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.

• You will be part of an advanced retail artificial intelligence (AI) and advanced data analytics team consisting of colleagues possessing varying skill sets including data scientists, data engineers, front-end and back-end developers and other business analysts.
• You will apply advanced algorithms and optimization techniques to the design and improvement of company operations. This role explores new frontiers in the application of modeling, simulation, and optimization methods with significant results with a focus on problems including network design and facility location, inventory planning, order assignment, equipment and process design, and process control within and across facilities.
• Additional responsibilities include quantifying the benefits of investigating capacity allocation across a network of DC's/Stores to ensure optimal availability at peak demand leverage both supplier and internal process capability to ensure customer deliveries.
• You will report to a Data Science Director
• This role is remote friendly

-             Bachelor’s or Master’s degree in Data Science, Mathematics, Statistics or equivalent experience

-             3 + years’ experience with Operations Research, Quantitative Modeling and Predictive or Forecasting Methodologies

-             Experienced with the application of statistics and data-mining in a business environment

      (trend discovery and analysis, correlation and pattern discovery, text mining, etc.)

-             Experience in operations analysis, data analytics, computer science or related field.

-             Familiar with SQL, and able to create/perform basic queries.

Desired skills:

-             Experience using Google Big Query, Python, Tableau, Jupyter Notebooks, and Vertex AI

-             Proficient with data discovery and exploration, strong use of statistical analysis tools

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 the network designed for what’s next, helping clients predict and plan for disruptive future opportunities in the sustainable economy. Taking a people-centered approach to business transformation, dentsu combines Japanese innovation with a diverse, global perspective to drive client growth and to shape society.
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.