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Staff Data Scientist - Research & Analytics
Company | Salesforce |
Address | New York, NY, United States |
Employment type | FULL_TIME |
Salary | |
Category | IT Services and IT Consulting,Software Development,Technology, Information and Internet |
Expires | 2023-09-03 |
Posted at | 8 months ago |
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
- Identify and drive improvements to the execution of the full Research + Analytics team through standardization of process, authoring new standard methodologies, mentorship and cultivation of new expertise.
- Designing new datasets and metrics to be added to our data model.
- Applying data science methods to understanding the most important aspects of our AI product, users, and business.
- Evangelizing evidence-based decision making by partnering with key decision makers and driving general accessibility of data and insights.
- A related technical degree required
- A consistent record of using data to drive product teams to achieve ambitious goals and influencing company-level outcomes.
- Experience in schema design, data modeling, and building data pipelines.
- Experience with designing and testing experiments.
- 8+ years of professional industry experience doing quantitative analysis.
- Expert SQL and at least one general programming language (e.g. Python).
- Experience with a broad set of statistical and machine learning methods to build descriptive and predictive models.
- Experience with data technologies that allow effective storage and analysis of large amounts of data (e.g. Spark, Presto, Hive, Hadoop, etc).
- Experience with online data systems (e.g. relational databases, logging ingestion)
- Advanced degree (MS, PhD) in a quantitative field (e.g. Computer Science, Economics, Physics) a plus
- IN SCHOOL OR GRADUATED WITHIN THE LAST 12 MONTHS? PLEASE VISIT FUTURE FORCE FOR OPPORTUNITIES*
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