Executive Director, Data Science

The Company

Hearts & Science has been inspired by confident marketers seeking business advantage in a world of personalized digital marketing, where CRM and addressable channels converge, and decisions must be made in real time to aggregate effective reach and deliver the right message at the right time.

Designed to inform brand strategies with real-time insights, Hearts & Science is a data-driven marketing agency with expert media planning and buying capabilities, among other services that include shopper marketing, marketing innovation and content activation.

The Data Science team is pivotal in the delivery of modern agency services. We are tightly integrated with marketing science teams to deliver on and exceed our clients’ business goals.

Responsibilities

External facing responsibilities:

• Provide technical subject matter expertise and data science thought leadership within assigned accounts.
• Partner with Planning teams to support end-to-end audience strategy by leading the data source onboarding, leveraging advanced ML techniques to build, scale and deploy audiences across various platforms/ publishers
• Partner with the Activation team to help develop best in class technical solutions to optimize campaign performance
• Provide SME for developing short, medium and long term analytical and clean room roadmaps
• Expert storyteller, who can help decode complex analytical solution and results to technical and non-technical audiences via a compelling narrative
• Contribute to building the data science practice by providing technical oversight to other DS team members across the agency
• People Management: Coach and mentor direct reports by supporting their career progression. Help with task delegation and assignment across the practice for ad hoc requests as needed.
  
  

Internal Facing Responsibilities

• Stay "in the know" and on top of latest trends in the various industries/verticals to be able to seamlessly translate business problems into analytical solutions.
• Provide data science support for account and agency growth opportunities.
• People Management: Coach and mentor direct reports by supporting their career progression. Help with task delegation and assignment across the practice for ad hoc requests as needed.
  
  

Required Skills

• Hands-on programming language skills (SQL, Python, R, etc)
• Demonstrated experience with machine learning techniques, causal models, etc. to support the analysis of information
• Presentation and communication skills
• Experience working with non-technical teams
• Clear understanding of digital clean rooms, and their related concepts and strategy
• Certifications in any of the following: Meta (Blueprint), SQL, Python, R (online)
• Expert-level domain knowledge of business/industry
  
  

Education And Experience

• A university degree in mathematics, computer science, statistics or related field, and 15 years of experience in informatics work in academia, advertising, management consulting, marketing or digital consulting
• Knowledge of agency-side execution process is desirable, but not required
  
  

This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). The Company reserves the right to modify this pay range at any time. For this role, benefits include: health insurance, vision insurance, dental insurance, 401(k), Healthcare Flexible Spending Account, Dependent Care Flexible Spending Account, vacation days, sick days, personal days, paid parental leave, paid medical leave, and STD/LTD insurance benefits.

Compensation Range

$170,000—$250,000 USD

This role is hybrid, requiring three (3) days per week in the office. The remaining two (2) days may be worked remotely. Specific in-office days will be discussed during the interview process, with flexibility to align with team needs. Please note that the number or required in-office days may be adjusted over time, potentially increasing the number of required in-office days based on business needs.

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