You and the process

With a person
Anna, in-house recruiter
9 years hiring engineers
30 minutes with a real recruiter
They read your CV with you, on a call, and say where the offers are being lost.
Didn’t find what you were looking for? Tell us what to build
Early Window: Closes in
Company hidden

Senior Data Scientist

  • Office
  • 6+ years

Salary

Not stated

Similar roles pay €55K - 75K a year · our estimate

AI summary

For members

The whole posting in a few lines. Sign up to read it here and on every role you open.

Sign Up to Read

Description

Working with us, you will have an outstanding impact across HP’s and our customer’s Supply Chain.

You will leverage your skills to avoid scenarios of stock-outs and excessive inventory and ensure that inventory is allocated where and when it will maximize returns.

To do so, you will oversee and support a team of 4 Data Scientists and work on designing and deploying highly advanced Machine Learning solutions to forecast future demand at scale, optimize the allocation of inventory and automate the management of the inventory for thousands of products and hundreds of countries.

You will be part of our Artificial Intelligence & Inventory Management team within our Center of Excellence team, you will shape HP’s future of how to solve concrete business problems with the use of data science. We are a very dynamic, highly skilled, and a diverse global team consisting of data scientists, economists, statisticians, computer scientists and engineers, who are pushing the innovation frontier in the way we bring insights to our business.

Responsibilities

  • Oversee work and mentor a team of 4 Junior Data Scientists to ensure we collectively learn and build high-quality Data Science solutions to optimize our Supply Chain and product inventory (mathematical optimization, time series forecasting)
  • Collect requirements from business teams to design and build relevant analytic solutions which will address pain points and drive change in the entire organization.
  • Utilize highly advanced analytical tools and techniques for analyzing data and building statistical models and solutions for the most complex challenges: demand forecasting, capacity allocation and inventory optimization.
  • Improve upon existing analytical pipelines by developing new data signals, researching new algorithms, fine-tuning models, testing, and deploying proposed enhancements to bring excellence to the organization.
  • Be part of internal Data Science training efforts and recruiting initiatives to help us grow a talented team dedicated to Inventory Management.

Requirements

  • We solve complex challenges, on your free time you play problem-solving games.
  • We solve these challenges together, you might as well play a team’s sport like Soccer.
  • We dream big to make an impact at scale, you could also be passionate about Astronomy.
  • We help others, you are empathetic and could be a Data Science instructor.
  • We strive to innovate, you love to read Medium to reinforce your knowledge and participate in Data Science competitions.
  • Experience in the work planning, supervision and mentoring of 1+ junior Data Scientists
  • Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment
  • Master's degree in a quantitative field such as Statistics, Mathematics, Economics, Physics, Engineering, Computer Science, or equivalent
  • 4+ years experience with data querying language (SQL, Pyspark) and statistical/mathematical software such as Python and/or R
  • Knowledge of Github, Databricks, Apache Spark
  • Knowledge of Claude Code/Codex/VS Code Copilot
  • Knowledge of a visualization tool such as Tableau/PowerBI

Benefits

  • Diverse, continued internal growth and career opportunities. Including HP’s own learning platform and LinkedIn Learning.
  • Love sports? Then take advantage of our sports center (indoor and outdoor); gym, squash courts, tennis courts, basketball courts and with 25+ regular coordinated activities/sports
  • Gaming area with HP OMEN’s and Pavilion’s complete gaming line up including Omen gaming chairs and several games both for playing alone, online or multiplayer
  • A Young employee Network (YEN) hosts fun events regularly; such as “beer bust” Fridays at different venues including the beach in the summertime.
  • An attractive benefits package such as Health & Life insurance, Pension plan
  • Work-life balance /flexible working hours
  • LI-Post
  • Job -
  • Data & Information Technology
  • Schedule -
  • Full time
  • Shift -
  • No shift premium (Spain)
  • Travel -
  • Relocation -

Where you’d work

From the office

About the company

Company hidden

Office in Barcelona, Spain

Your chances

Still hiring, not crowded yet, and you'd be among the first.

  • 15 checks run
  • 6 good signs
  • 0 red flags

Still hiring?

10 checks

Actively hiring

In its favour2

  • Still on the company's own careers site, checked 1 h agoModerate evidence
  • Found in the last 48 hours, before the big job boardsModerate evidence

How crowded?

5 checks

Low

In its favour4

  • In its Early Window: not on the big job boards yetStrong evidence
  • In the office in Barcelona: only people nearby can take itSlight evidence
  • Senior level: far fewer people qualifySlight evidence
1 moreFewer
  • Asks for Tableau, which only 1% of open roles doSlight evidence

Fits Me

How well does this role fit you?

Answer a few questions or drop your CV, and every role gets a fit score with the reasons, this one first.

  • Your field
  • Level
  • Stack
  • Work model
  • Salary floor
  • Must-haves
Details11 facts · Role, Location, Compensation, Employment
Tech stack
  • Python
  • SQL
  • Tableau
  • Spark
  • Databricks
  • Power BI
Seniority
Senior
Type
Full-time
Specialty
Data Science
Region
Europe
Pay period
Annual
Show 5 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Science
Seniority
Senior
Experience
4+ years
Tech stack
  • Python
  • SQL
  • Tableau
  • Spark
  • Databricks
  • Power BI

Location

Work model
Office
Region
Europe
Office
  • Barcelona, Spain

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Full-time

Something wrong with this vacancy?

Similar vacancies

Share this vacancy

What's wrong with it?

The employer never sees who reported.

Reason