Senior Director, Data Science at Omnicom Media Group US H&S

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

09 Mar, 26

Salary

215000.0

Posted On

09 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, R, Machine Learning, Causal Models, Project Management, Presentation Skills, Communication Skills, Digital Clean Rooms, Technical Oversight, Analytical Roadmaps, Audience Segmentation, Data Science, Marketing Strategy, Ad-hoc Support, Team Management

Industry

Advertising Services

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. Senior 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 strategic Data Science expertise within the account. Ideate solutions to develop advanced ML models to cluster and segment audiences, scale and deploy custom audiences across various platforms/ publishers Design strategic analytical roadmaps to institutionalize data driven outcomes Excellent project management skills with an ability to set goals for the team and ensure a strong sense of urgency without compromising executional excellence Contribute to building the data science practice by providing technical oversight to other DS team members across the agency Identify opportunities to drive process efficiencies and analytical consumption within the account Provide ad-hoc support to the clients to solve broad strategic marketing problems Internal facing responsibilities: Build and present decks that provide a compelling narrative to decode complex analytical results to technical and non-technical audiences Lead the development of the DS practice knowledge repository Manage direct reports by effectively delegating tasks and helping to support their career progression Required Skills Hands-on programming language skills (SQL, Python, R, etc) Advanced experience with machine learning techniques, causal models, etc. to support the analysis of information Expert-level 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 11+ 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 $120,000—$215,000 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

Responsibilities

The Senior Director, Data Science will partner with Planning & Investment teams to provide strategic Data Science expertise and ideate solutions for advanced ML models. They will also manage direct reports and contribute to building the data science practice within the agency.