Les métiers de l'e-réputation | 2è épisode
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SOCIAL MEDIA ANALYSTE SECTEUR (MARKET RESEARCH)
The Social Media Market Research Analyst plays a critical role among the ListenLogic Research & Insights team. The Research Analyst’s primary responsibility is to develop compelling and creative analyses that provide actionable insights based on observed social media content and online behaviors.
The ideal candidate must:
- Possess a highly developed understanding of social media and online technologies
- Possess both knowledge and curiosity regarding consumer behavior
- Understand and be able to speak about brands with a sense of ownership
- Be able to apply qualitative and quantitative techniques to interpret findings based on social media data
- Be able to visually communicate qualitative and quantitative findings in written reports and presentations
- Identify and explain observed trends and patterns
- Be able to understand a diverse array of client business objectives across all departments
- Communicate and interact appropriately with cross-disciplinary client and internal teams
- Possess exceptional presentation skills
- Have strong business writing skills
- Be able to adapt quickly to scheduling needs and deadlines within a fast-paced, entrepreneurial environment
- Quickly learn and own online languages and vocabularies, including abbreviation and acronym sets
Exceptional candidates will:
- Be able to develop innovative analysis techniques that enhance social media market research
- Demonstrate expertise in visual communication and design
Requirements:
- Mac proficiency
- Above average proficiency with Excel, Word, and PowerPoint
- At least 2 years of professional work experience
- Bachelor’s Degree
This is a full-time opportunity offering a competitive benefits package.
The Social Media Pharmaceutical & Healthcare Research Analyst plays a critical role among the ListenLogic Health Research & Insights team. The Analyst’s primary responsibility is to develop compelling and creative analyses that provide actionable insights based on observed social media content and online behaviors. This is an entry-level position.
The ideal candidate must:
- Possess a highly developed understanding of social media and online technologies
- Possess both knowledge and curiosity regarding pharmaceutical & healthcare industries
- Understand and be able to speak about brands with a sense of ownership
- Be able to apply qualitative and quantitative techniques to interpret findings based on social media data
- Be able to visually communicate qualitative and quantitative findings in written reports and presentations
- Identify and explain observed trends and patterns
- Be able to understand a diverse array of client business objectives across all departments of pharmaceutical & healthcare companies
- Communicate and interact appropriately with cross-disciplinary client and internal teams
- Possess exceptional presentation skills
- Quickly understand and be able to discuss diseases and treatments
- Have strong business writing skills
- Participate appropriately in client meetings, including kick-off and status meetings
- Be able to adapt quickly to scheduling needs and deadlines within a fast-paced, entrepreneurial environment
- Quickly learn and own online languages and vocabularies, including abbreviation and acronym sets
Exceptional candidates will:
- Be able to develop innovative analysis techniques that enhance social media market research
- Demonstrate expertise in visual communication and design
Requirements:
- Mac proficiency
- Above average proficiency with Excel, Word, and PowerPoint
- At least 2 years of professional work experience in a pharmaceutical or healthcare setting (client side or agency) or similar
- Bachelor’s degree
This is a full-time opportunity offering a competitive benefits package.
The Social Media Pharmaceutical & Healthcare Research Analyst plays a critical role among the ListenLogic Health Research & Insights team. The Analyst’s primary responsibility is to develop compelling and creative analyses that provide actionable insights based on observed social media content and online behaviors. This is an entry-level position.
The ideal candidate must:
- Possess a highly developed understanding of social media and online technologies
- Possess both knowledge and curiosity regarding pharmaceutical & healthcare industries
- Understand and be able to speak about brands with a sense of ownership
- Be able to apply qualitative and quantitative techniques to interpret findings based on social media data
- Be able to visually communicate qualitative and quantitative findings in written reports and presentations
- Identify and explain observed trends and patterns
- Be able to understand a diverse array of client business objectives across all departments of pharmaceutical & healthcare companies
- Communicate and interact appropriately with cross-disciplinary client and internal teams
- Possess exceptional presentation skills
- Quickly understand and be able to discuss diseases and treatments
- Have strong business writing skills
- Participate appropriately in client meetings, including kick-off and status meetings
- Be able to adapt quickly to scheduling needs and deadlines within a fast-paced, entrepreneurial environment
- Quickly learn and own online languages and vocabularies, including abbreviation and acronym sets
Exceptional candidates will:
- Be able to develop innovative analysis techniques that enhance social media market research
- Demonstrate expertise in visual communication and design
Requirements:
- Mac proficiency
- Above average proficiency with Excel, Word, and PowerPoint
- At least 2 years of professional work experience in a pharmaceutical or healthcare setting (client side or agency) or similar
- Bachelor’s degree
This is a full-time opportunity offering a competitive benefits package.
COMMUNITY MANAGER
le « community management » qui va recouvrir
l’ensemble des actions de communication /
discussion / échange avec une communauté
déjà existante à animer et à développer ou en
cours de création.
SOCIAL MEDIA STRATEGIST
SOCIAL MEDIA MANAGER
> cote annonceur
SERVICE MARKETING
SERVICE CLIENT
SERVICE JURIDIQUE
> cote outil (technologie)
BIG DATA ENGINEER
We are looking for a highly motivated, creative software engineer to design and develop massively parallel applications and systems.
ListenLogic is the leading provider of social business intelligence that helps Global 1000 companies manage risk, engage with customers and drive innovation. We are working on very innovative solutions for challenging problems in the areas of streaming, real-time, large data visualization and interaction.
We collect 100’s of millions of data snippets daily, from social networks, blogs, forums, and news sites. We classify, index and store these 100’s of millions of items per day in real time, with average latency times of 40 milliseconds. Our classification system makes use of lexical, semantic, and statistical classifiers. These filters continuously adapt and evolve through the use of innovative machine learning techniques.
