Associate Data Scientist

Descrizione del lavoro:

We're a leading online reviews platform, free and open to all. Our mission is to be a universal symbol of trust. We are well on our way - but there's still an exciting journey ahead of us. Do you want to join us at the heart of trust?

We are looking for several Associate Data Scientists to join our Trust and B2C teams in Copenhagen. You and your team will work within a focus area to develop, deploy, and maintain innovative models at scale, alongside a cross-functional team of software developers, product managers, ML engineers, and designers. You will have the opportunity to collaborate widely across the business with our Technology and Product teams and also stakeholders in Legal and Platform Integrity.
Trust
A core value proposition of (COMPANY NAME) is Trust. We work hard to ensure that our platform has genuine content from real people with real experiences. That means eliminating fake reviews and acting on signs of suspicious behavior to protect our platform from fraudulent activity. Our Trust Applied AI team's mission is to use advanced modeling to safeguard the integrity of online reviews, and we have several cross-functional teams devoted to Trust where Applied AI is integral to achieving our goals.
B2C
The B2C team focuses on delivering the best user experience and value to our consumers-the people who read and write reviews on (COMPANY NAME).com. This area is filled with opportunities for innovation and impactful features. These include anything from facilitating the easy evaluation and comparison of businesses through AI-powered summaries of review texts, to assisting consumers discover new companies with personalized recommendations, to empowering them to write higher-quality reviews by suggesting contextually relevant topics.

To succeed in this role, you should have proven experience in developing and deploying ML models, and/or a proven history of academic achievements. You need a strong technical foundation and hands-on experience in all stages of data preparation, exploration, and modeling. An adaptable mindset and understanding of the interface between Applied AI and engineering are essential as you will be working in cross-disciplinary teams. Experience with deploying solutions into production will be valuable, as you will be responsible for implementing end-to-end solutions-from data preprocessing to serving predictions.

What you will do:
* Be hands-on in delivering the Applied AI / Data Science component of key strategic projects for our Trust and B2C initiatives, from building and fine-tuning language models to sequence modeling, anomaly detection, collaborative filtering, user segmentation, etc.
* Develop, maintain, and deploy production-ready ML models, with tooling support from ML engineers
* Engage with both technical and non-technical stakeholders
* Seize the chance to meaningfully influence our business through the latest advancements in Applied AI
* The opportunity to work with leading data engineering technologies including Google Vertex AI tools, Google BigQuery, and AWS, and with leading Data Science tools and emerging technologies for model building and deployment
* Opportunities to develop your career in a friendly, diverse, international team and workplace
* Work within our Trust, Product, and Commercial areas to build models from data that safeguard trust, support great products, deliver insights, and transform our business processes.

Who you are:
* Experience with analytical and quantitative problem-solving using advanced statistical techniques and machine learning methods, e.g. anomaly detection, sequence modeling, classification, and semi-supervised/active learning, as well as deep learning methods (e.g. for language problems and graphs)
* Experience in building and deploying production-ready ML models at scale, and solid data engineering skills (e.g. experience with cloud technologies - we use GCP but experience with AWS or Azure will also be fine)
* Ability in Python and SQL for data manipulation, modeling, and scripting
* Experience in working with large datasets, ideally from tech platforms, e-commerce, or SaaS-type businesses. Knowledge of behavioral data and detecting misbehavior at scale is a big plus
* Knowledge of data pipelining and prior experience with cloud-based ML model deployments is desirable
* Great communication skills - both with technical colleagues and with business stakeholders
* Proven technical experience in a Data Science role, preferably in the technology sector or in a technical consultancy, and/or a high GPA in a relevant field of study (for recent graduates)
What's in it for you:
* A range of flexible working options to dedicate time to what matters to you
* Competitive compensation package + bonus
* 25 days holiday per year, with an extra 5 days holiday allocated after your 1 year anniversary (prorated)
* Two (paid) volunteering days a year to spend your time giving back to the causes that matter to you and your community
* Rich learning and development opportunities supported through the (COMPANY NAME) Academy, LinkedIn Learning and Blinkist
* Comprehensive health package, pension and full access to Headspace, a popular mindfulness app to promote positive mental health
* Paid parental leave
* Newly renovated central office with a laid back vibe and constant buzz of different languages being spoken everywhere you go It's complete with a coffee bar, canteen and table tennis and has a wide variety of refreshments available - you can opt in for breakfast and lunch at an affordable price
* Regular opportunities to connect and get to know your fellow Trusties, including company-wide celebrations and events, ERG activities and team socials
* Opportunity to join the (COMPANY NAME) Social Club for a small monthly fee and attend regular social and leisure activities like go karting, cooking classes and escape rooms
* Employee discounts to restaurants and shops
* Tax Free Travel (DSB)
Still not sure?
We are Open to All, which means we want everyone to feel like they can see themselves at (COMPANY NAME). We're keen to hear about your experiences as well as how you can help to create a fantastic culture for our amazing Trusties. So, don't worry if you're looking at this job description and feel like you don't meet all the requirements, we'd still really like to hear from you!

About (COMPANY NAME)

At (COMPANY NAME), we're passionate about our mission to offer a free and open to all review platform, built on collaboration. For consumers, we're a place to connect with and influence businesses. For companies, we're a platform for progress; a way to improve and innovate by engaging and collaborating with consumers.
We're driven by connection. It's at the heart of what we do. Our culture keeps things fresh -- it's built on the relationships we create. We talk, we laugh, we collaborate and we respect each other. We work across borders and cultures to be a tangible symbol of trust in an ever-changing world. With vibrant office locations all around the world and over 50 nationalities, we're proud to be an equal opportunity workplace with diverse perspectives and ideas.
Our purpose is a tall order, but we keep it real. We're a great bunch of humans, doing awesome stuff, without fuss or pretense.
A successful (COMPANY NAME) future is driven by you -- we give you the autonomy to shape a career you can be proud of. If you're ready to grow, let's go.
Join us at the heart of trust.
(COMPANY NAME) is committed to creating an inclusive environment where people from all backgrounds can thrive and where different viewpoints and experiences are valued and respected. (COMPANY NAME) will consider all applications for employment without regard to race, ethnicity, national origin, religion, gender identity or expression, sexual orientation, neurodiversity, disability, age, parental or veteran status. Together, we are the heart of trust.
(COMPANY NAME) 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