Logo for Wolf Recruiter

Data Scientist Media Mixed Modeling (MMM) & Multi-Touch

Role overview

Qualifications

  • 5+ years of experience in Product Management, with at least 3 years in Ad Tech.
  • Strong understanding of AdSales systems and their operation.
  • Proven experience with Data Analytics and Engineering, including model development and deployment.
  • Deep expertise in Media Mixed Modeling (MMM) and Multi-Touch Attribution (MTA).

Responsibilities

  • Lead the design and development of Media Mixed Models (MMM) and Multi-Touch Attribution (MTA) models to drive media and advertising effectiveness.
  • Collaborate with cross-functional teams, including Product Management and AdSales, to deliver data-driven insights and strategies.
  • Work closely with data analytics and engineering teams to enhance data processing and model efficiency.
  • Utilize your knowledge of OTT (Over-The-Top) and media platforms to optimize marketing strategies and customer targeting.

Key facts

Other skills

  • Collaboration
  • Leadership

About the company

Wolf Recruiter logo

Wolf Recruiter

Staffing & Recruiting

Somos expertos en operaciones de Recursos Humanos, especializados en la búsqueda y evaluación de personal para simplificar tu proceso de contratación.

Company details

Company typeSmall startup
IndustryStaffing & Recruiting
Company size2 - 10

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

Job description

Location: Remote (USA or Canada)
Company: Wolf Recruiter | www.wolfrecruiter.com
Salary Range: Negotiable


About Us:
Wolf Recruiter is a global talent acquisition firm dedicated to helping companies hire top talent in the data science and ad tech space. We are currently looking for an experienced Data Scientist to join a cutting-edge team, focusing on developing advanced Media Mixed Models (MMM) and Multi-Touch Attribution (MTA) models.


Key Responsibilities:

  • Lead the design and development of Media Mixed Models (MMM) and Multi-Touch Attribution (MTA) models to drive media and advertising effectiveness.
  • Collaborate with cross-functional teams, including Product Management and AdSales, to deliver data-driven insights and strategies.
  • Work closely with data analytics and engineering teams to enhance data processing and model efficiency.
  • Utilize your knowledge of OTT (Over-The-Top) and media platforms to optimize marketing strategies and customer targeting.
  • Manage projects across both USA/Canada and offshore teams, ensuring seamless collaboration and execution.


Qualifications:

  • 5+ years of experience in Product Management, with at least 3 years in Ad Tech.
  • Strong understanding of AdSales systems and their operation.
  • Proven experience with Data Analytics and Engineering, including model development and deployment.
  • Deep expertise in Media Mixed Modeling (MMM) and Multi-Touch Attribution (MTA).
  • Familiarity with OTT and media environments is essential.
  • Strong leadership and project management skills, with the ability to manage resources across multiple geographies (USA/Canada and offshore).


Why Join Us?

  • Work in a dynamic, remote-first environment with flexibility.
  • Collaborate with talented teams in the cutting-edge ad tech space.
  • Opportunity to make a significant impact on data-driven marketing strategies.

Apply once. Then go straight to the hiring manager.

After you apply, unlock the direct contact details of the people who actually make the call. A quick follow-up makes you 5x more likely to land an interview.

MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
Unlocked after you apply
·

Data Scientist Related jobs

Other jobs at Wolf Recruiter

Premium

Reach out to the hiring manager directly.

Gain access to the contact details of the hiring managers who actually decide, and reach out to network with them directly. That, plus more when you upgrade:

  • Full match report with fit score and gaps
  • Career diagnostics on how recruiters read you
  • Curated company matches and warm intros
  • 48h early access to new roles

Cancel anytime.