Senior Manager, Data Scientist

Posted 5 Hours Ago
Be an Early Applicant
New York Settlement, ND
94K-152K Annually
Senior level
AdTech • Marketing Tech
The Role
The Senior Manager, Data Scientist will work on anti-money laundering analytics for a financial services client, designing transaction monitoring models and employing techniques such as clustering and machine learning. Responsibilities include executing model performance monitoring, reducing false positives, and supporting model validation. The role requires strong analytical skills and significant experience in data science, particularly within the banking domain.
Summary Generated by Built In

Job Description:

This role is remote-friendly.

Responsibilities for a Data Scientist:

  • You will work with a financial services client on risk and anti-money laundering analytics.
  • You will design and develop transaction monitoring scenarios.
  • You will improve segmentation for the scenarios/models using techniques such as clustering.
  • You will execute periodic tuning for the threshold parameters of the scenarios through sample collection.
  • You will develop post processing models to reduce the number of false positives generated by the scenarios using techniques such as rare event logistic regression and machine learning algorithms.
  • You will develop post processing models that incorporate Natural Language Processing techniques to reduce the number of false positives.
  • You will implement models.
  • You will develop and execute ongoing monitoring plan to monitor the performance of the models.
  • You will document of the model development, especially the implementation process.
  • You will support model validation activities.
  • Ad hoc analysis to address requests from partners.
  • You will report to Senior Director, Analytics.

Qualifications:

  • Bachelor's degree in Statistics, Data Science, Operations Research, Industrial Engineering, Mathematics, or Physics, AND six (6) years related experience.
  • Master's degree in Statistics, Data Science, Operations Research, Industrial Engineering, Mathematics, or Physics, AND four (4) years related experience.
  • OR PhD degree in Statistics, Operations Research, Industrial Engineering, Mathematics, or Physics, AND two (2) years related experience.
  • Anti-money laundering related data science/ML experience in the Banking domain.
  • High proficiency with Python, R, SAS, and SQL.
  • Advanced data sourcing and management skills.
  • Enhanced experience with web scraping.
  • Knowledge and experience with CDSW (Cloudera Data Science Platform) platform.
  • Experience with software development, especially deployment.
  • Experience with classification models.

The anticipated salary range for this position is $94,000-$152,375. Salary is based on a variety of factors including relevant experience, knowledge, skills, and other factors permitted by law. A range of medical, dental, vision, 401(k) matching, paid time off, and/or other benefits also are available. For more information regarding dentsu benefits, please visit www.dentsubenefitsplus.com.

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#LI-Remote

Location:

New York

Brand:

Ugam

Time Type:

Full time

Contract Type:

Permanent

Dentsu is committed to providing equal employment opportunities to all applicants and employees. We do this without regard to race, color, national origin, sex , sexual orientation, gender identity, age, pregnancy, childbirth or related medical conditions, ancestry, physical or mental disability, marital status, political affiliation, religious practices and observances, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. 

 

Dentsu is committed to providing reasonable accommodation to, among others, individuals with disabilities and disabled veterans. If you need an accommodation because of a disability to search and apply for a career opportunity with us, please send an e-mail to [email protected] by clicking on the link to let us know the nature of your accommodation request and your contact information. We are here to support you.  

Top Skills

Python
R
SAS
SQL
The Company
15,492 Employees
On-site Workplace

What We Do

We are dentsu. We team together to help brands predict and plan for disruptive future opportunities and create new paths to growth in the sustainable economy. We know people better than anyone else and we use those insights to connect brand, content, commerce and experience, underpinned by modern creativity. We are the network designed for what’s next

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