HP
Senior Marketing Data Scientist
HP, Spring, Texas, us, 77391
Senior Marketing Data Scientist
Check below to see if you have what is needed for this opportunity, and if so, make an application asap. 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
#J-18808-Ljbffr
Check below to see if you have what is needed for this opportunity, and if so, make an application asap. 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
#J-18808-Ljbffr