Synetiq - Ad performance through emotions | Work at Synetiq
synetiq, neuromarketing, ad tracking, video analysis, advert tracking, biometrical data, data-driven, market research
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Hello friend

Life has been very exciting at Synetiq during the past months: we doubled the team, moved to a cool new office, started building a new product, gained the appreciation of plenty of new clients…

This is the best time for you to join our awesome team if you fancy working with cutting-edge technologies and can imagine spending your days at a fast-growing startup, or if you are interested in the coolest neuromarketing research projects in Budapest.

Synetiq is a leading neuromarketing media research company measuring people’s emotional reactions to media content. We are a cheerful team of engineers, data scientists, researchers, media experts and business professionals providing a solution for broadcasters, agencies and advertisers to better understand their audience.

 

To have a better idea about who we are and how we work, read the blog posts our beloved colleagues: Synetiq: more than a company we work for and #Life at Synetiq or watch this short video made by one of our interns. 

 

We work hard and always aim to deliver the best results. Meanwhile, the team’s happiness remains top priority. Our perks include home office and flexible work hours, office massage, individual leadership coaching, cafeteria for food and leisure, a fridge filled with beers, self-development Friday afternoons, conference participation and learning materials, occasional dinners and fun weekends…

 

We’d be glad to have some more talented people join the team. In case you feel you are a good fit for any of the below positions, then go ahead and submit your application, we’ll be happy to read your thoughts.

Open Positions 

Business Operations Lead

The Business Operations Lead of Synetiq will make sure the company runs smoothly, complies with all legal requirements and that all stakeholders are happy including suppliers, management, investors and the team.

 

Responsibilities will include

  • following the financials of the company,
  • preparing recurring and ad-hoc financial reports,
  • building the company’s business plan,
  • assessing periodic accounts and facilitating audit processes,
  • revising contracts,
  • writing and enforcing company policies,
  • doing market research,
  • proactively preparing and advising business transactions,
  • being involved in hiring,
  • mentoring a small team.

 

This is a unique opportunity for someone with a broad range of expertise and still willingness to learn. The Business Operations Lead role requires an exciting mix of skills covering finance, business planning, legal compliance, people operations and management.

 

Hard requirements

  • minimum 3 years relevant work experience
  • thorough business administration knowledge
  • understanding of the Hungarian accounting and corporate tax systems
  • affinity to handle legal matters
  • familiarity with startup financing concepts and terminology
  • English and Hungarian fluency
  • spreadsheet/excel mastery
  • precision

 

Additionally, we appreciate experience in

  • M&A deals
  • interviewing, people operations
  • entrepreneurship
  • marketing

 

We’ll appreciate your hard work for which we offer you to

  • face exciting challenges in your work
  • learn a lot, have opportunity for weekly self-development sessions
  • have flexible work hours, home office
  • enjoy nice compensation and benefit package
  • become member of an awesome team and part of an extraordinary startup story

Lab Assistant

Part-time | Few days each month

If you are interested in the world of media, marketing, psychology or biological sensors and you have the time to work with us on multiple days a week during our monthly measurement weeks press the application button!
Recommended for students or job seekers

 

Expectations:
  • steady English and Hungarian knowledge
  • exactitude
  • reliability
  • good communication, people skills

 

Advantages: psychophysiology, media or market research experience

More details of the position in the application form 😏

Areas of interest

In case you find nothing relevant for your expertise in our open positions section,  feel free to tell us why and in which field you would be a good fit for the team 😉

We’ll be in touch as soon as the opportunity comes!

Engineering

#dataengineer, #datascientist, #machinelearning, #ai, #python, #googlecloud, #bigdata

Media Analyst

#videoanalysis, #brands, #engagement, #dataviz, #reports

Customer service, sales

#brands, #marketingtech, #adtech, #businessdevelopment, #customeraquisition

Business Operations

#team, #HR, #business plan, #invoices, #finance, #office, #events

Data Science internships

Synetiq has a large dataset of videos and triggered human responses, even emotions. We are always improving our products with exciting features, and we would appreciate a motivated new colleague to explore some new opportunities.

We expect a highly autonomous candidate that can hack things on her own. Besides, supervision and guidance will be provided on daily basis by our skilled tech and research teams.

Synetiq is a leading neuromarketing media research company measuring people’s emotional reactions to media content. We are a cheerful team of engineers, psychologists, researchers and business experts providing a solution for broadcasters, agencies and advertisers to better understand their audience.

We are currently offering four different internship projects:

 

1. Ranking/recommending videos

video recommender

Project description
The proliferation of high speed networks and improvements of data mining techniques have created the possibility for personalized online video advertising. Selecting which video should be presented to each user is still an open challenge.

Scope
Build a ranking/recommender model and training pipeline that applies learning to rank or multi-armed bandit techniques to select the best video for a user or segment. For simplicity, each video is previously encoded as a numerical feature vector.

Skills
Hands on experience with data science techniques in either Python, R or Matlab.
Knowledge of recommender systems or search engines is appreciated.

Seniority
BSc/MSc or demonstrable experience

Start date
Anytime

Length
350 hours (approx 2 months full-time or 4 months part-time)

 

2. Cluster people based on their response profiles

market segmentation

Project description
Clustering is an unsupervised technique that could help unravel meaningful patterns in data. In this specific use case, the applicant will get responses of a survey from thousands of participants. The survey consists of different sub-questionnaires of variable question types.

Scope
The task is to find clusters of testers that would help identifying groups of testers and potentially shorten the length of the survey in the future. We encourage the applicant to use standard techniques (e.g. k-means clustering). The clustering performance is measured on questionnaire data.

Skills
Hands on experience with data science techniques in either Python, R or Matlab or any analytics platform (Knime, Spotfire, Tableau, Rapidminer).

Seniority
BSc/MSc or demonstrable experience

Start date
Anytime

Length
350 hours (approx 2 months full-time or 4 months part-time)

 

3. Predict eye tracking

Bacardi - pack shot.png

Project description
The use of eye tracking devices makes possible the analysis of human attention on images. These methods are not scalable, hence predicting where humans are looking at based only on the video content has a big potential.

Scope
Build a model and training pipeline that generates the expected heatmap of attention based only on the pixels of the image.

Skills
Hands on experience with deep learning techniques in either Python, R or Matlab.
Hands on experience with computer vision and CNNs.

Seniority
MSc or demonstrable experience

Start date
From 1st of July 2017

Length
350 hours (approx 2 months full time)

 

4. Aesthetics index implementation by machine learning

asthetic index (2)

Project description
Aesthetics is an important factor in advertising business.  We invite the applicant to develop a solution that helps the quantification of aesthetic factors. Neuroscience research tells that people like symmetric faces and faces that do not deviate too much from the population average face.

Scope
The task will be based on this and similar results and will include face recognition and facial feature extraction. We encourage the applicant to identify facial landmarks either by HOG, Haar cascade classifiers and/or deep neural networks.

Skills
Hands on experience with data science techniques in either Python, R or Matlab.
Hands on experience with computer vision and CNNs.

Seniority
MSc or demonstrable experience

Start date
Anytime

Length
350 hours (approx 2 months full-time or 4 months part-time)

Apply to one of these data science internships by specifying which of the 4 you are interested in:

Other

In case you couldn’t find any relevant fields for your expertise, worry you not, use this general application button and tell us why and in which role you would be a good fit for the team. We’ll be in touch as soon as the opportunity comes.