• Remote, New York, Chicago, Atlanta
  • $120,000-$140,000 + Sign On Bonus + Bens
  • Perm
  • EMAIL TO A FRIEND
Richard Manso

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Richard Manso

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r.manso@digitalrepublictalent.com


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OVERVIEW

Our client is a global media giant with a  network of companies that  comprises 66,000 diverse people in 143 countries, who are dedicated to teaming for growth and good. The group includes some award-winning agencies and they are looking for a number of  Data Science Managers to join their growing team 

The primary focus of this Data Science team is to devise robust yet simple, actionable solutions to drive our clients’ business goals. Our clients see us as trusted advisors and depend on our subject matter expertise to enhance decision making via their deep (and constantly evolving) marketing analytics capabilities. 

For this role, we are looking for someone who is deeply experienced in the application of advanced statistical and econometric methodologies in both theory and practice for both traditional and digital media. Candidates should be intellectually curious and pragmatic self-starters who possess demonstrable experience leading projects through to completion.

Responsibilities

Manage client data science and advanced analytics engagements with a focus on delivery:

  • Manage client communications and final deliverables
  • Work in close collaboration with Analytics, Client Service and channel delivery teams to set agendas and develop media optimization opportunities
  • Build internal and external timelines and project plans using Agile Project Management

Lead the gathering of user stories, brainstorming sessions, development, and eventual deployment of generalized and custom analytical tools outside of client specific work. Actively lead specific team-wide learning and development initiatives, including:

  • Research into and the advancement of statistical or econometric methodologies
  • R&D for new app or tool development ideas, including the development of MVP and proof-of-concept media science applications
  • Development of both bespoke and productized media science solutions 

Interface directly with clients and internal leadership to deliver results of a specific analysis and guide interpretation of analytics outputs and how to implement results

Qualifications

  • Bachelor’s, Master’s, or PhD in a relevant quantitative field
  • 3-5 years of hands-on working experience in Data Science capacity with a minimum of two years working in digital media (agency or client-side)
  • Strong foundation in either Python or R, with working knowledge of the following libraries/modules:
  • Python: pandas, NumPy, StatsModels, SciKit-learn, Matplotlib, R: tidyverse (dplyr, tidyr, purrr, ggplot2), lme4, shiny
  • Functional working proficiency with Git (GitHub & BitBucket)
  • Familiarity with relational databases and the cloud (e.g., AWS/GCP/Azure)
  • Exposure to and understanding of several key econometric and statistical frameworks:
  • Linear Regression, Logistic Regression, ARIMA, Kalman Filter, BSTS, Decision Trees, RandomForest, Factor Analysis, KNN, K-Means, etc.
  • Possess the ability to mentor a team, take ownership, and operate independently to solve to client requests using a combination of critical thinking and initiative
  • The demonstrated ability to translate complex processes into client-friendly terms
  • Experience with marketing response models and their applications a plus
  • Strong communication and presentation skills, including the ability to take complex subject matter and concisely communicate it to a wide range of audiences – from senior executives to deep subject matter experts

How do You Apply?

If you’re interested in applying for these Data Science Manager roles contact me  on the phone  ( +1 628 239 3600 )or email. Get in contact with Digital Republic Talent by sending a mail to r.manso@digitalrepublictalent.com or call the office on Check out the website on www.digitalrepublictalent.com. You can also find our more on Linkedin, Instagram or Facebook

Our client is a global media giant with a  network of companies that  comprises 66,000 diverse people in 143 countries, who are dedicated to teaming for growth and good. The group includes some award-winning agencies and they are looking for a number of  Data Science Managers to join their growing team 

The primary focus of this Data Science team is to devise robust yet simple, actionable solutions to drive our clients’ business goals. Our clients see us as trusted advisors and depend on our subject matter expertise to enhance decision making via their deep (and constantly evolving) marketing analytics capabilities. 

For this role, we are looking for someone who is deeply experienced in the application of advanced statistical and econometric methodologies in both theory and practice for both traditional and digital media. Candidates should be intellectually curious and pragmatic self-starters who possess demonstrable experience leading projects through to completion.

Responsibilities

Manage client data science and advanced analytics engagements with a focus on delivery:

  • Manage client communications and final deliverables
  • Work in close collaboration with Analytics, Client Service and channel delivery teams to set agendas and develop media optimization opportunities
  • Build internal and external timelines and project plans using Agile Project Management

Lead the gathering of user stories, brainstorming sessions, development, and eventual deployment of generalized and custom analytical tools outside of client specific work. Actively lead specific team-wide learning and development initiatives, including:

  • Research into and the advancement of statistical or econometric methodologies
  • R&D for new app or tool development ideas, including the development of MVP and proof-of-concept media science applications
  • Development of both bespoke and productized media science solutions 

Interface directly with clients and internal leadership to deliver results of a specific analysis and guide interpretation of analytics outputs and how to implement results

Qualifications

  • Bachelor’s, Master’s, or PhD in a relevant quantitative field
  • 3-5 years of hands-on working experience in Data Science capacity with a minimum of two years working in digital media (agency or client-side)
  • Strong foundation in either Python or R, with working knowledge of the following libraries/modules:
  • Python: pandas, NumPy, StatsModels, SciKit-learn, Matplotlib, R: tidyverse (dplyr, tidyr, purrr, ggplot2), lme4, shiny
  • Functional working proficiency with Git (GitHub & BitBucket)
  • Familiarity with relational databases and the cloud (e.g., AWS/GCP/Azure)
  • Exposure to and understanding of several key econometric and statistical frameworks:
  • Linear Regression, Logistic Regression, ARIMA, Kalman Filter, BSTS, Decision Trees, RandomForest, Factor Analysis, KNN, K-Means, etc.
  • Possess the ability to mentor a team, take ownership, and operate independently to solve to client requests using a combination of critical thinking and initiative
  • The demonstrated ability to translate complex processes into client-friendly terms
  • Experience with marketing response models and their applications a plus
  • Strong communication and presentation skills, including the ability to take complex subject matter and concisely communicate it to a wide range of audiences – from senior executives to deep subject matter experts

How do You Apply?

If you’re interested in applying for these Data Science Manager roles contact me  on the phone  ( +1 628 239 3600 )or email. Get in contact with Digital Republic Talent by sending a mail to r.manso@digitalrepublictalent.com or call the office on Check out the website on www.digitalrepublictalent.com. You can also find our more on Linkedin, Instagram or Facebook