Build and lead multiple teams of data scientists, providing technical oversight and mentorship on modeling and analytical projects in areas like detecting trends and patterns in customer behavior, optimizing digital marketing and servicing initiatives, and developing real-time models for personalization.
Partner with diverse stakeholders, including product management, risk management, engineering, and business verticals; provide thought leadership within and outside of the team; contribute to the product roadmap for key data platforms; and drive innovation across the company in the use of digital data.
The Ideal candidate will be:
An innovative leader. You stay current on emerging technologies, challenge conventional thinking, and work with partners and stakeholders to improve the status quo and drive towards impactful business outcomes
Curious and creative. You thrive on bringing definition to big, undefined problems. You love asking questions, and you love pushing hard to find the answers. You re not afraid to share a new idea. You communicate clearly and effectively to share your findings with non-technical audiences.
Technical: You have hands-on experience developing data science solutions from concept to production using open source tools and modern cloud computing platforms. You are not afraid of petabytes of data.
Statistically-minded. You have built models, validated them and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series analysis and deep learning.
Customer and product oriented. You share our passion for changing banking for good.
Basic Qualifications:
- Bachelor s Degree plus 8 years of experience in data analytics, or Master s Degree plus 6 years of experience in data analytics, or PhD plus 4 years of experience in data analytics
-At least 3 years coding experience with open source programming languages such as Python, R or Scala
-At least 3 years experience developing commercial data science solutions leveraging one or more of the following: operations research, natural language processing, machine learning, deep learning, video/image analysis, or time-series analysis.
-At least 2 years experience managing high-functioning data science/data engineering teams
Preferred Qualifications:
-Master s Degree or Ph.D. in a STEM Major (Science, Technology, Engineering, or Math)
-At least 1 year experience working with AWS, Azure, or similar cloud platform
-At least 5 years experience developing commercial solutions in Python, Scala, or R
-At least 5 years experience developing commercial data science solutions leveraging one or more of the following: operations research, natural language processing, machine learning, deep learning, video/image analysis, or time-series analysis.
-At least 3 years of experience mentoring junior data scientists and providing technical governance and oversight


Associated topics: data administrator, data analyst, data analytic, data architect, data center, data engineer, data scientist, database, erp, mongo database

* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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