FAQs
What is the required experience for the Junior Data Scientist position?
A minimum of 1 year of experience is required for this position.
What is the annual income range for this position?
The annual income for this position ranges from $59K to $75K.
Is a work permit necessary to apply for this job?
Yes, a valid work permit is necessary to work in the US for this position.
What programming language is primarily used in this role?
The primary programming language used in this role is Python.
What libraries should I be proficient in for this Junior Data Scientist position?
Candidates should have advanced proficiency with libraries commonly used for data analysis, such as Pandas, NumPy, SciPy, and Matplotlib.
Are there opportunities for collaboration within the company?
Yes, you will collaborate with engineers, product managers, and business partners to identify and solve algorithmic problems.
What are the key responsibilities of this position?
Key responsibilities include developing algorithms, collaborating with engineering teams, analyzing data, creating visualizations, and contributing to internal libraries.
Are there any preferred qualifications for this role?
Yes, nice to have qualifications include 1 year of experience with Data Bricks or PySpark and experience with productionizing data models.
Will I be communicating findings to non-technical audiences?
Yes, the ability to communicate clearly with both technical and non-technical audiences is required for this role.
What type of problems will I be working on?
You will be identifying algorithmic problems and developing solutions to address those challenges effectively.
Is there a focus on continuous improvement in this role?
Yes, you will be expected to measure the impact of your models over time and drive continuous improvements.
What internal resources will I contribute to?
You will contribute to internal libraries that support data science needs, including visualization, prediction, optimization, and inference.
What is the company focus for development resources?
Patterned Learning aims to provide intelligent suggestions and automate repetitive tasks to help developers write code more efficiently and effectively.