Sr Advanced Analytics Analyst - Data Scientist

Description

At Bank of the West, our people are having a positive impact on the world. We’re investing where we feel we can make the most impact, like advancing diversity and women entrepreneurship programs, financing for more small businesses, and promoting programs for sustainable energy. From our locations across the U.S., Bank of the West is taking action to help protect the planet, improve people’s lives, and strengthen communities. We are part of BNP Paribas, a global leader supporting the UN Sustainable Development Goals (SDGs). Yes, we’re a bank, but as the bank for a changing world, we are continually seeking to improve the ways we help our customers, while contributing to more sustainable and equitable growth.

Job Description Summary

Bank of the West is looking to fill the full-time position of an Advanced Analytics data scientist. This position covers all business units which Bank of the West operates.

The data scientist is a role in the Advanced Analytics Department and reports to the Head of Advanced Analytics. They will play a pivotal role in planning, executing and delivering machine learning-based projects. The data scientist is responsible for modeling complex business problems and discovering business insights through the use of statistical, algorithmic, mining, and visualization techniques The bulk of the work will be in machine learning (ML) modelling, data exploration and preparation, and operationalization of business and customer insights.

The newly hired data scientist will be a key interface between the Advanced Analytics department and Enterprise Data and Analytics Capability squads and business unit subject matter experts. Candidates need to be very much self-driven, curious and creative. As Bank of the West is still building up its data analytics practice, the role must assist data engineer and DevOps engineer at times in data exploration and preparation.

• Apply statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed Stochastic Neighbor Embedding (t-SNE), principal components analysis (PCA)

• Establish best practices around machine learning (ML) production infrastructure

• Collaborate with ML operations (ML Operations), data engineers, and IT to evaluate and implement ML deployment options

• Prioritize, scope and manage data science projects and the corresponding key performance indicators (KPIs) for success

• Understand new data sources and process pipelines, and catalog/document them

• Acquire access to various databases, and other source systems such as SQL or graph database.

• Generate hypotheses about the underlying mechanics of the business process

• Test hypotheses using various quantitative methods

• Display drive and curiosity to understand the business process to its core

• Network with domain experts to better understand the business mechanics that generated the data

• Apply various ML and advanced analytics techniques to perform classification or prediction tasks

• Integrate domain knowledge into the ML solution; for example, from an understanding of financial risk, customer journey, quality prediction, sales, marketing

• Testing of ML models, such as cross-validation, A/B testing, bias and fairness

• (Help to) integrate model performance management tools into the current business infrastructure

• (Help to) implement champion/challenger test (A/B tests) on production systems

• Continuously monitor execution and health of production ML models

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Qualifications

Required Experience

• Candidates need to demonstrate that they were instrumental in launching significant data science projects.

• Candidates should exhibit significant project experience in applying ML and data science to business functions such as customer journey analytics, marketing analytics, customer propensity models, target marketing, churn management, etc.

• Experience using statistics and machine learning to solve complex business problems

• Experience conducting statistical analysis with advanced statistical software, scripting languages, and packages

• Experience with big data analysis tools and techniques

• Experience building and deploying predictive models, web scraping, and scalable data pipelines

• Requires 7 years minimum prior relevant experience.

Education

• A bachelor’s or master’s degree in computer science, data science, operations research, statistics, applied mathematics, or a related quantitative field [or equivalent work experience such as, economics, engineering and physics] is [preferred/required]. Alternate experience and education in equivalent areas such as economics, engineering or physics, is acceptable. Experience in more than one area is strongly preferred.

Skills

• Coding knowledge and experience in several languages: for example, R, Python/Jupyter, SAS, Excel, and SPSS

• Experience with popular database programming languages including SQL, PL/SQL, others for relational databases and upcoming non-relational databases such as NoSQL/Hadoop-oriented databases.

• Up-to-date knowledge of machine learning and data analytics tools and techniques

• Strong knowledge in predictive modeling methodology

• Experienced at leveraging both structured and unstructured data sources

• Willingness and ability to learn new technologies on the job

• Demonstrated ability to communicate complex results to technical and non-technical audiences

• Demonstrated ability to work with minimal supervision

Equal Employment Opportunity Policy

Bank of the West is an Equal Opportunity employer and proud to provide equal employment opportunity to all job seekers without regard to any status protected by applicable law. Bank of the West is also an Affirmative Action employer - Minority / Female / Disabled / Veteran.

Bank of the West will consider for employment qualified applicants with criminal histories pursuant to the San Francisco Fair Chance Ordinance subject to the requirements of all state and federal laws and regulations.

Job: Operations

Location: United States-California-San Ramon

Requisition ID: 054906