Data Scientist

hace 5 días

Bogota, Colombia Prodigious A tiempo completo

Company Description
At Publicis Groupe, we are looking for a Data Scientist fluent in English to join Publicis Global Delivery, the outstanding platform that we created to become a global interconnected network and provide offshore & nearshore solutions for our partners - sister companies´ business worldwide.

We are a never sleeps machine of creation that continuously grows and mutates to become a more efficient and collaborative system. A cross-media transformation agent, based in Argentina, Colombia, Costa Rica and Mexico, that provides centralized expertise of all Publicis Global Services' capabilities to enable consistent and standardized delivery across Media, Production, Commerce, Content, Data & Technology.

**Job Description**:
By joining our team you´ll be working with large data sets pulled from media campaigns, CRM, and the client’s website to provide valuable insights for strategic planning and drive measurable improvements in media targeting, having the unique opportunity be part of a great variety of projects in a flexible, fast-paced and multicultural environment.

Day to day, your role includes:

- Identifying business problems and challenges and find solutions utilizing Machine Learning and Data Science practices.
Methodology selection and testing and coding solutions to a production level
- Identify business challenges & opportunities for campaign improvements
- See beyond the numbers and understand how users interact with the exposed media content (banners, videos, audios,)
- Partner with Business and Engineering teams to solve problems and identify trends and opportunities
- Inform, influence, support, and execute our campaigns decisions and launches
Forecasting and setting campaign team goals, designing, and evaluating experiments
- Monitoring key product metrics, understanding root causes of changes in metrics
- Building key data sets structure to empower operational and exploratory analysis
- Identifying new levers to help move key metrics over markets
- Understanding ecosystems, user behaviors, and long-term trends
- Building and analyzing dashboards and reports
- Improving decisions through the presentation of data-based recommendations

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

- Master’s 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: Regression (Logistic/Linear/GLMs/Ridge/Lasso)Tree Based (XGBoost, LightGBM, RF) 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
- Knowledge of digital media and web analytics a plus
- 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

A plus:

- Knowledge of AWS services (S3, EC2, Redshift, Glue, Athena, Lambda)
- Media experience
- Familiarity with various ETL techniques and frameworks
- Experience working within a customer data platform such as Treasure Data, Google Cloud Platform, or Acxiom Marketing Analytics Environment

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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