Data Scientist
at Arvato
Toronto, ON, Canada -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 25 Dec, 2024 | USD 70000 Annual | 02 Oct, 2024 | 3 year(s) or above | Good communication skills | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
GC Green Card |
Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
DATA SCIENTIST
The salary range for this position begins at $70,000 and will be determined based on experience and qualifications.
As a team of dedicated book-loving professionals, we discover, shape, and share content that nurtures thoughts, dreams, and conversations around the globe, ensuring that new and established voices are heard.
We respect and value each individual and their lived experiences and commit to creating a more diverse team and establishing a culture of belonging. If you self-identify as Black, Indigenous, a person of colour, a member of the LGBTQIA2S+ community, or part of another marginalized group, we strongly encourage you to apply.
How To Apply:
Incase you would like to apply to this job directly from the source, please click here
Responsibilities:
- Employ analytical techniques and machine learning algorithms to draw conclusions from complex data sets.
- Design, build, and deploy dashboards and self-serve tools that communicate actionable insights to business stakeholders.
- Maintain production tools and pipelines, identifying lapses in performance and opportunities for improvement.
- Communicate analysis and results clearly and persuasively to a variety of different audiences.
- Collaborate with colleagues from other Penguin Random House territories to share ideas, projects, and solutions
REQUIREMENT SUMMARY
Min:3.0Max:8.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Graduate
A quantitative discipline such as statistics economics engineering computer science or equivalent experience
Proficient
1
Toronto, ON, Canada