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Lead Data Scientist

Creata il 21-02-2020
Location Copenhagen

Descrizione

Are you a data science specialist? Do you have experience in constructing complex models from scratch and deploying ML models at scale? Do you enjoy coaching, mentoring and leading others in your field? If yes, then you might just be the Lead Data Scientist that we are looking for!



Every month, half a million new reviews are posted on Trustpilot for thousands of businesses in our review community. We have now reached 75 million reviews - and growing! - from consumers around the world. With this rapid growth also comes a massive amount of data, from which our Data Scientists build models that enhance our commercial practices and help our product teams build great features. 



We are seeking a Lead Data Scientist to join us in our Data & Analytics function, working with departments across Trustpilot including Product, Content Integrity, Commercial and Engineering to construct, deploy and maintain models at scale, and to manage and mentor a small number of Data Scientists. To succeed in this role you should have a strong technical background as a Data Scientist, the proven ability to drive forward good working practices, knowledge of the interface between data science and engineering, the ability to engage with and influence stakeholders, and the ability to inspire and motivate others.



The Role    


As Lead Data Scientist your focus will be on how we use and apply data science within the organisation to make data science a key part of our growth. You will ensure that our processes for creating and deploying production-ready ML models are best-in-class and that we remain up to date with the latest tools and techniques. You will use your analysis, modelling, text mining, and data engineering skills to uncover new knowledge and help identify new opportunities from data, constructing complex models whilst explaining them in simple terms. You will take the technical lead on some of our most exciting Data Science projects and you will be responsible for people leadership: managing and mentoring more junior team members. You will be part of Trustpilot’s mission to be an industry leader in the use of advanced modelling for safeguarding online content integrity.



You will be part of a specialised team that expects you to bring not just your Data Science experience but also great ideas and a positive mindset. In return, we offer you the opportunity to work with leading data technologies including Google BigQuery, Airflow and AWS. You will work with multiple sources of data from our product and commercial systems and will have the opportunity to work across many areas of our business, from product to commercial to content integrity. The types of projects that you can expect to be involved in range from scoring models to natural language processing to pattern recognition. You’ll be joining a friendly, international, team of like minded people in central Copenhagen. 



About You


  • You have a minimum BA/BSc degree in Statistics, Mathematics, Physics, Computer Science or related quantitative degree. A MSc or PhD is preferred
  • You thrive in a dynamic environment and have extensive experience with analytical and quantitative problem solving using advanced statistical techniques
  • You have experience in building and deploying ML models at scale, and very strong data engineering skills
  • You love technical work but also love coaching other people
  • You are skilled at identifying the best modelling approach to suit any given problem, and never apply a ‘one size fits all’ mindset to ML
  • You are an expert in Python, R & SQL for data manipulation, modelling and scripting
  • You have experience of working with large datasets. Knowledge of the data generated by websites or in the eCommerce sector, behavioural analytics/fraud detection, and experience of working with data from commercial systems (e.g. Salesforce) is a big plus
  • You have knowledge of data pipelining (e.g. via Airflow). Prior experience of cloud-based ML model deployment is a must
  • You are a great communicator - both with technical colleagues and with business stakeholders
  • You have the ability to work independently and to prioritise tasks and requests in line with business priorities for yourself and your team
  • You have 5+ years of relevant technical experience in a Data Science role, preferably in the technology sector or in a technical consultancy
  • You have prior experience in a manager/team lead role

We offer


  • "20% time" - be the most innovative you can be and work on anything you like!
  • A key part of an exciting international growth journey
  • Opportunities to learn from the best and develop your career
  • Great colleagues and a core work culture that you can believe in
  • Great location in central Copenhagen or central London

 


Application


If you think this role is made for you, please send us your CV and a cover letter telling us why you are perfect for this job. If you have any questions, feel free to reach out to our Tech Recruiter, Ruth Anibaba, at [****] />

 


About Trustpilot


At Trustpilot, we’re passionate about our mission to inspire ever-improving experiences for everyone. Working here is an opportunity to collaborate with talented and dedicated people in a rapidly growing, fast-paced, and agile environment.


With vibrant office locations all around the world and over 40 nationalities, we’re proud to be an equal opportunity workplace with diverse perspectives and ideas.


And let’s not forget the Scandinavian work-life balance we work hard every day, but we also take the time to catch up with colleagues over a game of foosball, a cup of coffee, or maybe grab a beer after work.


Want to know more about Trustpilot culture? Check us out on The Muse


Trustpilot is a global company and our data practices are designed to ensure that your personally identifiable information is appropriately protected. Please note that your personal information will be transferred, accessed and stored globally as necessary for the uses and disclosures stated in our Privacy Policy.

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