data sets
Other Requirements
Other Requirement : How will you fulfill your potential? • Responsible for expanding the team’s analytic capabilities by building advanced statistical models, including machine learning algorithms • Responsible for all aspects of the data analytics lifecycle such as data ingestion, cleanup, model building, training, and evaluation • Responsible for summarization and concise presentation of quantified risk posture to management using open source visualization techniques, tools, and libraries • Responsible for working with various enterprise data sources and inventories for acquiring any enrichment data set and/or providing the enrichment that will help with the required risk modeling • Design, develop, test, and deliver complex analytics in a range of programming environments on large data sets