Simultaneously, we extract author and publisher information. We harvest and augment demographic information using sophisticated text and image analysis algorithms. It’s all about fast, real-time data processing, and big data storage. Supercomputing, multi-level systolic pipelines, map-reduce beyond the capabilities of Hadoop. Stochastic cloud resource scheduling, dynamic process migration, 1000’s of cpus, terabytes of memory, petabytes of storage.
Candidates applying for this position must have experience with distributed systems and parallel (multi-threaded, multi-process, multi-system) programming Candidates must have an in-depth understanding of computer systems architecture, inter-process communication and synchronization.
Experience with the following technologies is desirable:
- C/C++
- Parallel Programming in symmetric multiprocessor systems and message-passing systems
- Global process communication and synchronization
- Global state consistency models
- Big Data scalable storage
- Big Data scalable processing
- Ruby, Ruby on Rails
- Scalability and Availability
- System Design, Troubleshooting
- TCP Sockets, data streaming
- Databases, MySQL (or similar)
- Database Performance, Caching
DATA HARVESTING ENGINEER
We are looking for a highly motivated, creative software engineer to design and develop high performance, scalable data harvesting systems.
ListenLogic is the leading provider of social business intelligence that helps Global 1000 companies manage risk, engage with customers and drive innovation. We are working on very innovative solutions for challenging problems in the areas of streaming, real-time, large data visualization and interaction.
We collect 100’s of millions of data snippets daily, from social networks, blogs, forums, and news sites. We classify, index and store these 100’s of millions of items per day in real time, with average latency times of 40 milliseconds. Our classification system makes use of lexical, semantic, and statistical classifiers. These filters continuously adapt and evolve through the use of innovative machine learning techniques.
Simultaneously, we extract author and publisher information. We harvest and augment demographic information using sophisticated text and image analysis algorithms.
It’s all about fast, real-time data processing, and big data storage. Supercomputing, multi-level systolic pipelines, map-reduce beyond the capabilities of Hadoop. Stochastic cloud resource scheduling, dynamic process migration, 1000’s of cpus, terabytes of memory, petabytes of storage.
Candidates applying for this position must have experience with distributed systems and parallel (multi-threaded, multi-process, multi-system) programming.
Experience with the following technologies is desirable:
- Ruby
- Data Crawling systems
- Web 2.0, DOM
- HTML5
- Distributed and parallel programming, synchronization, high performance programming
- Scalability and Availability
- System Design, Troubleshooting
- TCP Sockets, data streaming
- In-depth understanding of MySQL (or similar)
- Database Performance, Caching
DATA MINING SCIENTIST
We are looking for a highly motivated, creative Data Mining Scientist to design and develop highly parallel information extraction algorithms and systems.
ListenLogic is the leading provider of social business intelligence that helps Global 1000 companies manage risk, engage with customers and drive innovation. We are working on very innovative solutions for challenging problems in the areas of streaming, real-time, large data visualization and interaction.
We collect 100’s of millions of data snippets daily, from social networks, blogs, forums, and news sites. We classify, index and store these 100’s of millions of items per day in real time, with average latency times of 40 milliseconds. Our classification system makes use of lexical, semantic, and statistical classifiers. These filters continuously adapt and evolve through the use of innovative machine learning techniques.
Simultaneously, we extract author and publisher information. We harvest and augment demographic information using sophisticated text and image analysis algorithms.
It’s all about fast, real-time data processing, and big data storage. Supercomputing, multi-level systolic pipelines, map-reduce beyond the capabilities of Hadoop. Stochastic cloud resource scheduling, dynamic process migration, 1000’s of cpus, terabytes of memory, petabytes of storage.
Candidates applying for this position must have experience with distributed systems and parallel (multi-threaded, multi-process, multi-system) programming Candidates must have an in-depth understanding of data mining algorithms and statistical modeling.
Experience with the following technologies is desirable:
- C/C++
- Data mining methodologies
- Statistical Modeling
- Big Data scalable storage
- Big Data scalable processing
- Ruby, Ruby on Rails
- Scalability and Availability
- System Design, Troubleshooting
- TCP Sockets, data streaming
- Databases, MySQL (or similar)
- Database Performance, Caching
MULTI LANGUAGE ONTOLOGIST
We are looking for a highly motivated, creative multi-language data analyst and ontologist to create semantic classification models in European and Asian languages.
ListenLogic is the leading provider of social business intelligence that helps Global 1000 companies manage risk, engage with customers and drive innovation. We are working on very innovative solutions for challenging problems in the areas of streaming, real-time, large data visualization and interaction.
We collect 100’s of millions of data snippets daily, from social networks, blogs, forums, and news sites. We classify, index and store these 100’s of millions of items per day in real time, with average latency times of 10 milliseconds. Our classification system makes use of lexical, semantic, and statistical classifiers. These filters continuously adapt and evolve through the use of innovative machine learning techniques.
Simultaneously, we extract author and publisher information. We harvest and augment demographic information using sophisticated text and image analysis algorithms.
It’s all about fast, real-time data processing and big data storage. Supercomputing, multi-level systolic pipelines, map-reduce beyond the capabilities of Hadoop. Stochastic cloud resource scheduling, dynamic process migration, 1000’s of cpus, terabytes of memory, petabytes of storage.
The Job
- Design of conceptual filters for data classification in multiple languages.
- Discovery and analysis of emerging sub-languages (web/texting jargon).
- Training of statistical classification models for multi-language information cluster
discovery.
Qualifications
- Degree in a Language Studies field or Symbolic Systems.
- Complete fluency in at least one foreign language.
- Understanding of ontology management.
- Experience using computer systems for language analysis.
Olivier Baillet
Retrouvez le profil complet d'Olivier Baillet
