Data Scientist, Trustpilot
Go-to-Market, Applied AI team
+ Bonus
Consumer review website
Open for applications
Consumer review website
501-1000 employees
Open for applications
+ Bonus
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 AI/ML models to enhance commercial practices
- You have a solid technical background, with hands-on ability in all stages of data preparation, exploration, and modeling
- You must have an adaptable commercial mindset and knowledge of the interface between data science and engineering
- The ability to develop AI/ML solutions, engage stakeholders, and clearly articulate the impact of your work is necessary for this role
- Experience putting solutions into production within an interdisciplinary team is a big plus, and it will be ideal if you also have experience using AI and ML to solve pricing and revenue management problems
- Experience with analytical and quantitative problem solving using advanced statistical techniques and machine learning methods, e.g. Attribution, Segmentation, Churn, Upgrade, Upsell, and Pricing & Packaging
- Experience in building and deploying production-ready ML models, and solid data engineering skills (e.g. experience with cloud technologies - we use GCP but experience with AWS will also be fine)
- Ability in Python and SQL for data manipulation, modeling, and scripting
- You have experience of working with large datasets. Knowledge of the data generated by websites or in the eCommerce sector, behavioral analytics, and experience working with data from commercial systems (e.g. Salesforce) is advantageous
- Knowledge of data pipelining and prior experience of cloud-based ML model deployments is beneficial
- Great communication skills - both with technical colleagues and with business stakeholders
- Proven technical experience in a Data Science role, particularly in the technology sector or in a technical consultancy
What the job involves
- We are seeking a skilled Data Scientist to join our GTM Applied AI team to develop, deploy, and maintain our GTM and Pricing models
- You will collaborate closely with our pricing and monetization squad and team of software developers, data analytics and ML engineers to develop, deploy, and maintain innovative AI/ML models at scale
- You will be part of a unique journey where data, AI, and ML are at the heart of our product and company strategy
- This role offers the opportunity to collaborate broadly across the business, including with our Commercial, Digital Sales, and Applied AI teams, in both B2B and B2C contexts
- You will be involved in delivering some of our most exciting Data Science projects aimed at improving our GTM efficiency and pricing practices: from prediction to ranking, segmentation to NLP, and recommendation systems to content generation
- This is a great opportunity to make a real business impact by applying the state of the art in AI and ML
- You will deliver the Data Science component of key strategic initiatives including owning, maintaining, and deploying production-ready ML/AI models, and analysing data to establish the scope and impact of your work
- You will identify new pricing and monetization opportunities based on data, interpreting model outcomes, and share insights to drive the direction of our business goals
- You will engage with both technical and non-technical stakeholders & will translate business requirements into Data Science deliverables
- 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, innovative, 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
$6.9m
LATE VC
Total funding: $178.8m
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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