Job Description

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. Director, Data Science 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: * Partner with Planning & Investment teams to provide expert hands-on and well as strategic Data Science support across the entire campaign lifecycle. * Build advanced ML models to cluster and segment audiences, scale and deploy custom audiences across various platforms/ publishers * Run descriptive and diagnostic analyses to help measure campaign performance within clean rooms and/or other analytics platforms (e.g., Google ADH, Facebook advanced analytics, Amazon Marketing Cloud, etc.) * Help develop strategic analytical roadmaps to institutionalize data driven outcomes * Excellent project management skills with an ability to set and achieve goals, meet deadlines and act with a strong sense of urgency without compromising executional excellence * Leverage technical (coding) expertise to help bring about process efficiencies Internal facing responsibilities: * Build and present decks that provide a compelling narrative to decode complex analytical results to technical and non-technical audiences * Help design and develop the DS practice knowledge repository and delegate tasks to junior resources to support vision * Lead and train direct reports and manage their career progression Required Skills

• Hands-on programming language skills (SQL, Python, R, etc)
• Experienced in machine learning techniques, causal models, etc. to support

the analysis of information

• Advanced 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 7-10 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

#LI-CC2

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

$120,000—$175,000 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. Review Our Recruitment Privacy Notice [

Job Tags

Full time, Work at office, Remote work, Flexible hours, 3 days per week

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