Senior Data Scientist - Content

Welcome to our fabulous world(e)🍴We are TheFork(e)Our mission is to bring happiness through amazing dining experiences, thanks to our 3 main products:  

📱 TheFork App: the restaurant discovery and booking app for every occasion 

🖥️ TheFork Manager: the tool to digitize restaurant operations and be in full control of your business 

💳 TheFork Pay & gift cards: the new and amazing dining payment experience 

Creator of a unique model that disrupted the restaurant industry 15 years ago, we are now the leading dining platform across Europe and Australia(e)We are experiencing an exciting period of growth, and we need the greatest folks onboard(e)Together, we will make our wildest dreams come true! We strongly believe that our mission can only be achieved if we also bring happiness to our working environment(e)We do this by providing a flexible, multiculturaland positive environment where each individual has the space to grow. 

We nurture this happy culture through our core values: We are better together -We act like an owner - We genuinely care for our users and customers - We believe in transparency - We never stop learning - Speed wins 

Oh! And we are also part of the big Tripadvisor family ❤️ 

With love, 

Your future buddies, the Forkies. 

What you will do:

As a Senior Data Scientist, you will be part of the Data team, which is a transverse organization having a major role to support our Business.

You will report to the Data Science Manager and be part of a team of ~40 People including Data Engineers, Data Analyst, Web Analysts, Product Owners…

The Data Team has 3 missions : 

• Accelerate the Business thanks to data and insights
• Support company transformation towards a Data-driven Culture
• Develop a valuable and actionable data asset

As a key player of our Data Science team currently composed of 5 people, you will take ownership of the Data Science topics involving our content (text and images), on which you will partner with Business teams, product & engineering and other Data team members to help them accelerate their strategy and related projects thanks to data science.

 

Your Business-Data Domain(s) will mainly focus on TheFork B2C Product (website / app).  You will develop a deep understanding of TheFork value proposition for B2C customers and business operations to serve them (Product, CRM, Customer support, etc)  in order to deliver best in class data products involving NLP / Computer Vision.

 

Example of projects you could be involved in : 

• Identify from restaurant reviews the underlying topic(s) and sentiment(s)
• Classify restaurants photos and leverage these information to create new features in our product
• Automatic tagging of restaurants using their menu, description, reviews etc…
• Help mission teams (yield management, smart supply, personalization…) to take advantage of textual data to answer specific business issues

The expected outcomes of your role are:

 

• High business value for Data Science projects involving NLP/CV in production
• Be part of the content mission team to work on impactful projects involving NLP/CV and delivered in production
• Help other mission teams when they have to deal with topics around NLP/CV
• You’ll work with business teams, data stakeholders (Data Scientist, ML Engineers, Data Analyst…) and Product and Engineering teams in order to deliver well shaped, monitored and actionable projects that involve NLP/CV for end users.

 

• Scalable and performant assets

• All the assets produced to deliver these projects should be scalable, performant and cost efficient(e)Anyone in the team could be onboarded quickly and maintenance costs should be low

 

• Bring the Data Science team to the next level
• Data Science team upskilled around NLP/CV and Deep Learning
• Data Science team organization and technical stack improved in order to support the team growth and new projects requirements

 

•  Grow our knowledge about supply and demand related textual data
• Have a deep understanding around demand and supply related data (reviews, menu, surveys, customer care cases…)

 

Who are you

• You are working in an autonomous, proactive and accountable way: you don’t wait to be told what to do.
• You demonstrate an obsession towards excellence: you systematically consider that good is not enough and constantly consider how to improve and reach the next level of quality, performance and impact
• You play agile and fast: delivering in a fast-paced environment is an easy business for you(e)You are comfortable to manage several topics in parallel, with different stakeholders involved.
• You bring the outside in: seeking excellence, you have developed habits to benchmark and consider how other companies are doing, what best practices could be source of inspiration and systematically consider how they can apply in your specific business context
• You act as a team player, communicating efficiently and thinking collectively rather than individually (you can see the value bring by these collective concerns)
• You have a Master’s Degree of an Engineering School with a specialization in mathematics, computer science or Data Science / a PhD in mathematics, physics or computer science
• You have at least 5 years of experience as a Data Scientist (at least 2 years for a PhD) and you’ve delivered in production Data projects involving state of the art NLP and/or CV approaches
• You have excellent analytical skills, involving data analysis and modeling, you are able to modelize complex problems, find the best insights in large datasets and summarize findings in a clear and actionable way
• You have a deep knowledge and industry experience in Deep Learning + NLP and/or CV
• You have an excellent proficiency in Python and SQL in order to develop POCs and work on projects industrialization with ML Engineers
• Knowledge of MLops best practices would be appreciated
• Experience with AWS is a nice to have
• Your English is professional

What we offer you  

😄 An awesome team (not everybody like our jokes, but we try our best) 

🏠 A Permanent contract (that can be useful in life) 

⚖️ Flexible working environment (2 days home office per week) 

💚 Complementary time off to spend with your loved ones 

💸 Competitive fixed salary, bonus and equity (yes, equity!) 

🍕 Lunch vouchers available for each working day (because yes, we like to try our best restaurants)  

🌎 International teams - More than 30 nationalities and 16 offices worldwide 

🏳️‍🌈 Highly inclusive working environment 

🤸‍♀️ Lifestyle benefits that can be used to reimburse physical, leisure activities, family support, travel etc 

🎓 Continuous learning and development programs (with full access to LinkedIn Learning!) 

👶 Financial benefits in the events of a birth, adoption, pacs, or wedding  

😌 Free access to the Calm app  

🏡 Housing assistance plan to help find accommodations, or with repairs for your home 

🏥 72% of health insurance fully covered by the company 

👩‍🦽 Life Insurance and Disability at no cost to the employee  

🍴 Amazing offices with dining, coffee point on each floor, and leisure area    

🎤 Team building events (we love karaoke(e)A lot(e)A lot.) 

 

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