This is a remote position.
DISCLAIMER: This job posting is intended for active pooling of candidates who will become part of our talent pool. Your qualifications will be assessed against both current and future job openings. Should your application align with a role that corresponds to your skills and experience, and an opportunity arises, our recruitment team will reach out to you immediately. Please note that this does not guarantee immediate placement or contact. Additionally, we exclusively consider applications from individuals who are currently reside in the US/Canada during their application process.
Salary: $64,000 - $75,000 per annum
Experience Required: Minimum 1 year of project experience
Responsibilities:
DISCLAIMER: This job posting is intended for active pooling of candidates who will become part of our talent pool. Your qualifications will be assessed against both current and future job openings. Should your application align with a role that corresponds to your skills and experience, and an opportunity arises, our recruitment team will reach out to you immediately. Please note that this does not guarantee immediate placement or contact. Additionally, we exclusively consider applications from individuals who are currently reside in the US/Canada during their application process.
Salary: $64,000 - $75,000 per annum
Experience Required: Minimum 1 year of project experience
Responsibilities:
- Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward.
- Develop algorithms iteratively, building in the right level of complexity to solve the business problem at hand and support future improvements.
- 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.
- Collaborate with Software Engineers to implement algorithms in production that scale gracefully.
- Collaborate with stakeholders to prioritize projects and define requirements.
- Carry out analysis of data produced by our hardware systems and create insightful visualizations to share your findings.
- Contribute to internal libraries to help other teams with their data science needs including visualization, prediction, optimization, and inference.
- 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.
- 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.
- Ability to work independently and manage multiple projects simultaneously.
- 1-year Experience with Data Bricks or PySpark
- 1 year Experience with product ionizing data models