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 here you’d put your talent to spot opportunities to apply latest technologies on real-word marketing problems. You will be working with various marketing data platforms and databases, get deeply involve in data cleaning and ETL building, use 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 metricsDevise analytical framework, models and dashboards to quantitatively measure the impact, efficiency and effectiveness of marketing activitiesLead 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 explorePresent your analysis and recommendation to marketing colleagues and to senior managementCollaborate with internal or external members to bring in data source/platform/technique into the team

Required Qualification:

5-7 years of experience in data analytics Experience with data cleaning and exploratory data analysis; High proficiency in SQLExpertise in at least one scripting language (Python or R) as well as scientific libraries like Numpy or PandasKnowledge in statistical modeling and machine learning: Regression/Classification/Clustering/Time Series Forecasting/Causal Inference/Natural Language Processing and other techniquesExperience with cloud service and infrastructures such as Databricks/Amazon Web Service/Google CloudExperience working with popular machine learning and toolkits frameworks like Scikit-learn/XGboost/Pytorch/Tensorflow/SagemakerData visualization skills like PowerBI/Tableau/SeabornExperience developing sophisticated models and solving sophisticated quantitative problems that could be understood by non-technical colleaguesBasic understanding and knowledge of digital marketing practices and KPIs on ecommerce ad platformsDesire to partner up with other data scientists, data analysts and key business partners  Proficiency with advanced Excel and PowerPointExcellent Communication Skills

Preferred Qualifications:

Degree in Computer Science/Engineering/Mathematics/Econometrics/StatisticsFamiliarity with Google Analytics/ Adobe Analytics/ Amazon Marketing Cloud/ Google Ads Data Hub and other commonly used digital marketing data platforms or CRM systemsKnowledge 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:

HP offers a comprehensive benefits package for this position, including:

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 (US benefits overview)

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.