Data Scientist GTM Advanced Analytics
Data Scientist GTM Advanced Analytics
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Job Description
Description
Were 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 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 indepth evaluation of multiple factors. Maintains relationship with all stakeholders in scoped domain.
Job Responsibilities:
- Proactively reviews technical literature learns a new methodology and aligns with Data Science leaders.
- 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.
- Provides guidance training and mentoring to less experienced staff members.
- 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 domainspecific expertise in crossorganization projects/initiatives
- Develops clear presentations for senior decision makers including case for change options tradeoffs and recommendation.
- Manages relationships with business partners to evaluate and foster data driven innovation provide domainspecific expertise in crossorganization 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:
- Extensive experience using statistics mathematics algorithms and programming languages to solve business problems.
- Experience in test design and measurement customer segmentation cleanroom technology 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 problemsolving 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.
Education & Experience:
- Bachelors masters or Ph.D. degree in Mathematics Economics Physics Computer Science or equivalent.
- Typically 36 years of relevant work experience
#LIPOST
Entity Sales&Services
Job
Data & Information TechnologySchedule
Full timeShift
No shift premium (Spain)Travel
NoRelocation
NoEqual 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 youd like more information about HPsEEO Policyor your EEO rights as an applicant under the law please click here:Equal Employment Opportunity is the LawEqual Employment Opportunity is the Law Supplement
Employment Type
Full-Time
