Senior Marketing Data Scientist

Senior Marketing Data Scientist

Description -

Job Summary

The role of Marketing Data Science today has evolved constantly because of rapid mar-tech innovations and emergence of disruptive technologies. We are looking for an experienced Senior Marketing Data Scientist who is not only well-versed in machine learning and statistical modeling, but also familiar with mar-tech platforms and practices. As a Senior Marketing Data Scientist, you’d put your talent to spot opportunities to apply the latest technologies on real-world marketing problems. You will be working with various marketing data platforms and databases, getting deeply involved in data cleaning and ETL building, using whatever modeling skills you have, be it time-series forecasting or classification algorithms, to help solve marketing analytic problems and finally bring your insight or solution to the senior management within HP. We are looking for a self-starter who is passionate about coding, data wrangling, and sharing insight with others.

Locations

Spring, Texas. On-site or Hybrid

Responsibilities

• Understand marketing initiatives, challenges, questions and concerns and transforming them into data science solutions and metrics
• Devise analytical framework, models and dashboards to quantitatively measure the impact, efficiency and effectiveness of marketing activities
• Lead the development and implementation of innovative end-to-end machine learning techniques to answer key business questions from marketing team or senior management while identifying new areas to explore
• Present your analysis and recommendation to marketing colleagues and to senior management
• Collaborate with internal or external members to bring in data source/platform/technique into the team

Required Qualifications:

• 5-7 years of experience in data analytics
• Experience with data cleaning and exploratory data analysis; High proficiency in SQL
• Expertise in at least one scripting language (Python or R) as well as scientific libraries like Numpy or Pandas
• Knowledge in statistical modeling and machine learning: Regression/Classification/Clustering/Time Series Forecasting/Causal Inference/Natural Language Processing and other techniques
• Experience with cloud service and infrastructures such as Databricks/Amazon Web Service/Google Cloud
• Experience working with popular machine learning and toolkits frameworks like Scikit-learn/XGboost/Pytorch/Tensorflow/Sagemaker
• Data visualization skills like PowerBI/Tableau/Seaborn
• Experience developing sophisticated models and solving sophisticated quantitative problems that could be understood by non-technical colleagues
• Basic understanding and knowledge of digital marketing practices and KPIs on e-commerce ad platforms
• Desire to partner up with other data scientists, data analysts and key business partners
• Proficiency with advanced Excel and PowerPoint
• Excellent Communication Skills

Preferred Qualifications:

• Degree in Computer Science/Engineering/Mathematics/Econometrics/Statistics
• Familiarity with Google Analytics/Adobe Analytics/Amazon Marketing Cloud/Google Ads Data Hub and other commonly used digital marketing data platforms or CRM systems
• Knowledge of commercial B2B marketing and ABM
• Experience with marketing measurement framework such as Marketing Mix Modeling and Multi-touch Attribution

The base pay range for this role is $136,850 to $210,750 annually with additional opportunities for pay in the form of bonus and/or equity (applies to US candidates only). Pay varies by work location, job-related knowledge, skills, and experience.

Benefits:

• Health insurance
• Dental insurance
• Vision insurance
• Long term/short term disability insurance
• Employee assistance program
• Flexible spending account
• Life insurance
• Generous time off policies, including;
• 4-12 weeks fully paid parental leave based on tenure
• 11 paid holidays
• Additional flexible paid vacation and sick leave

The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.

Job - Marketing

Schedule - Full time

Shift - No shift premium (United States of America)

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