Lead Data Scientist - Technology

at  City National Bank

SKILLS AND KNOWLEDGE

• Advance experience in machine learning techniques and algorithms
• Advance experience with common data science toolkits and visualization tools
• Advance statistics skills, such as distributions, statistical testing, regression, etc.
• Advance initiative, organization and time management skills
• Advance analytical and problem solving skills
• Proficient verbal and written communication skills
• Proficient interpersonal relations skills, ability to effectively collaborate with others and work as part of a team
• Ability work with high degree of independence, researches and resolves questions and problems, requests manager input and keeps manager informed
• Demonstrated ability to manage multiple tasks and meet deadlines
• Lead multiple tasks and projects; lead and guide stakeholders to solve new problems
• Lead key initiatives on data mining and machine learning
• Provide input to team resources, processes and technology roadmaps
• Guide and mentor team members to leverage and apply data mining, data science methodologies

COMPENSATION

Starting base salary: $111,408 - $189,738 per year. Exact compensation may vary based on skills, experience, and location. This job is eligible for bonus and/or commissions.

• To be considered for this position you must meet at least these basic qualifications

The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.

WHAT YOU WILL DO

• Leads and directs data analysis and data mining techniques by acquiring, process, cleanse, integrate, explore and investigate data sets by using algorithms and potential models.
• Leads and applies data science techniques, such as machine learning, statistical modeling and artificial intelligence working closely with senior team members.
• Measures and improves results and present final results to stakeholders. Make adjustments based on feedback and repeat processes to solve for new problems.
• Documents the analytic and data science work products
• Accurately define and execute transformations, aggregations and other data manipulations to meet requirements
• Develop standards, templates and procedures for the department
• Manage team execution of large programs & projects of significant complexity and risk
• Maintain an enterprise cyber level view across department data landscape
• Conduct on-going analysis and make recommended improvement of the development process and practices
• Leverage knowledge and skill with a variety of query tools, analytic techniques, tools, platforms, to analyze large quantities of data, from multiple sources, to design, create, and maintain, dashboards, business plans, forecasts, projections and presentations, models, algorithms, and statistical and financial analyses.

The needs of the roles includes

• team player and independent problem solver
• ability to collaborate and articulate technical requirements for senior managemen