Data Scientist IIPride Global • Menlo Park, CA, US
Data Scientist II
Pride Global • Menlo Park, CA, US
[job_card.30_days_ago]
[job_preview.job_type]
- [job_card.temporary]
[job_card.job_description]3+ years’ experience doing quantitative analysis Bachelor’s degree in a Quantitative or Technical field SQL, Excel, and data analysis experience Python / R scripting experience Experience with distributed computing (Hive / Hadoop) Experience with Unix / Linux Experience initiating and driving projects to completion with minimal guidance Experience working cross-functionally and communicating technical content to general audiences
Job Description
Job Description
Job Title – Data Scientist II
Location – Fully Remote
Contract Duration – 6 months contract (Potential to Extend)
Pay Range -$70-$75 / hour on W2
We are looking for a Data Scientist to work on our Legal team. The Data Science role is critical to support Client’s eDiscovery & Information Governance team by addressing the growing volume and complexity of work.
For this role, you will enjoy working with one of the richest data sets in the world, cutting edge technology, and the ability to see your insights turned into real world impact. The perfect candidate will have a background in a quantitative or technical field, a perfectionist mentality, and will have excellent communication skills. You are focused on accuracy, a self-starter, and have demonstrated success in using analytics to drive understanding and to influence business decisions.
Responsibilities
- Collect data from products across the company (Search, messages, ads etc.) for use in legal matters
- Automate analyses and author pipelines via SQL and Python based ETL framework
- Build dashboards to bring your pipelines to life for non-technical partners
- Stay up to date on new structured data sources within the Company as they are developed and help non-technical partners understand the use and content of these sources
- Create and maintain internal documentation on pipelines, tools, data sets
- This is a highly collaborative and cross-functional role :
- Partner with lawyers across the Legal department to understand their data needs
- Partner with economic consultants to develop product and financial models
- Partner with data science teams to ensure accuracy of analyses
- Partner with infrastructure and data engineers to manage large data sets effectively
Must Have Skills :
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