Data Scientist - Go-to-Market (GTM) Applied AI team

at  Trustpilot

København, Region Hovedstaden, Denmark -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate20 Sep, 2024Not Specified21 Jun, 2024N/AGood communication skillsNoNo
Add to Wishlist Apply All Jobs
Required Visa Status:
CitizenGC
US CitizenStudent Visa
H1BCPT
OPTH4 Spouse of H1B
GC Green Card
Employment Type:
Full TimePart Time
PermanentIndependent - 1099
Contract – W2C2H Independent
C2H W2Contract – Corp 2 Corp
Contract to Hire – Corp 2 Corp

Description:

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?

From reviews to user behaviors to internal systems, at Trustpilot, we truly have big data. Every month, more than half a million new reviews are posted on Trustpilot for thousands of businesses. We have now reached 267 million reviews - and that is growing! - from consumers around the world. Our Data Scientists in the GTM Applied AI team leverage this data to build AI/ML models that improve our go-to-market (GTM) efficiency and enhance our pricing and revenue management strategy.
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.
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.

STILL NOT SURE?

We are Open to All, which means we want everyone to feel like they can see themselves at Trustpilot. 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!

Responsibilities:

  • 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.


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Information Technology/IT

IT Software - Other

Software Engineering

Graduate

Proficient

1

København, Denmark