Sales-enabling data scientist

Sales-enabling data scientist

Description -

Position Background:

Our team is part of the GTM Advanced Analytics CoE, where we help sales teams improve their effectiveness through advanced analytics solutions. We are involved in every stage of Data Science projects: from understanding business needs and data to deploying predictive and non-predictive solutions, and tracking their benefits.

This is a diverse, multicultural, and cross-functional team that collaborates with stakeholders worldwide. The projects we deliver are highly varied, offering opportunities to solve different types of challenges and business problems across industries and functions.

In this role, you’ll work with cutting-edge tools and technologies, gaining exposure to technically challenging problems that drive real business impact. You will collaborate in an agile and supportive team environment, where learning and professional growth are encouraged.

Collaboration and excellence are at the core of our culture, ensuring that the solutions we deliver meet the high standards and impact expected from top-performing teams. By joining us, you’ll contribute to solutions that optimize performance, enhance decision-making, and support the company’s growth.

Responsibilities:

· Collaborate with business stakeholders to understand their needs and translate complex business requirements into clear, actionable analytical solutions.

· Work closely with the Data Engineering team to ensure data quality, consistency, and stability across all stages of the project lifecycle.

· Explore, analyze, and preprocess data using advanced techniques to uncover insights that drive actionable business decisions.

· Develop, validate, and deploy statistical and Machine Learning models to improve the efficiency and effectiveness of Sales teams.

· Evaluate and monitor the performance of deployed Data Science solutions to ensure they deliver measurable business value, and maintain them for long-term stability.

· Clearly communicate data findings, model outcomes, and actionable recommendations to both technical and non-technical stakeholders through visualizations, presentations, and reports.

· Design and implement scalable frameworks to measure, monitor, and improve the business performance of analytical solutions.

· Partner with cross-functional teams to ensure alignment and integration of solutions into existing processes.

· Drive innovation by identifying opportunities to leverage new tools, techniques, and methodologies to solve complex business problems.

Job Requirements:

· Experience: 3+ years in a Data Science role, with a proven track record of delivering impactful solutions.

· Education: Degree in Mathematics, Statistics, Computer Science, Data Science, or a related quantitative field.

· Technical Skills:

· Deep understanding of statistical concepts and their application in solving business problems.

· Strong knowledge of Machine Learning algorithms and frameworks.

· Proficiency in Python or R; experience with PySpark is a plus.

· Solid SQL skills for data extraction and manipulation.

· Experience working with large datasets

· Analytical Skills: Excellent analytical, problem-solving, and critical-thinking abilities with a strong attention to detail.

· Business Acumen: Ability to translate complex business needs into practical, data-driven solutions.

· Communication: Strong English communication skills, with the ability to explain technical concepts to non-technical stakeholders.

· Collaboration: Exceptional interpersonal skills and experience working in cross-functional, virtual, and in-person team environments.

· Project Management: Ability to prioritize, manage projects effectively, and deliver high-quality results on time.

· Mindset: Results-oriented, proactive, and committed to delivering quality outcomes that meet business expectations.

Entity Sales&Services

#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 characteris