Data Scientist

Data Scientist

Arbetsbeskrivning

About Etraveli Group
We are an innovative and modern organization built on a foundation of e-commerce and travel-technology expertise. We want our customers to experience the world, while we take care of the technology that enables traveling. In addition to having one of the market’s most sophisticated technical solutions for connecting travelers and flights, we’ve partnered with Booking.com (exclusive partnership in Europe), Google Flights, Skyscanner and Kayak. Successful in e-commerce, on the edge of technology development and with vast experience in the travel industry—we are able to offer you the best of three worlds.
Life at Etraveli Group
Depending on how you want to grow we want to listen in on your future career plan. To be able to inspire you to be your best within a fast moving industry we work hard to provide for the best prerequisites to make you feel that you belong together with us on our journey, by giving you a lot of work freedom, time for self studies, having recurring Hackatons, Dev weeks and a lot other fun activities together within the team and across the company to foster a great culture.
We are a happy and open bunch of people who enjoy our work and enjoy working together.
Working with us you get access to resources and great professionals to help grow in your role.
We are playing to win and will be committed to supporting you on your Etraveli-journey.
Do you want to be part of the next step in our growth journey?
In alignment with the growing targets and needs, we are currently on the lookout for a Data Scientist to become part of our tight-knit team in Gothenburg, that closely collaborates with the respective team in Greece. In those teams, we are continuously looking to find new ways of working that decrease complexity and provide the tools for their members to do their best work.
The role
The team Data Science and Research (DSR) at Etraveli Group consists of Data Scientists, Machine Learning Engineers, ML Ops Engineers and Data Engineers. The DSR teams operate within Content Inventorisation, Revenue Estimation and Ticket Pricing, while at the same time, they need to maintain, enhance and grow Data Architecture together with the increase of traffic. To implement new state-of-the-art data pipelines and consolidate our existing solutions, the team is scaling and as our new Data Scientist, there will be the opportunity for you to work with large scale data sets and high performance applications that need to process and assess billions of records a day. This is a challenging environment, where you will get to work with cutting edge ML technology used in production to ensure-among others- optimal Data Flows.
Main responsibilities
To be successful in this role you need to be able to:
Perform data analysis, data mining, and data visualization to identify trends, patterns, and insights from large datasets.
Develop and implement machine learning models and algorithms to solve business problems and optimize processes.
Collaborate with stakeholders to define project objectives, data requirements, and success criteria.
Clean, preprocess, and transform data to ensure its accuracy and integrity.

Ideally, you are also able to:
together with Machine Learning-, Data- and ML Ops Engineers implement the models into our services according to best practices
interpret and communicate findings to both technical colleagues and non-technical stakeholders through reports, presentations and visualizations
stay updated with the latest industry trends, tools, and techniques in data science and apply them to enhance our data-driven capabilities

Requirements
University degree in a STEM discipline. A PhD is meritorious.


Minimum of 3 years of experience as a Data Scientist or similar role in a corporate or research environment.
Strong math skills (e.g. statistics, algebra)
Proficiency in programming Python.
Experience with statistical analysis, data mining, and data visualization libraries (e.g., Pandas, NumPy, Matplotlib, seaborn).
Strong understanding of machine learning techniques and frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
Understanding of time series forecasting techniques is a bonus.
Familiarity with SQL and database querying for data extraction and manipulation.
Excellent command of spoken and written English

The Perks
When working at Etraveli Group you will always feel that you are trusted and that you can rely on others to help you. To work together as a team and feel that you are challenged in a way that helps you evolve within your profession. You will have awesome colleagues together with whom you will solve complex problems in a fast-moving business. But not just that.


What else do we offer?


Office in the City – We are located on Kungsgatan in central Gothenburg, just a stone's throw away from public transport and lunch restaurants.
Conferences – We believe in personal development and continuous education. We continuously organize internal trainings and workshops so that we can learn from each other.
Healthcare allowance – Each employee receives a maximum allowable amount each year according to the Swedish Tax Agency to spend on health-promoting activities such as a gym card, massage etc.
Pension and health insurance – Through partners we offer a comprehensive pension and health insurance so that you can get help quickly in case of an accident.
Hackaton and Dev week – We believe in fostering creativity and testing new things. Therefore, we have recurring Hackaton and Dev weeks where the teams decide what they want to work on.
To kick the day off just right, we serve breakfast at the office every morning.
Welcome to Etraveli Group.

Sammanfattning

  • Arbetsplats: Etraveli Group AB
  • 1 plats
  • Tills vidare
  • Heltid
  • Fast månads- vecko- eller timlön
  • Publicerat: 8 juni 2023
  • Ansök senast: 7 juli 2023

Postadress

Drottninggatan 78
STOCKHOLM, 11136

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