Data Scientist

2 Days ago • 2 Years +

About the job

SummaryBy Outscal

Data Scientist with 2+ years experience in predictive modeling, machine learning, and data analysis. Experience with SQL, Python, R, and ML algorithms like regression, tree-based, and clustering. Excellent communication and problem-solving skills are essential.

Company Description

At Publicis Groupe, we are looking for a Data Scientist fluent in English to join our Data Science Hub at Publicis Global Delivery, our talent powerhouse, the global interconnected network that provide offshore & nearshore solutions for our partners - sister companies´ business worldwide. 🌍

We currently have Hubs in Argentina, Colombia and Costa Rica and we are offering the amazing opportunity to take part of a globally distributed team that has a knack for understanding data and telling the story of why it matters. By joining our team, you´ll be working to uncover deep analytical insights to drive high-impact results to our international clients, having the unique opportunity to be part of a great variety of projects in a flexible, fast-paced and multicultural environment that is always growing and mutating.

Job Description

What you’ll do:

You´ll be creating predictive models, including ML algorithms and AI, to drive marketing performance, isolate key KPI trends and performance pacing, optimize consumer online/offline experiences, predict consumer behaviors, maximize sales conversion, drive optimizations and forecast critical business outcomes!

Qualifications

We’re looking for strong, impactful work experience, which typically includes:

• +2 years´ experience as a Data Scientist
• Degree in Economics, Mathematics, Statistics or similar field
• Performing quantitative data analysis. report writing and presenting findings
• Data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, MATLAB)
• Strong applied machine learning experience including but not limited to:
 o Regression (Logistic/Linear/GLMs/Ridge/Lasso)
 o Tree Based (XGBoost, LightGBM, RF)
 o Clustering (Kmeans/RFM/Hierarchical/HDBSCAN)
• Experience in at least one Deep learning framework: TensorFlow, Pytorch, Keras, MXNet, Gluon
• Experience developing relevant and impactful data driven insights
• Experience prepping and working with large data sets
• Highly analytical and detail oriented, with a passion for digging into data to identify key trends, results, and critical outcomes
• Ability to communicate technical and complex concepts to non-technical stakeholders and clients

Additional Information

Benefits

  • Access to Prepaid Medical Plan
  • Flexible schedule
  • 100% Remote work
  • 14 business days of vacation
  • English lessons
  • Discounts on courses, trainings and universities
  • Access to E-Learning platforms
  • Technical trainings & soft skills development
  • Certification programs
  • Level up program
  • Engagement activities and events
  • A mentor who´ll do a coaching process with you to develop your professional career!

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