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Director, Data Scientist

  • Full Time, onsite
  • UBS AG - Investment Banking
  • On Site, United States of America
Salary undisclosed

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Director, Data Scientist

United States - New York

Quantitative Analysis

Job Reference # 306310BR

City New York

Job Type Full Time

Your role

Are you an innovative thinker? Are you focused on the details, even when under pressure? Do you enjoy delivering enhanced change capabilities across a range of business functions?

We're looking for a Director, Data Scientist to:

Work with stakeholders to identify opportunities to leverage data to address business problems and drive business results.
Mine and analyze data from various data sets to provide actionable insights.
Build and deploy machine learning and statistical methods to optimize the business process and help with targeted marketing and sales efforts.
Develop processes and tools to monitor and analyze model performance and data accuracy.
Produce relevant documentation related to model performance, model review, and model governance.
Drive and support data science efforts across different business areas.
Aid data collection and curation, exploratory data analysis, model training, and delivery.
Assist in different stages of model development.

Qualified Applicants apply through Please reference 001539. NO CALLS PLEASE. EOE/M/F/D/V. -DNI

Detailed salary information:
New York: the salary range for this role is $155,000 to $235,000.
The expected salary range(s) for this role as of the date of this posting is/are based on factors including, but not limited to, experience, qualifications, education, location and skill level. This role may also be eligible for discretionary incentive compensation. For benefits information, please visit .

Your Career Comeback

We are open to applications from career returners. Find out more about our program on .

Your team

Diversity helps us grow, together. That's why we are committed to fostering and advancing diversity, equity, and inclusion. It strengthens our business and brings value to our clients.

You'll be working in the GWM COO Americas team in New York, NY.

Your expertise

Education & Experience Requirement
This position requires a Master's degree or foreign equivalent in Finance and Accounting, Economics, or related field of study plus four (4) years of experience in the job offered or as a Data Scientist, Research and Analysis Associate, or related occupation.

Position requires experience with the following:
finance industry
data classification
data clustering
data optimization
Random Forest
PCA
XgBoost
natural language processing
deep neural network
Greenplum
Python
R
SQL
DB2
Dataiku
Hadoop
Tableau
manipulating data, developing models, and deriving insights from data
developing experimental and analytical plans for data modeling processes and A/B testing

About us

UBS is the world's largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors..

We have a presence in all major financial centers in more than 50 countries.

Join us

At UBS, we embrace flexible ways of working when the role permits. We offer different working arrangements like part-time, job-sharing and hybrid (office and home) working. Our purpose-led culture and global infrastructure help us connect, collaborate, and work together in agile ways to meet all our business needs.

From gaining new experiences in different roles to acquiring fresh knowledge and skills, we know that great work is never done alone. We know that it's our people, with their unique backgrounds, skills, experience levels and interests, who drive our ongoing success. Together we're more than ourselves. Ready to be part of and make an impact?
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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