Data Scientist

at  Robertson and Company

Our client is a top financial institution with significant North American holdings. They have operations across most major verticals, including institutional & corporate, wealth management, private client, commercial banking, treasury, and retail banking.
Introduction: Robertson is seeking a skilled Data Scientist to join our client.
Contract Dates: 12 months with potential to extend or convert
Pay Range: $84.61 to $96.39 per hour
Business Hours: Monday to Friday (Hybrid)

Job Responsibilities:

• Expertise in Analyzing best scenarios for security alerts in SIEM Platform
• Manage relationships with other technology/business/corporate/control functions
• Identify valuable data sources and automate collection processes
• Undertake preprocessing of structured and unstructured data
• Analyze large amounts of information to discover trends and patterns
• Build predictive models and machine-learning algorithms
• Combine models through ensemble modeling
• Present information using data visualization techniques
• Propose solutions and strategies to business challenges
• Collaborate with engineering and product development teams

Experience & Qualification Requirements:

• Proven experience as a Data Scientist or Data Analyst
• Experience in data mining.
• Understanding of machine-learning and operations research
• Knowledge of R, SQL, and Python
• Experience using business intelligence tools (e.g. Tableau, Power BI) and data frameworks (e.g. Hadoop)
• Excellent communication and presentation skills

Personal Attributes:

• Communication Skills: Essential for managing relationships with various stakeholders and effectively presenting information through data visualization techniques
• Collaboration: Important for working with engineering and product development teams, ensuring that ideas and solutions are aligned across functions
• Critical Thinking: Necessary for analyzing data, discovering trends, and proposing solutions to business challenges, enabling informed decision-making

• Expertise in Analyzing best scenarios for security alerts in SIEM Platform
• Manage relationships with other technology/business/corporate/control functions
• Identify valuable data sources and automate collection processes
• Undertake preprocessing of structured and unstructured data
• Analyze large amounts of information to discover trends and patterns
• Build predictive models and machine-learning algorithms
• Combine models through ensemble modeling
• Present information using data visualization techniques
• Propose solutions and strategies to business challenges
• Collaborate with engineering and product development team