Senior Manager, Data Scientist

Company Description

Merkle is a leading technology-enabled, data-driven customer experience management (CXM) company. For over 30 years, Fortune 1,000 companies and leading nonprofit organizations have partnered with us to build and maximize the value of their customer portfolios. We are champions for meaningful progress and we strive to be a force for good—for our people, for our clients, for the industry and for our society. We keep our people at the center, creating space for growth, understanding and learning so they can thrive. We embed diversity, in our mindset, in our solutions and in our teams to empower an inclusive, equitable and culturally fluent environment. Building this culture within our teams makes us better collaborators with each other and with our clients, driving better outcomes for all. Merkle is an agency of dentsu.

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.
• High proficiency with Python, R, SAS, and SQL.
• Experience with GenAI/LLM based applications.
• 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.

Additional Information

The anticipated salary range …