Director, Attribution (Health)

Job Description:

This role is remote friendly.

The Director, Attribution (Health) will be an integral part of our US-based modeling capabilities. You will leverage data science techniques to examine marketing activities and to estimate their business impact to our clients. These projects will include Media Mix Optimization, Analysis of Covariance (test and control), Cluster Analysis, and Attribution Modeling of disaggregate event-stream data. You will be a "player coach"; in some cases, the Manager may lead a team coordinating with some of our most important clients on data acquisition, modeling, and presentation of results on high-visibility projects. In other cases, the Director will be hands-on keyboard helping to revise code and drive innovation. This role will manage a US-based and India-based team.

You will report to VP, Anayltics.

Responsibilities

• Coordinate and manage data collection with clients

• Lead teams to develop reports and processes to manage data quality control

• Manage project teams and direct reports effectively to drive innovation in analytics and deliver on client expectations

• Supervise and, as needed, conduct modeling of client data adhering to project timelines

• Interpret and visualize model estimates and diagnostics

• Drive process innovation and continuous improvement

Qualifications

• 4+ years of experience leveraging analytics to measure marketing effectiveness with a focus on measurement and attribution

• 3+ years of experience in health and/or pharma

• Bachelor's degree in at least one of these fields required: statistics, economics, applied mathematics, optimization, computer science, physics; advanced degree preferred

• Experience working with and measuring TV, digital media, and CRM data

• Deep knowledge of statistics/data science, including regression, hierarchical or mixed regression, and machine learning techniques (Naïve Bayes, Markov Chain, Random Forest etc.)

• Advanced modeling skills with Python and R

• Extensive cloud environment experience, especially GCP and AWS

• Data visualization experience with tools like Tableau or Power BI a plus

• Understanding of marketing objectives and how different media channels support these objectives

• Strong communication skills, with the ability to present information in spoken, written or visual form to a variety of audiences, from internal teams to external client executives.

• Ability to manage your team's multiple client engagements running in parallel in balance with leading a high performing team

• Track record of collaboration with teammates, especially global teams, to share learnings and techniques

• Skilled at coaching, developing, and managing a team

The annual salary range for this position is $136,000 - $219,650. Placement within the salary range is based on a variety of factors, including relevant experience, knowledge, skills, and other factors permitted by law.

Benefits available with this position include:

• 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, and

• Paid parental leave.

Dentsu also complies with applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, in accordance with its plans and policies. For more information regarding dentsu benefits, please visit www.dentsubenefitsplus.com.

To begin the application process, please click on the “Apply” button at the top of this job posting. Applications will be reviewed on an ongoing basis, and qualified candidates will be contacted for next steps.

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Location:

USA - Remote - New York

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, citizensh