Note: The job is a remote job and is open to candidates in USA. dentsu is a data-driven marketing and analytics company that helps clients enhance business decision-making through customer analytics and data science. The Manager, Analytics will lead client data science and advanced analytics engagements, manage communications and deliverables, guide analytical interpretation, and advance statistical, econometric, and media science solutions.
Responsibilities
- Manage client data science and advanced analytics engagements with a focus on delivery:
- Manage client communications and final deliverables
- Work in close collaboration with Analytics, Client Service and channel delivery teams to set agendas and develop media optimization opportunities
- Build internal and external timelines and project plans using Agile Project Management
- Lead the gathering of user stories, brainstorming sessions, development, and eventual deployment of generalized and custom analytical tools outside of client specific work
- Actively lead specific team-wide learning and development initiatives, including:
- Research into and the advancement of statistical or econometric methodologies
- R&D for new app or tool development ideas, including the development of MVP and proof-of-concept media science applications
- Development of both bespoke and productized media science solutions
- Interface directly with clients and internal leadership to deliver results of a specific analysis and guide interpretation of analytics outputs and how to implement results
Skills
- Bachelor's and/or Master's degree in Computer Science, Mathematics, Data Science/Management Science or in a relevant quantitative field
- 8+ years of hands-on working experience in Data Science capacity with a minimum of two years working in customer analytics and/or digital media (agency or client-side)
- Strong foundation in either Python or R, with working knowledge of the following libraries/modules:
- Python: pandas, NumPy, StatsModels, SciKit-learn, Matplotlib
- R: tidyverse (dplyr, tidyr, purrr, ggplot2), lme4, shiny
- Functional working proficiency with Git (GitHub & BitBucket)
- Familiarity with relational databases and the cloud (e.g., AWS/GCP/Azure)
- Exposure to and understanding of several key econometric and statistical frameworks:
- Linear Regression, Logistic Regression, ARIMA, Kalman Filter, BSTS, Decision Trees, RandomForest, Factor Analysis, KNN, K-Means, etc
- Possess the ability to mentor a team, take ownership, and operate independently to solve to client requests using a combination of critical thinking and initiative
- The demonstrated ability to translate complex processes into client-friendly terms
- Strong communication and presentation skills, including the ability to take complex subject matter and concisely communicate it to a wide range of audiences – from senior executives to deep subject matter experts
- Experience with marketing response models and their applications a plus
Benefits
- Medical, vision, and dental insurance
- Life insurance
- Short-term and long-term disability insurance
- 401k
- Flexible paid time off
- At least 15 paid holidays per year
- Paid sick and safe leave
- Paid parental leave
- Flexible work arrangements combining remote work with in-person collaboration, depending on location, role, and business needs
Company Overview