Data Scientist

Description -

We're looking for someone who identifies business needs, aligns with key stakeholders, passionate about problem solving through power of ML and AI, seamlessly connects model findings to business strategy, and generates recommendations that fit business reality. Has experience in test design and measurement, customer segmentation, recommendation system, MTA (Multi Touch Attribution), and MMM (Marketing Mix Model).

Someone who applies advanced subject matter knowledge to solve complex business issues and is regarded as a subject matter expert. Frequently contributes to the development of innovative ideas and methods, coaches the less experienced staff members, and leads several complex projects. Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors. Maintains relationship with all stakeholders in scoped domain​.

Job Responsibilities:

• Demonstrates ability to pick a ML technique that best suits the business problem

• Defines and implements models to uncover patterns and predictions creating business value and innovation.

• Works with Data Science leaders to develop new innovative solutions to existing or new business challenges.

• Works with product management and project leaders to connect model findings with business strategy and generate recommendations that fit project requirements.

• Brings domain specific literature and industry insights to drive innovation.

• Provides domain-specific expertise in cross-organization projects/initiatives.

• Develops clear presentations for senior decision makers including case for change, options, trade-offs and recommendation.

• Manages relationships with business partners to evaluate and foster data driven innovation, provide domain-specific expertise in cross-organization projects/initiatives.

• Ties insights into effective visualizations communicating business value and innovation potential.

• Maintains proficiency within the data science domain by keeping up with technology and trend shifts. Contributes to industry data science domain initiatives.

Job Requirements:

• Bachelor's, master's or Ph.D. degree in Mathematics, Economics, Physics, Computer Science, or equivalent.

• Typically, 3-6 years of relevant work experience

• Extensive experience using statistics, mathematics, algorithms, and programming languages to solve business problems.

• Experience in test design and measurement, customer segmentation, cleanroom technology, MTA, and MMM.

• Ability to define and create complex models to pull valuable insights, predictions, and innovation from data.

• Effectively and creatively tell stories and create visualizations to describe and communicate data insights.

• Strong analytical and problem-solving skills.

• Proficient in Python and SQL

• Excellent written and verbal communication skills; mastery in English.

• Ability to effectively communicate data insights and negotiate options at senior management levels.

#LI-POST

Job -

Data & Information Technology

Schedule -

Full time

Shift -

No shift premium (Mexico)

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’s EEO 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