FreshRemote.Work

Senior Manager, Data Scientist

New York - 150 E 42nd

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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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 ApplicantAccommodations@dentsu.com 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.  

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Job Profile

Regions

North America

Countries

United States

Benefits/Perks

401(k) matching Dental Medical Paid Time Off Vision

Tasks
  • Design transaction monitoring scenarios
  • Develop post processing models
  • Document model development
  • Execute ongoing monitoring plan
  • Improve segmentation for models
  • Support model validation
Skills

Analytics Classification Models Clustering Data Management Data Science Data Sourcing Machine Learning Model Validation Natural Language Processing Python R Rare event logistic regression SAS Segmentation SQL Statistics Web Scraping

Experience

2-6 years

Education

Bachelor's Bachelor's degree Master's Ph.D.

Timezones

America/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9