
Marketing Data Scientist at HP Inc.
About the role
Marketing Data Scientist:
Description -The role of Marketing Data Scientist is a contract position, classified under internal temporary worker employment, with a 2‑year contract duration.
Job Details -:
Working within the Advanced Analytics group at HP, you will apply your advanced data science skills to solve a variety of problems in marketing analytics. The successful candidate will have strong technical skills including R and Python, with at least 3 years of experience. We are looking for someone with experience in multi-touch attribution and marketing mix modeling, from model development to optimization. The ideal candidate will help with our project architecture, including the development of applications using frameworks such as Shiny, Flask or React. The new colleague will contribute to the development of innovative solutions, lead complex projects and be comfortable presenting to senior leadership.
What you will be doing:
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Works with project team to understand problem statements, initiatives, and direction.
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Builds statistical models to evaluate the impact of marketing activities for HP.
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Stays up to date with technology and trend shifts.
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Collaborates and communicates with project team regarding project progress and proactively identifies solutions to issues.
What we are looking for:
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Bachelor's or Master's degree in Mathematics, Economics, Physics, Biology, Computer Science, or equivalent.
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Typically 3-5 years of experience – it may include also graduate or postgraduate research.
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Experience with R and Python for data manipulation, visualization and statistical model development.
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Familiarity with data science web application frameworks such as Shiny, Streamlit and/or React.
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Effective utilization of distributed cloud-computing data science platforms.
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Ability to create compelling stories with data to describe and communicate data insights.
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Excellent written and verbal communication skills; mastery in English and local language.
Scope & impact:
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Collaborates with project team and lead Data Scientists.
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Typically partners with high-level Individual Contributors and Managers.
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Supports projects requiring data engineering solutions expertise.
Job -
Data & Information Technology:
Schedule -
Full time
Shift -
No shift premium (India)
Travel -Relocation -
Yes
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.
For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal"
Required skills
Data science
Marketing analytics
Statistical modeling
R
Python
Multi-touch attribution
Marketing mix modeling
Stakeholder communication
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About HP Inc.

HP Inc.
PublicHP Inc. is a multinational technology company that develops personal computers, printers, and related supplies and services. The company was spun off from Hewlett-Packard Company in 2015 to focus on personal systems and printing solutions.
10,001+
Employees
Palo Alto
Headquarters
$28.8B
Valuation
Reviews
10 reviews
3.5
10 reviews
Work-life balance
4.0
Compensation
3.2
Culture
3.8
Career
2.5
Management
2.8
65%
Recommend to a friend
Pros
Good work-life balance and flexibility
Supportive management and colleagues
Good benefits package
Cons
Limited career advancement and growth opportunities
Poor management and leadership issues
Low salary and compensation
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