HP invites applications for a motivated and talented Senior Economist/Senior Data Scientist to join our Pricing Analytics Team, nested within the GTM Advanced Analytics organization. In this pivotal role, you will employ machine learning, optimization algorithms, and econometrics models to elevate our existing, customized-pricing software, which facilitates thousands of B2B transactions globally every day.
The HP Pricing Analytics Team, an eclectic and international assembly of professionals—including data scientists, economists, engineers, and experimental physicists—is fully dedicated to promoting a diverse and inclusive work environment. At HP, we champion diverse teams, believing they pave the way toward more innovative solutions.
Expand and Optimize Pricing Algorithms:
– Refine and expand our existing elasticity-based pricing algorithm to serve new products and services.
– Leverage cutting-edge operations research and economic theories to forge intelligent, adaptive pricing models.
Causal Inference and Experimental Design:
– Utilize causal inference techniques to dissect and understand the elements influencing customer demand.
– Analyze and integrate various factors impacting pricing and purchasing decisions into pricing models.
– Design, implement, and analyze experiments to validate hypotheses and pinpoint causal mechanisms affecting purchase choices.
Data Analysis and Visualization:
– Implement data analysis methodologies to extract insights and illustrate pricing and demand trends.
– Utilize R or Python to analyze and clean extensive datasets, ensuring actionable insights are extracted to optimize our pricing strategies and algorithms.
Stakeholder and User Interaction:
– Work closely with various stakeholders, ensuring pricing strategies are in alignment with overarching business objectives.
– Extract and formulate requirements from users, translating their needs into actionable algorithm improvements.
– Collaborate with the Data Science, Data Engineering, and MLOps teams to take innovative solutions and prototypes into production.
– Support users and the QA team to ensure the flourishing of new solutions post-launch.
– 4-6 years working experience in Econometrics or Data Science.
– Master’s degree or PhD in Economics, Operations Engineering, or a related field.
– Technical Proficiency: Strong knowledge of R or Python and acquainted with relevant machine learning libraries. Proficient in data visualization techniques and tools.
– Econometrics Expertise: Understanding of pricing strategies, economic theories, and market dynamics, with preferred experience in price discrimination models and causal inference techniques.
– Communication Skills: Capability to extract requirements from users and adeptly communicate intricate data insights to non-technical stakeholders.
– Familiarity with SQL for database querying and data analysis.
– Experience with Git for version control.
– Previous experience in productionizing algorithms or machine learning models into a business environment.
– Databricks working knowledge is a plus.
HP is an equal opportunity employer and is committed to considering all qualified applicants without regard to race, color, religion, sex, national origin, age, disability, or any other protected status. We steadfastly commit to crafting a diverse and inclusive work environment for all employees and strongly encourage women and underrepresented groups to apply.
You’re out to reimagine and reinvent what’s possible—in your career as well as the world around you. So are we. We love taking on tough challenges, disrupting the status quo, and creating what’s next. We’re in search of talented people who are inspired by big challenges, driven to learn and grow, and dedicated to making a meaningful difference.
HP is a technology company that operates in more than 170 countries around the world united in creating technology that makes life better for everyone, everywhere.
Our history: HP’s commitment to diversity, equity and inclusion – it’s just who we are. From the boardroom to factory floor, we create a culture where everyone is respected and where people can be themselves, while being a part of something bigger than themselves. We celebrate the notion that you can belong at HP and bring your authentic self to work each and every day. When you do that, you’re more innovative and that helps grow our bottom line. Come to HP and thrive!