Senior Director, Data Science

Job Description:

This is a remote opportunity, open to anyone in the US.

The primary focus of dentsu’s Data Science team is to devise robust yet simple, actionable solutions to drive our clients’ business goals. Our clients see us as trusted advisors and depend on our subject matter expertise to enhance decision-making via our deep (and constantly evolving) marketing analytics capabilities. The Senior Director, Data Science will report to the VP, Analytics. You will be someone who is experienced in the application of advanced statistic and econometric methodologies in both theory and practice for both traditional and digital media. You should possess demonstrable experience leading projects from start to finish.

Responsibilities

• Manage client communications and final deliverables
• Work in close collaboration with Media Analytics, Client Service and channel delivery teams to set agendas and develop media optimization opportunities
• Build internal and external timelines and project plans
• Mentor team members on technical skills and general consultative skills in the service of client engagements
• 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
• Lead initiatives for learning and development for both technical and soft skills
• Establish, document, and provide mentorship on best practices in data science, statistics, and computational programming
• 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
  
  
  

Requirements

• You will have a Bachelor’s, Master’s, or higher in a relevant quantitative field
• 10 years of experience in Data Science with a minimum of two years working in digital media (agency or client-side)
• Strong foundation in either Python or R
• 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, Linear/Dynamic programming, etc.
• Possess the ability to mentor a team, take ownership, and operate independently to solve client requests using a combination of business domain knowledge, critical thinking, socio-emotional intelligence, and initiative
• Demonstrated ability to translate complex processes into client-friendly terms
• Experience with marketing response models and their applications
• Ability to take complex subject matter and concisely communicate it to a wide range of audiences – from senior executives to deep subject matter experts.
  
  
  

Additional Information

The anticipated salary range for this position is $136,000-$219,650. Actual salary will be 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 dentsubenefitsplus.com

Location:

USA - Remote - Maryland

Brand:

Merkle

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.

 

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