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Senior Data Scientist

hace 3 meses

Sant Cugat, Barcelona, España Hewlett Packard Enterprise A tiempo completo

Are you ready to play a pivotal role in shaping HP's pricing strategies and unlocking the future of how we set prices? At HP, we're driven by innovation, and our Pricing Analytics team is at the forefront of this mission. We're a dynamic, highly skilled, and diverse global team, comprising economists, statisticians, engineers, and scientists, all working together to push the boundaries of pricing innovation.

If you're a Senior Data Scientist with a passion for economics, statistical modeling, experimentation, and optimization, then this role offers you the opportunity to build complex pricing algorithms for our most popular Printers, PCs, and services in the market.

About You:

Deep Interest in Customer and Market Behavior: You are genuinely fascinated by understanding customer and market behavior and possess the skills to measure and anticipate it effectively.

Passion for Data and Models: You thrive on unveiling answers to the most challenging questions using data and models, and find satisfaction in seeing your pricing recommendations being implemented, even when shopping for yourself.

Continuous Learner : You have an insatiable appetite for learning something new every day and relish being surrounded by highly talented colleagues.

Collaborator: You enjoy working collaboratively with different teams, including Data Engineering, MLOPS, and Project Management, to get the job done.

Key Responsibilities:

Statistical Analysis and Experimentation: Develop and apply statistical methods and experimentation to analyze the impact of pricing and sales decisions on business performance.

Stakeholder Collaboration: Collaborate with internal stakeholders to design and deploy pricing initiatives based on analytical findings.

Communication: Present results and recommendations to relevant stakeholders, including senior leadership, effectively.

Process Enhancement: Streamline existing processes, from feature creation to post-modeling operations.

Stay Updated: Keep up to date with the latest technology trends in the data science world and implement new statistical/ML methodologies as required.

Data Management: Collaborate with data engineers to create automated flows with datasets that are exhaustive for modeling needs.

Monitoring and Quality Assurance: Work with business analysts and data engineers to create monitoring dashboards to measure the effectiveness of model-driven decisions, identify issues, and take suitable actions. Develop QA checks to prevent data-related problems from affecting models and decisions.

Requirements:

Must-haves:

  • Experience: At least 6 years of working experience in data science, ideally in a consumer-focused setting.
  • Education: Master's or PhD degree in Quantitative Marketing, Business, Statistics, Economics, Psychology, or other relevant quantitative discipline.
  • Programming: Proficiency in Python is required.
  • Analytical Skills: Experience in creating and using statistical techniques and machine learning algorithms.
  • Experimentation: Experience in running experiments with aggregated treatment groups (e.g., switchback design) and handling variance reduction/confounders in experimentation and imperfect treatment assignment.
  • Multi-armed Bandits and/or Reinforcement Learning: Working knowledge of multi-armed bandits and/or reinforcement learning techniques applied in relevant contexts.
  • Data Visualization : Proven experience in visualizing and presenting data to stakeholders.
  • Innovative Thinking : Ability to think creatively and invent original solutions to business and modeling challenges.
  • Communication: Excellent written and verbal communication skills with the ability to influence key decision-makers.
  • Interest in Pricing, Economics, and Consumer Behavior
  • Understanding of CRM and customer segmentation.
  • Advanced Experimentation Expertise
  • Prior involvement in pricing experimentation methodologies.
  • Knowledge or experience in Bayesian experimentation techniques.
  • with variance reduction techniques in online experimentation (e.g., CUPED), emphasizing their application in pricing strategies.
  • Basic understanding of finance and product economics.
  • Experience in project and/or product management.

Reinventing since 1939. We are one of the leading Print and Personal Systems technology companies in the world and our vision is to create technology that makes life better for everyone, everywhere. Joining HP is joining an adventure to reinvent the tech world and reinvent yourself every day

#LI-POST

Job -

Software

Senior Data Scientist

Description -

Are you ready to play a pivotal role in shaping HP's pricing strategies and unlocking the future of how we set prices? At HP, we're driven by innovation, and our Pricing Analytics team is at the forefront of this mission. We're a dynamic, highly skilled, and diverse global team, comprising economists, statisticians, engineers, and scientists, all working together to push the boundaries of pricing innovation.

If you're a Senior Data Scientist with a passion for economics, statistical modeling, experimentation, and optimization, then this role offers you the opportunity to build complex pricing algorithms for our most popular Printers, PCs, and services in the market.

About You:

Deep Interest in Customer and Market Behavior: You are genuinely fascinated by understanding customer and market behavior and possess the skills to measure and anticipate it effectively.

Passion for Data and Models: You thrive on unveiling answers to the most challenging questions using data and models, and find satisfaction in seeing your pricing recommendations being implemented, even when shopping for yourself.

Continuous Learner : You have an insatiable appetite for learning something new every day and relish being surrounded by highly talented colleagues.

Collaborator: You enjoy working collaboratively with different teams, including Data Engineering, MLOPS, and Project Management, to get the job done.

Key Responsibilities:

Statistical Analysis and Experimentation: Develop and apply statistical methods and experimentation to analyze the impact of pricing and sales decisions on business performance.

Stakeholder Collaboration: Collaborate with internal stakeholders to design and deploy pricing initiatives based on analytical findings.

Communication: Present results and recommendations to relevant stakeholders, including senior leadership, effectively.

Process Enhancement: Streamline existing processes, from feature creation to post-modeling operations.

Stay Updated: Keep up to date with the latest technology trends in the data science world and implement new statistical/ML methodologies as required.

Data Management: Collaborate with data engineers to create automated flows with datasets that are exhaustive for modeling needs.

Monitoring and Quality Assurance: Work with business analysts and data engineers to create monitoring dashboards to measure the effectiveness of model-driven decisions, identify issues, and take suitable actions. Develop QA checks to prevent data-related problems from affecting models and decisions.

Requirements:

Must-haves:

  • Experience: At least 6 years of working experience in data science, ideally in a consumer-focused setting.
  • Education: Master's or PhD degree in Quantitative Marketing, Business, Statistics, Economics, Psychology, or other relevant quantitative discipline.
  • Programming: Proficiency in Python is required.
  • Analytical Skills: Experience in creating and using statistical techniques and machine learning algorithms.
  • Experimentation: Experience in running experiments with aggregated treatment groups (e.g., switchback design) and handling variance reduction/confounders in experimentation and imperfect treatment assignment.
  • Multi-armed Bandits and/or Reinforcement Learning: Working knowledge of multi-armed bandits and/or reinforcement learning techniques applied in relevant contexts.
  • Data Visualization : Proven experience in visualizing and presenting data to stakeholders.
  • Innovative Thinking : Ability to think creatively and invent original solutions to business and modeling challenges.
  • Communication: Excellent written and verbal communication skills with the ability to influence key decision-makers.

Bonus points for:

  • Interest in Pricing, Economics, and Consumer Behavior
  • Understanding of CRM and customer segmentation.
  • Advanced Experimentation Expertise
  • Prior involvement in pricing experimentation methodologies.
  • Knowledge or experience in Bayesian experimentation techniques.
  • with variance reduction techniques in online experimentation (e.g., CUPED), emphasizing their application in pricing strategies.
  • Basic understanding of finance and product economics.
  • Experience in project and/or product management.

Reinventing since 1939. We are one of the leading Print and Personal Systems technology companies in the world and our vision is to create technology that makes life better for everyone, everywhere. Joining HP is joining an adventure to reinvent the tech world and reinvent yourself every day

#LI-POST

Job -

Software

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.

If you'd like more information about HP'sEEO Policy or your EEO rights as an applicant under the law, please click here:Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement

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