Customer Success Representative

Wolters Kluwer N.V.; Valencia; Presencial; USD 159.000 - 256.000; Jornada completa

Descripción de la vacante

An established industry player seeks a Director of Data Science to lead a dynamic team in optimizing digital marketing investments. This role offers the chance to make a significant impact through innovative machine learning solutions, guiding strategic decisions across various channels. Join a collaborative culture that values creativity and teamwork, where your expertise will drive real-world results. If you're passionate about data science and looking to inspire a talented team, this opportunity is perfect for you!

Formación

• Bachelor's degree in relevant fields; proven experience in data science.
• Strong skills in machine learning and team leadership.

Responsabilidades

• Guide investment strategies across products and channels.
• Lead a data science team with accountability for results.
• Inspire cross-functional teams and mentor others.

Conocimientos

Machine Learning

Data Science

Statistical Testing

Problem Solving

Team Leadership

Communication

Media Mix Modeling

Multi-Touch Attribution

Python

R

Educación

Bachelor’s in Computer Science

Bachelor’s in Statistics

Bachelor’s in Electrical Engineering

Bachelor’s in Robotics

Descripción del empleo

Director Gerente

Director, Data Science Global Digital Marketing

HP is a Fortune 100 technology company with $58+ Billion in revenue, with over 50,000 employees operating in more than 170 countries around the world. We provide technology and services that help people and companies address their problems and challenges, and realize their possibilities, aspirations and dreams. We apply new thinking and ideas to create simpler, more valuable and trusted experiences with technology, continuously improving the way our customers live and work.

Position background:

In the GTM advanced analytics COE, our mission is to deliver impact by building machine learning products to guide HP’s pricing, making the right marketing investments, and interacting with the right accounts on the right topics.

Generating $58B+ of sales requires a significant investment in digital marketing. To help HP understand the efficiency of the spend, help optimize it and balance it, data science models are deployed from the highest level (MMM) to the lowest level (keyword optimization). To lead such an impactful and exciting team, you are looked for!

We offer an international experience, collaborative culture, top rate data science platform and opportunity to create significant real world impact.

What you will do:

1. Guide HP’s investment in terms of size, mix and timing across geographies, products and channel.
2. Lead a data science team with a strong culture of delivery and accountability for results.
3. Conduct problem solving sessions with internal stakeholders on identifying the right methodology and data sources that need to be managed.
4. Inspire and motivate cross-functional teams to be highly effective both in terms of impact and team culture.
5. Act as a trusted mentor and advisor to others within our broader technology organization to ensure the scaling of best practices and use of repeatable patterns.

What you will need:

1. Bachelor’s in Computer Science, Statistics, Electrical Engineering, Robotics or a related field.
2. Proven experience developing Media Mix (MMM) and/or Multi-Touch Attribution (MTA) models.
3. Proven track record of success leading teams in Data Science or consulting teams in the digital marketing domain.
4. Theoretical and applied skills in Machine Learning.
5. Experience in developing ML solutions utilizing various algorithms.
6. Knowledge of statistical testing methods (i.e., A/B, Hypothesis, Multivariate, User Acceptance).
7. Proven experience liaising between technical & non-technical business units; presenting insights.
8. Familiar with a variety of media channels (i.e., Display, Paid Search, Paid Social, Programmatic, TV).
9. Languages: Python or R.

Who We Are:

At HP, we believe in the power of ideas. We use ideas to put technology to work for everyone. And we believe that ideas thrive best in a culture of teamwork. That is why everyone – at every level in every function, is encouraged to think big, have original ideas and express and share them. We trust anything can be achieved if you really believe in it, and we will invest in your ideas to change lives and the way people work. This vision is what sets us apart as a company. At HP, we work across borders and without limits. Global virtual teams share resources, pool their big ideas to solve our biggest business opportunities. Everyone is valued for the unique skills, experiences and perspectives they bring. That’s how we work at HP. And this is how ideas and people grow.

Compensation:

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The typical base pay range for this role across the U.S. is $159,650.00 - $255,450.00 annually with additional opportunities for pay in the form of bonus and/or equity. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

Job: Business Planning

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.