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Junior Data Scientist

  • Job
    Full-time
    Junior Level
  • Data
    Software Engineering
  • Bridgeport

AI generated summary

  • You must be proficient in Python and data libraries, understand data modeling, optimization, and statistical analysis, and translate problems into solutions while communicating effectively.
  • You will collaborate with teams to identify algorithmic problems, develop scalable models, analyze hardware data, create visualizations, and enhance internal libraries for data science projects.

Requirements

  • 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.

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.

FAQs

Do we support remote work?

Yes, this position is fully remote.

What is the annual income range for this position?

The annual income for the Junior Data Scientist position is between $59K and $69K.

Is a work permit required for this position?

Yes, a valid work permit is necessary to work in the US or Canada.

What are the primary responsibilities of a Junior Data Scientist at Patterned Learning?

The primary responsibilities include partnering with teams to identify algorithmic problems, developing algorithms iteratively, defining success criteria for models, collaborating with software engineers to implement algorithms, analyzing data, and contributing to internal libraries.

What technical skills are required for this position?

Advanced proficiency in Python and libraries such as Pandas, NumPy, SciPy, and Matplotlib, along with a strong understanding of data modeling, statistical analysis, and optimization techniques.

What is the expected level of experience for applicants?

Applicants should have at least 1 year of relevant experience in data science or related fields.

Are there any "nice to have" skills for this position?

Yes, experience with Data Bricks or PySpark, as well as experience in productionizing data models, are considered nice to have.

Will I be expected to communicate findings to non-technical stakeholders?

Yes, the ability to communicate clearly with both technical and non-technical audiences is essential for this role.

Can I manage multiple projects simultaneously in this position?

Yes, the ability to work independently and manage multiple projects simultaneously is an important aspect of this role.

What kind of analyses will I be expected to perform?

You will carry out analyses of data produced by hardware systems and create insightful visualizations to share your findings.

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Technology
Industry
11-50
Employees

Mission & Purpose

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