Senior Data Scientist
HP is hiring a Senior Data Scientist in Barcelona, Spain. Level rates it ; you can apply on HP.
Level's read on this job
- Level rates this data scientist role Little AI ●○○○: aI is not part of the work.
- The posting mentions Claude, Copilot and Databricks among its tools and skills.
- Level classes it as a senior role.
- HP has 920 other open roles on Level.
- Posted in the last few days.
AI in this role
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.
About you:
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.
Key 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:
- 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
What we offer:
- 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 TechnologySchedule -
Full timeShift -
No shift premium (Spain)Travel -
Relocation -
Equal Opportunity Employer (EEO) -
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal"
How we rate this
Senior Data Scientist at HP rates 12 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- Typical data scientist job
- $168k
This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs
Questions you could be asked
- Walk me through fine-tuning a model: what data did you use, and how did you check the result?
- Walk me through how you've used Claude in your day-to-day work.
- What are the limits of Copilot that you've run into, and how did you work around them?
- What's a project where you used Databricks hands-on?
- Walk me through how you've used Claude Code in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Fine-tuning, Claude, Copilot, Databricks, and Claude Code. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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