Senior Analyst, Data Science

Senior Analyst, Data Science – Omnicom Media Group US H&S

New York, New York, United States – Full Time

Start Date:

Immediate

Remote:
Yes

Telecommute:
Yes

Sponsor Visa:
No

Experience Requirement: 0 year(s) or above

Hearts & Science has been inspired by confident marketers seeking business advantage in a world of personalized digital marketing,Nine 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.

• Formulate queries to derive insights from cleanroom data and develop analytical solutions for business partners.
• Conduct descriptive and diagnostic analyses to evaluate campaign performance across clean rooms and various analytics platforms (such as Google ADH, Facebook Advanced Analytics, Amazon Marketing Cloud, etc.).
• Design cleanroom dashboards and reports to facilitate strategy optimization as part of a comprehensive measurement framework.
• Embrace innovative cleanroom features (such as audience creation) and modeling techniques to enhance measurement and analytics capabilities.
• Meet established deadlines while ensuring the delivery of high‑quality work.
• Assist in the development of the DS Practice knowledge repository through presentations, documentation, and other resources.
• Provide analytical project support to the strategy, media, and audience teams.
• Clearly communicate findings to internal stakeholders and senior leadership.

• Intermediate programming language skills (SQL, Python, R, etc.)
• Basic understanding of machine learning techniques, causal models, etc. to support the analysis of information
• Awareness of digital clean rooms, and their related concepts and strategy
• Strong communication skills
• Experience building and reporting dashboards
• Certifications in any of the following: SQL, Python, R
• Some domain knowledge of business/industry

A university degree in mathematics, computer science, statistics or related field, and 1–2 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.

Advanced degree (master’s) is a plus.

Compensation Range: $75,000—$80,000 USD.

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.

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.

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