Data Scientist

Contenu de l'offre Data Scientist chez Kinesso

Who we are:

Kinesso brings together the best minds in data, technology, and media activation to deliver seamless data-driven marketing solutions. As a technology-enabler, Kinesso powers marketing systems through a proprietary suite of applications that integrate ad tech and martech. Kinesso’s application framework spans audience, planning, and activation, delivering insights and business outcomes for leading global brands.

Kinesso, comprised of 1,500+ individuals, drives business solutions and augments agency capabilities across IPG’s entire portfolio comprised of 90+ operating units and 50,000+ employees.

Context:

Facing a growing demand for statistical matchings (polls, surveys, customer data, etc.), we want to expand our team by recruiting a data scientist willing to join a computer science team dedicated to the design of calculation engines and data processing and management.

The Role:

The purpose of the data scientist role is to provide data insights and improve the creation of high value audiences for clients leveraging IPG-owned proprietary data assets. This role is responsible for analysing, transforming, harmonising and optimising (imputation of missing values) the data to facilitate and improve our statistical matching process.

Responsibilities:

Reporting to the Tech Lead of Math Engine team, you will be instrumental in:

Analysing and interpreting data, identifying patterns using statistical techniques and providing insight reports;Harmonising disparate data sets;Enriching data by imputing the missing values;Developing key indicators of data quality;Proactively seeking opportunities to improve the current process;Building innovative models and new products using AI techniques.

Who you are:

To be considered for this exciting role, you will possess:

3+ years proven experience as a data scientist.Experience using statistical programming languages, libraries, or packages for analysing large datasets, e.g. R, Python.Experience with the following statistical and predictive modelling approaches: Gaussian process, Markov models, hierarchical clustering, K-means, linear regression, logistic regression, multitouch attribution, Bayesian approach, Monte Carlo simulation, etc.Experience with ML and AI.Experience with large data sets, specifically media consumption data.Experience with data interrogation, manipulation and extraction using SQL/R/Python applied to large databases.Experience with Media Analytics desirable.Strong analytical skills with the ability to organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy.Ability to project manage and prioritise against multiple deadlines.Ability to work within a team environment is essential.MS in Mathematics, Econometrics, Computer Science, Statistics

What's in it for you?

Work with the largest consumer data sets in the world;Fun and inclusive company culture;Fast paced environment;Very flexible working opportunities;Superb career development and future opportunities.

If this sounds like you, we'd love to discuss how this role can be the next step in your career.

Statut : Cadre

Type d'emploi : Temps plein, CDI

Salaire : 2 307,00€ à 4 815,00€ par mois

Avantages :

Participation au TransportRéfectoireRTT

Horaires :

Du Lundi au VendrediPériodes de Travail de 8 HeuresTravail en journée

Télétravail:

Oui