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Data Scientist (Entry Level) - Us/Canada
Company | Pattern Learning AI - Career & Tech Recruitment Reimagined! |
Address | California, United States |
Employment type | FULL_TIME |
Salary | |
Category | Nanotechnology Research |
Expires | 2023-09-06 |
Posted at | 9 months ago |
This is a remote position.
- Collaborate with stakeholders to prioritize projects and define requirements.
- Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward.
- Carry out analysis on data produced by our hardware systems and create insightful visualizations to share your findings.
- Develop algorithms iteratively, building in the right level of complexity to solve the business problem at hand and support future improvements.
- Collaborate with Software Engineers to implement algorithms in production that scale gracefully.
- Contribute to internal libraries to help other teams with their data science needs including visualization, prediction, optimization, and inference.
- Define success criteria for your models so that you can measure impact and changes over time. You'll be expected to communicate findings and drive continuous improvements.
- Advanced proficiency with Python and libraries commonly used for data analysis, e.g., Pandas, NumPy, SciPy, and Matplotlib.
- Strong understanding of data modeling and statistical analysis.
- Knowledge of optimization and predictive modeling techniques and experience applying them to real-world problems.
- Ability to work independently and manage multiple projects simultaneously.
- Skilled at translating a general question or problem into a clearly defined algorithmic solution.
- Ability to communicate clearly with both technical and non-technical audiences.
- 1 year Experience with productionizing data models
- 1 year Experience with Databricks or PySpark
- 401(k) with up to 2% employer match
- Health, vision, and dental insurance
- Flexible vacation, unlimited paid holidays, and paid sick days
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