Mgr Data Science - New York, United States - Webster Bank
Description
If you're looking for a meaningful career, you'll find it here at Webster.Founded in 1935, our focus has always been to put people firstdoing whatever we can to help individuals, families, businesses and our colleagues achieve their financial goals.
As a leading commercial bank, we remain passionate about serving our clients and supporting our communities.Integrity, Collaboration, Accountability, Agility, Respect, Excellence are Webster's values, these set us apart as a bank and as an employer.
Come join our team where you can expand your career potential, benefit from our robust development opportunities, and enjoy meaningful workJob Summary:
Responsibilities:
Work with other data scientists and stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
Mine, reconcile and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
Skills/Education:
2-4 years of data science experience preferred.
Strong problem-solving skills with an emphasis on product development.
Experience using computer languages (Python, SQL) to manipulate data and draw insights from large data sets, including cloud-based Snowflake, AWS SageMaker, Azure AI Services and MS Power Apps
Knowledge of machine learning techniques (clustering, decision trees, neural networks, graph ML, OCR, sentiment analysis, etc.) and their real-world advantages/drawbacks.
A motivated self-starter and knowledge seeker.
Financial companies experience and advanced degree Bachelors/Master's degree are preferred (Statistics, Mathematics, Computer Science).
Outstanding communication skills both written and verbal.
The estimated salary range for this position is $125,000USD to $135,000USD. Actual salary may vary up or down depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position is eligible for incentive compensation.
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All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
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