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.
- 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.
Additional Information
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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About dentsu
Dentsu is an integrated growth and transformation partner to the world’s leading organizations. Founded in 1901 in Tokyo, Japan, and now present in more than 110 markets, it has a proven track record of nurturing and developing innovations, combining the talents of its global network of leadership brands to develop impactful and integrated growth solutions for clients. Dentsu delivers end-to-end experience transformation (EX) by integrating its services across Media, CXM and Creative, while its business transformation (BX) mindset pushes the boundaries of transformation and sustainable growth for brands, people and society.
Dentsu, Innovating to Impact.
Find out more:
https://www.dentsu.com/
https://www.group.dentsu.com/en/
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.
Dentsu (the "Company") is committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee of the Company, on the basis of age, sex, sexual orientation, race, color, creed, religion, ethnicity, national origin, alienage or citizenship, disability, marital status, veteran or military status, genetic information, or any other legally-recognized protected basis under federal, state or local laws, regulations or ordinances. Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and/or certain state or local laws. A reasonable accommodation is a change in the way things are normally done that will ensure an equal employment opportunity without imposing an undue hardship on the Company. Please contact your recruiter if you need assistance completing any forms or to otherwise participate in the application process or to request or discuss an accommodation in connection with a job at the Company to which you are applying.
