Data Scientist, Trustpilot
Trust & Transparency
+ Bonus
More information about location
Consumer review website
Be an early applicant
Consumer review website
501-1000 employees
Be an early applicant
+ Bonus
More information about location
501-1000 employees
Company mission
To bring people and businesses closer together to create ever-improving experiences for everyone.
Role
Who you are
- To succeed in this role, you should have proven experience in developing and deploying ML models.
- 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 is expected, as you will be responsible for implementing end-to-end solutions—from data pre-processing to serving predictions
- Experience with analysis 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, detecting misbehavior or fraud at scale is a big plus
- Knowledge of data pipelining and prior experience with cloud-based ML model deployments
- Great communication skills - both with technical colleagues and with business stakeholders
- Proven 3+ years of technical experience in a Data Science role, particularly in the technology sector or in a technical consultancy
What the job involves
- We are looking for a Data Scientist to join our Trust team.
- You and your team will work 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. You will also work closely with stakeholders in Legal and Platform Integrity
- Be hands-on in delivering the Applied AI / Data Science component of key strategic projects in Trust, 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 and contribute to the Trust roadmap
- Seize the chance to meaningfully influence our business through the latest advancements in Applied AI and keep Trustpilot on the edge of innovation when it comes to fake review detection
- The opportunity to work with market-standard data engineering and deployment 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
Salary benchmarks
Our take
Fuelled by the rise of the consumer voice, Trustpilot started out from the vision that a brand's future is trust and transparency powered.
Since launching, Trustpilot has over 167 million reviews across the 714,000+ websites on its platform, with new reviews being added every single second. The company works hard to make sure customers are reading reviews based on real experiences and take an active stance in combating fake reviews. This includes forming a partnership with Veriff to offer identity verification services to the community.
Trustpilot earns a majority of its revenue from companies that subscribe to its services. This enables companies to collect reviews at key moments in customer journeys, showcase their reviews elsewhere, and unlock customer insights. The company is entering a new period of growth as it navigates a renewed strategic direction, fuelled by a successful IPO in 2021.
Freddie
Company Specialist
Insights
Some candidates hear
back within 2 weeks
41% female employees
1% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Mar 2019
$55m
SERIES E
Jan 2017
$7m
LATE VC
Total funding: $178.9m
Company benefits
- Maternity & Paternity pay
- Train travel scheme
- '20% time' - work on anything you’d like
- 28 days holiday (excl. bank holidays)
- Work from home opportunities
- Pension and life insurance
- Full access to Headspace
- Regular events and socials
- Health cash plan, online GP, 24/7, Employee Assistance Plan
- And more! (Varies by location)
Company values
- Always With Integrity - We do the right thing, even when nobody’s watching
- Open To All - Everyone is embraced and included for who they are, and what they bring
- Collaborative - We work best when we work together
- Positively Human - We are genuine people that create the Trustpilot family
Company HQ
København K, København
Articles
Leadership
Peter H. Mühlmann
(CEO)Started the company when his parents started shopping online. At the time, they were studying at Aarhus University
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