Manager, Data Science

Hearts & Science; Chicago (IL); Hybrid; USD 125,000 - 130,000; Full time

Job summary

A leading data-driven marketing agency seeks a Manager, Data Science to enhance client strategies through advanced analytics and machine learning. The successful candidate will leverage programming and analytical skills while collaborating closely with both internal teams and external clients to deliver actionable insights and optimize marketing campaign strategies. This mid-senior level role requires a university degree in related fields and 3-5 years experience, with emphasis on dynamic problem-solving in data contexts.

Benefits

Health insurance

Vision insurance

Dental insurance

401(k)

Paid parental leave

Paid medical leave

STD/LTD insurance benefits

Qualifications

• 3-5 years of experience in informatics work in academia, advertising, management consulting, marketing or digital consulting.
• Some experience working with non-technical teams.
• Knowledge of agency-side execution process is desirable.

Responsibilities

• Build advanced ML models to cluster and segment audiences.
• Run descriptive and diagnostic analyses to measure campaign performance.
• Leverage coding skills for process efficiencies.

Skills

SQL

Python

R

Machine Learning Techniques

Advanced Presentation Skills

Communication Skills

Digital Clean Rooms Knowledge

Certifications (Meta, SQL)

Education

University degree in Mathematics

Degree in Computer Science

Degree in Statistics

Job description

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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:

• 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
  
  

Required Skills

• 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
  
  

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

$125,000—$130,000 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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Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Advertising Services

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