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Senior Data Scientist
Bromium
Source: Headcount Labs · original listing ↗
Job data: Headcount Labs, ODbL 1.0. Job descriptions belong to their employers.
Source date: 11/6/2026
About this role
Senior Data Scientist 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 Technology Schedule - Full time Shift - 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 "