Junior Data Science Analyst

Publicis Groupe; Bogotá; Hybrid; COP 33,480,000 - 66,960,000; Full time

Job summary

Publicis Groupe seeks a Junior Data Science Analyst in Bogotá to drive advanced audience development and technology enablement. You will sift through large data sets using statistical methods and guide clients through futureproofed analytics solutions.

Collaboration with client stakeholders and internal leads is essential to deliver high-quality, actionable insights. Ideal candidates have 1+ year in data science, strong Python and SQL, and a quantitative background.

Qualifications

• 1+ year of experience as a Data Scientist or similar roles.
• Strong Python skills for data analysis and machine learning.
• Strong SQL skills and experience manipulating large datasets.
• Hands-on statistical modeling and machine learning (regression, clustering, propensity modeling).
• Strong knowledge of statistics and experimental design; bias considerations.
• Strong client-facing communication skills; translate analytics to business actions.

Responsibilities

• Guide clients in clean room strategy and enable the use of futureproofed technology.
• Develop propensity models for new and existing audiences.
• QA data to ensure accurate match rates with client systems.
• Improve modeling practices to optimize core data processing and activation results.
• Present complex concepts to non-technical stakeholders and clients.

Skills

Python

SQL

Statistical modeling

Statistics/DOE

Client communication

English proficiency

Education

Quantitative degree (Statistics/Data Science)

Tools

Redshift

AWS

Job description

Company description

Publicis Global Delivery is the talent powerhouse of Publicis Groupe, the largest global communications group. We make sure to hire, boost and develop the best people worldwide to deliver outstanding work for the most prominent clients within the Groupe.

In LATAM, we are over 3,000 passionate employees that love to push boundaries and drive innovative solutions. If you are a risk-taker and love to develop intrepid ideas, PGD is the place for you.

We Move People, and People Move Us!

Overview

The Junior Data Science Analyst is responsible for advanced audience development and technology enablement. The role requires the candidate to sift through big data by leveraging advanced statistical concepts and guide the client into the world of futureproofed technology. Working closely with client stakeholders and internal team leads are vital parts of the role, with accountability for the highest quality execution of a diverse array of client and project deliverables an imperative. The role functions as an expert technical point of escalation, an analytical problem solver, and a technical translator to internal account teams and clients. It provides ongoing strategic account direction/vision for technology, process, and data science.

Responsibilities

• Guide the clients in clean room strategy and enable the use of this futureproofed technology
• Propensity model development using ML techniques for net new audiences and refreshes of existing audiences
• QA and troubleshooting of 1P onboarded data to ensure acceptable match rates with client systems
• Advancement of internal modeling practices to improve efficiencies in core hour usage and drive better activation results
• Audience analysis on 1P subscriber segments and collaboration with teams internally on findings
• Index report Python script runs and maintenance for data organization that leads to more efficient analysis
• Translation of technical concepts to non-technical stakeholders via presentations given to clients and vendors
• Guide statistically sound test design that ensures limited to no bias resulting in actionable takeaways
• Keep abreast of evolving media landscape, including research and emerging trends to provide insight to both media teams and client (as required)
• Create and manage deliverables against detailed project plans that align expectations with outcomes
• Provide a high-value consultation layer on top of data science deliverables
• Determine the best means of communicating data science driven insights to clients that ensures understanding of results and application of the analyses is applied
• Build presentations providing clear storyline - why the work is important, the truths that the analytics reveal, and the actions that should follow the analyses
• Grow product delivery and agency revenue organically by cross-selling and up-selling value-add data science products across client divisions, markets, categories, etc.

Qualifications

Must have skills:

• English B2+ or higher.
• 1+ year of experience as a Data Scientist or similar roles.
• Strong Python skills for data analysis and machine learning.
• Strong SQL skills and experience manipulating large datasets.
• Hands-on statistical modeling and machine learning experience, including regression, clustering and/or propensity modeling.
• Strong knowledge of statistics and experimental design, including statistical significance and bias considerations.
• Strong client-facing communication skills, with the ability to translate complex analytical findings into actionable business recommendations.

Additional skills:

• 1+ years of experience in the Advertising or Marketing industry
• Experience using web services (Redshift, AWS, etc.)
• Quantitative educational background (preferred advanced degree in Statistics and / or Data Science)
• Experience in a cross-functional team environment with agency experience a big plus
• Strong understanding of contemporary marketing analytics, advertising technology and research techniques, as well as an innovative vision on how the practice should evolve to keep pace with the ever-changing marketing environment
• Strong critical thinking and problem-solving skills - a demonstrated ability to mine data for relevant and actionable insights
• Solid written and verbal communication skill with ability to communicate/translate complex concepts to non-technical audience
• Understanding and experience with digital media buying, KPI development, and technology practices during campaign planning and execution
• Demonstrated experience with programmatic audience buying concepts and execution
• Strong attention to detail to ensure that data anomalies/mistakes are caught prior to delivery of the analysis to the client teams
• Outgoing and able to integrate with fast-paced planning and activation teams
• Able to cultivate excellent relationships with clients and technology partners
• Ability to meet deadlines in a fast-paced environment