Hearts & Science
Overview
Global Talent Acquisition @Omnicom Media Group | Annalect
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:
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.)
Adhere to set deadlines and ensure high quality work product
Internal facing responsibilities:
Leverage technical (coding) skills to help bring about process efficiencies
Contribute to building decks and reports that help translate analytical results to internal and client teams
Contribute to building DS Practice knowledge repository via decks, documents and other artifacts
Qualifications
Hands-on programming language skills (SQL, Python, R, etc)
Intermediate exposure to machine learning techniques, causal models, etc. to support the analysis of information
Advanced presentation and communication skills
Some experience working with non-technical teams
Knowledge of digital clean rooms, and their related concepts and strategy
Certifications in any of the following: Meta (Blueprint), SQL, Python, R (online)
Demonstrated domain knowledge of business/industry
Education And Experience
A university degree in mathematics, computer science, statistics or related field, and 3-5 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
Compensation and Benefits 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
$70,000—$125,000 USD
Hybrid work arrangement: three (3) days per week in the office; two (2) days may be worked remotely. In-office days are discussed during the interview process with potential adjustments over time based on business needs.
Review Our Recruitment Privacy Notice
Job Details
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Engineering and Information Technology
Industries: Advertising Services
Referrals increase your chances of interviewing at Hearts & Science by 2x
Get notified about new Data Science Manager jobs in Chicago, IL.
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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:
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.)
Adhere to set deadlines and ensure high quality work product
Internal facing responsibilities:
Leverage technical (coding) skills to help bring about process efficiencies
Contribute to building decks and reports that help translate analytical results to internal and client teams
Contribute to building DS Practice knowledge repository via decks, documents and other artifacts
Qualifications
Hands-on programming language skills (SQL, Python, R, etc)
Intermediate exposure to machine learning techniques, causal models, etc. to support the analysis of information
Advanced presentation and communication skills
Some experience working with non-technical teams
Knowledge of digital clean rooms, and their related concepts and strategy
Certifications in any of the following: Meta (Blueprint), SQL, Python, R (online)
Demonstrated domain knowledge of business/industry
Education And Experience
A university degree in mathematics, computer science, statistics or related field, and 3-5 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
Compensation and Benefits 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
$70,000—$125,000 USD
Hybrid work arrangement: three (3) days per week in the office; two (2) days may be worked remotely. In-office days are discussed during the interview process with potential adjustments over time based on business needs.
Review Our Recruitment Privacy Notice
Job Details
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Engineering and Information Technology
Industries: Advertising Services
Referrals increase your chances of interviewing at Hearts & Science by 2x
Get notified about new Data Science Manager jobs in Chicago, IL.
#J-18808-Ljbffr