Data Sciences Lead 面议 申请该职位

Data Sciences Lead


面议 全职| 招聘:若干| 2019-06-21发布




Description -

HP Marketing Data Sciences is a cutting-edge team with the agility of a startup and the depth of a Fortune-500 company with a storied history of innovation going back to 1939. In our team, you will play the role of a leader and subject matter expert in the digital marketing transformation through our Machine Learning, Artificial Intelligence and Data Science capability.

This individual will be responsible for managing junior-level data scientists/analysts and providing guidance to the team in building customer profiles, developing predictive models, and developing segmentation approaches to enable the planning and execution of marketing campaigns. The individual will also be expected to be able to conduct analysis and develop algorithms and procedures, particularly for demonstrating new approaches. Additionally, the individual will collaborate with partners in the business unit marketing, insights, and measurement organizations on specific analytics projects to improve business processes. This role will report to Global Head of Marketing Data Sciences.

Job Duties

1. Integrate disparate datasets, analyze large volume of datasets to draw relevant business conclusions

2. Automate data load and transformation processes and operationalize models. Improve data availability.

3. Identify data problems and automate the corrective action

4. Direct/supervise the execution of marketing programs against metrics and goals.

5. Direct/supervise the management of marketing assets and perform closed-loop analysis to drive continuous improvements to marketing efficiency and effectiveness.

6. Analyze data collected from various sources to measure campaign performance and identify opportunities to improve Campaign KPI measurement framework

7. Direct the development of value-added business performance analytics and optimization recommendations that enable continuous improvement across the operations of field marketing and demand generation.

8. Lead the implementation of marketing process and tools such as marketing resource management (MRM), customer relationship management (CRM) and customer knowledge management (CKM).

9. Manage the integration and utilization of new campaign management and other MPM tools, lead the development of training and research materials and related processes and tools.

10. Build executive presentation for business review

11. Typically hire/manage/develop Entry, Intermediate and/or Specialist-level ICs.

Job Requirements

1. MS/PHD in Computer Science, Engineering, Math, Statistics or related field

2. 8-10 years of experience in data science, customer insights and marketing analytics program management and operations with a leading e-commerce player

3. Advanced statistics background for analytical positions preferred (advanced degree preferred) with research and statistical focus background for analytics roles.

4. In-depth hands-on experience in BI and Analytics tools like R, SAS, SPSS, Tableau etc, SQL and databases like Vertica/Redshift/Teradata.

5. Expert knowledge of marketing principles, practices, tactics and tools. Preference for proficiency in developing machine learning & AI algorithms in R, SAS, or Python

6. Expert in data manipulation and analysis techniques; comfortable using very containing both structured and unstructured data

7. Experience in the Digital Marketing space and web analytics. Knowledge of media data.

8. Experience in Data Architecture / Data Analysis / Database programing.

9. Experience in use of Big Data technologies (e.g. Hadoop, Hive, Scala, Pig, etc.), AWS technologies and services

10. Linux shell scripting is a bonus.

11. In-depth knowledge in digital marketing platforms (DMP and DSPs) and media data.

12. Experience in Marketing systems such as MRM or CRM applications.

13. In-depth knowledge of Marketing fundamentals, lifecycle, marketing mix and knowledge management.

14. Excellent written/oral communication and interpersonal skills; ability to build, manage and influence direct reports and virtual teams.

15. Strong influencing, consensus-building and conflict resolution skills.











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