Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowFirst seen 2 days ago

Senior Data Scientist (Maternity cover)

global-e/62.00249 open roles

Where
Ireland, Dublin
Work mode
On site
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowSenior Data Scientist (Maternity cover)global-e/62.002 · Ireland, Dublin

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on global-e/62.002's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market. global-e/62.002 postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: first seen 2 days ago

global-e/62.002 median: 1 days open

The posting

Global-e (Nasdaq: GLBE) is the world’s leading platform for global direct-to-consumer e-commerce, enabling brands and retailers to seamlessly sell worldwide, delivering localized experiences across markets.

Trusted by some of the world’s most recognized brands including Adidas, Alo Yoga, Logitech, Hugo Boss, Marc Jacobs, and Victoria’s Secret, we operate on a massive global scale through dynamic teams across North America, EMEA, and APAC.

Our technology-based end-to-end solution combines advanced localization capabilities, streamlined global operations and extensive big-data analytics, covering everything merchants need to scale worldwide. We’re a fast-moving, highly collaborative company where innovation, creativity, ownership, and impact are part of everyday work.

We are looking for a Senior Data Scientist to join our classification team. A critical component to enabling cross-border is delivering seamless clearance through customs. This is also an incredibly challenging problem where Global-e has radically changed the industry by delivering the world's first machine learning-based, highly accurate classification system that replaces the need for people to inspect and classify individual products. This capability enables our clients to ship goods from anywhere in the world to anywhere in the world directly from their stores and fulfillment centers, keeping customers happy with fast and seamless delivery.

Main Responsibilities:

  • Research, design, maintain, and evolve the company's machine learning models to support the world’s fastest and most accurate classification and restriction systems for cross-border trade.
  • Develop, fine-tune, and deploy Large Language Models (LLMs) to enhance classification accuracy and automation capabilities.
  • Engage in both exploratory data analysis to identify trends and formulate modeling approaches to solve problems
  • Use model outputs to deliver both short-term commercial impact and longer-term business value and customer experience
  • Partner closely with product, engineering and other business leaders by providing consulting and analytic services that help influence product decisions with data
  • Document clear insights and analysis for stakeholders to understand and take actions accordingly
  • Continuously evaluate model performance and drive iterative improvements to enhance accuracy and effectiveness
  • Help cultivate a culture of experimentation through sharing of best practices and trainings

Requirements

  • At least 5 years of experience in data science, solving real-world problems, and using modern technologies to develop ML models.
  • Experience with the full lifecycle of a data product - ideation to productionizing and iterating.
  • Experience with training, fine-tuning, and deploying LLMs, as well as applying state-of-the-art architectures to domain-specific challenges.
  • Experience with NLP algorithms and approaches and their applications to taxonomies, recommendations, and search domains.
  • Solid programming skills to code, build, and test models.
  • Knowledge of and appetite for mathematical principles that are the foundation of ML methods.
  • Familiarity with transformer-based architectures (e.g., BERT, GPT) and their application to classification and predictive modeling.
  • Experience in optimizing and scaling deep learning models for real-world deployment in production environments.
  • Strong data visualisation skills
  • Excellent communication skills, both written and verbal; the ability to convey your message to team members and other stakeholders
From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against global-e/62.002's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on global-e/62.002's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    global-e/62.002's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.