Senior Data Scientist (Hybrid)
Tasks
- Build automated root cause analysis tools
- Communicate technical concepts to non-technical partners
- Design, build, and deploy machine learning models
- Develop predictive and prescriptive models
- Embed data models into Salesforce
- Embed data models into ServiceNow
- Extract operational insights
- Integrate automation into enterprise software
- Integrate data layers into operational workflows
- Lead AI and analytics strategy
- Monitor system health metrics from logs
- Orchestrate analytics projects
- Perform system log analytics
- Process large-scale datasets
- Serve as technical subject matter expert
- Translate partner requirements into analytics solutions
- Translate stakeholder requirements into production deployments
- Write scalable data science code in Python
- Write scalable data science code in R
Perks/Benefits
- 401k matching
- Employee stock purchase plan
- Medical/Dental/Vision
- Paid Holidays
- Paid parental leave
- Paid time off
- Travel under 10 percent
Skills/Tech-stack
Cause analysis | Data Mining | Data analytics | Log Analytics | Machine Learning | Predictive Analytics | Prescriptive Analytics | Python | R | Root Cause Analysis | Root cause | Salesforce | ServiceNow | Statistical modeling | System Log | System Log Analytics
Education
N/A
Roles
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