Senior Data Science & Automation Analyst

City National Bank-posted 3 months ago
$87,000 - $148,000/Yr
Full-time • Senior
Los Angeles, CA
5,001-10,000 employees
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The Senior Data Scientist works closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals. The Senior Data Scientist will lead and perform the design data analytic and data science processes, create algorithms and predictive models to extract the data the business needs, and help analyze the data and share insights with peers.

  • Conducts and leads data analysis and data mining techniques by acquiring, processing, cleansing, integrating, exploring and investigating data sets using algorithms and potential models.
  • 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.
  • Conduct peer and team review sessions.
  • Assist in the creation of standards, templates and procedures for the department.
  • Contribute to the design of the data structure/data model and data flow.
  • Leverage knowledge and skill with a variety of query tools (e.g. SQL, R, Python), 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.
  • Bachelor's Degree or equivalent.
  • Minimum 12 years Advanced Java, R, SQL, Python coding.
  • Minimum 6+ years statistical Analysis, Machine Learning, Computer Science, Programming, Data Storytelling.
  • Minimum 6+ years big Data technologies such as Spark, AWS, Hadoop including traditional RDBMS such as Oracle and SQL Server.
  • Minimum 6+ years of data mining (preferably in a data-intensive financial company).
  • Proficient experience in machine learning techniques and algorithms.
  • Proficient experience with common data science toolkits and visualization tools.
  • Proficient statistics skills, such as distributions, statistical testing, regression, etc.
  • Proficient initiative, organization and time management skills.
  • Proficient 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 to 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.
  • Comprehensive healthcare coverage, including Medical, Dental and Vision plans, available the first of the month following start date.
  • Generous 401(k) company matching contribution.
  • Career Development through Tuition Reimbursement and other internal upskilling and training resources.
  • Valued Time Away benefits including vacation, sick and volunteer time.
  • Specialized health and family planning benefits including fertility benefits, and cancer, diabetes and musculoskeletal support programs.
  • Career Mobility support from a dedicated recruitment team.
  • Colleague Resource Groups to support networking and community engagement.
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