Senior Associate Data Science - German speaking Conversant, Inc.
Anzeige vom: 06.06.2024

Senior Associate Data Science - German speaking

Standort:
  • Berlin
Conversant, Inc.

Zusammenfassung

  • Arbeitszeit
    Vollzeit
  • Typ
    Festanstellung
  • Qualifikationslevel
    B Studienberufe

Gewünschte Fähigkeiten & Kenntnisse

Machine Learning
Business Intelligence
Kubernetes
CRM-System
Software-Engineering
START
Market Data
Cloud
CAN
Forecasting
Übersetzungssoftware
Mobile App
CDP
Data Science
Docker
Tableau
SEO
Analyse
Logistik
ETL
Engineering
Adobe-Produkt

Stellenbeschreibung

Publicis Sapient is a digital transformation partner helping established organizations get digitally enabled, both in the way they work and how they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting, and customer experience with agile engineering and problem-solving creativity.As digital pioneers with 20,000 people and 53 offices worldwide, our experience spanning technology, data sciences, consulting, and customer obsession - combined with our culture of curiosity and relentlessness - enables us to accelerate our clients' businesses through designing the products and services their customers truly value. Publicis Sapient is the digital business transformation hub of Publicis Groupe. For more information, visit publicissapient.com.



Ihre Aufgaben


In this role, you will help to drive the Data Science practice and play a critical role in helping advance the application of advanced data analytics and machine learning as a core building block for our market offerings. Assist in the project delivery for machine learning work, focusing on how the customer experience and understanding can be improved to help our clients' business growth ultimately.Further, you will partner with individuals in various divisions, industries and geographies to ensure that increasingly more solutions we bring to the market are data and insight-driven while helping identify new business opportunities and account growth. Your ImpactCore areas of focus for our Data Science & Analytics group include Customer Analytics (segmentation, behaviour analysis, personalization, recommender systems, forecasting) leveraging 1st party, 3rd party and various kinds of external dataAnalyses of large data sets and applied insights to help create personalized customer experiences across multiple sectors in digital environmentsYou'll consult with clients to define business problems and advise on how to apply data analytics, business intelligence and machine learning to solve themYou'll identify new opportunities within the Data Science & Analytics space and build analytics solutions hands-onYou'll have a strong focus on customer analytics, diving deep into 1st and 3rd party data to measure, analyze and activate digital customer behaviourYou'll build comprehensive dashboards for business users and management levels to generate data-driven insights for their businessesYou'll employ advanced analytics and statistical methods to prepare and analyze data for (predictive) modelling, from prototypes to production (advanced segmentation, hyper-personalization, recommenders etc.) with a focus on but not limited to customer data (also vehicle data, product data, POS data etc.)You'll help us establish standards in statistical analysis, machine learning, and data visualization to ensure consistency across projects and teams, as well as prepare reports and presentations for relevant stakeholders (client side & internal)



Ihr Profil


Set Yourself Apart WithExperience in data-driven marketing, campaign development, measurement, and optimization, Martech, CDP etc.Understanding of data (management) platforms (CDP, CRM, DMP, Big Data Lakes, Cloud) and tools (ETL, Processing, marketing automation etc.)Experience in production environments for Machine Learning products incl., knowledge of the tools that a needed for model deployment and lifecycle management in ML engineering (Docker, Kubernetes)Technical knowledge of web/app tracking solutions (e.g. Adobe/Google Analytics), data visualization tools (Tableau & Power BI)Knowledge of software engineering principles & deployment methods (preferably in cloud environments)Industry experience in the Automotive, Healthcare, Logistics, Financial Services or Energy & Commodities sectorFluent in German (verbal and written, business environment, complex concepts) and English

Profil

Fachliche Voraussetzung

  • Account Development, Adobe, Analyse-Tools, Automobilindustrie, Beratung, Big Data, Business Development, Business Intelligence, Business Marketing, Cloud Computing, Dashboards, Data Analysis, Data Science, Datenmanagement, Datenvisualisierung, Docker, ETL, Energietechnik, Erdkunde, Erstellung von Reports, Finanzen, Forecasting, Google Analytics, Ingenieurwesen, Kampagnen, Kubernetes, Kundenanalyse, Kundenbeziehungsmanagement, Kundendatenmanagement, Kundenerfahrung, Lifecycle Management, Logistikprozesse, Machine Learning, Marketing-Automatisierung, Medizinische Versorgung, Messsysteme, Modellierungsfähigkeiten, Personalisierung, Power Bi, Predictive Analytics, Product Information Management, Projektlieferung, Prototyping, Präsentationen, Recommendersysteme, Softwareentwicklung, Stakeholder Management, Statistiken, Tableau, Technisches Geschick

Persönliche Fähigkeiten

  • Analytisches Denken

Sprachkenntnisse

  • Englisch

Berufserfahrung

  • Mit Berufserfahrung

Bewerbung

    Branche:

    Medien / Kommunikation

    Arbeitgeber:

    Conversant, Inc.

    Adresse:

    Conversant, Inc.
    Winsstr 12
    10405 Berlin

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