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Junior Data Scientist Engineer

Patterned Learning Career

Worldwide (Remote)

Junior Data Scientist Engineer

2 Days ago • 1-1 Years • Data Analyst

About the job

14 skills required for this role

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neural-networks

html

javascript

deep-learning

multiplayer

data-structures

glm

python

sql

decision-trees

matlab

json

xml

oracle

Job Description

As a Junior Data Scientist Engineer at Patterned Learning, you will contribute to improving our platform's capabilities through data analysis and modeling. This remote position requires 1+ years of experience and involves working with large datasets, building predictive models, and using statistical programming languages like R or Python. You will collaborate with a team to analyze data, develop algorithms, and improve the platform's efficiency. Responsibilities include data cleaning, feature engineering, model selection, and model evaluation. Strong analytical and problem-solving skills are essential, along with proficiency in SQL and other relevant technologies such as Javascript, XML, JSON, and HTML. Familiarity with actuarial concepts and experience with statistical modeling techniques are preferred.

Must have:

Strong R/Python skills for data analysis
Proficiency in statistical programs (R, Python, etc.)
SQL, Javascript, XML, JSON, HTML knowledge
Excellent teamwork and communication

Good to have:

Actuarial knowledge
GLM, Decision Trees, Time Series experience
Microsoft DeployR familiarity
Insurance risk analysis experience
Computational finance/econometrics knowledge
VBA and SQL expertise

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This is a remote position.

Junior Data Scientist Engineer - Remote Job, 1+ Year Experience

Annual Income: $61K - $75K

A valid work permit is necessary in the US

About us: Patterned Learning is a platform that aims to help developers code faster and more efficiently. It offers features such as collaborative coding, real-time multiplayer editing, and the ability to build, test, and deploy directly from the browser. The platform also provides tightly integrated code generation, editing, and output capabilities.

Skills and Abilities:

Strong knowledge of R or Python for data analysis and modeling.
Proficiency in statistical programs such as R, SAS, MATLAB, or Python.
Familiarity with spreadsheets (VBA) and database applications (Access, Oracle, SQL, or equivalent technology).
Basic understanding of SQL, Javascript, XML, JSON, and HTML.
Ability to learn new methods quickly and work under deadlines.
Excellent teamwork and communication skills.
Strong analytical and problem-solving abilities.
Basic understanding of SQL, Javascript, XML, JSON, and HTML.

Preferred:

Knowledge of actuarial concepts and life, health, and/or annuity products.
Experience with statistical modeling techniques such as GLM, Decision Trees, Time Series, Regression, etc.
Familiarity with Microsoft DeployR.
Exposure to insurance risk analysis.
Basic experience in computational finance, econometrics, statistics, and math.
Knowledge of SQL and VBA.
Familiarity with R or Python for predictive modeling

Why Patterned Learning LLC?

Patterned Learning can provide intelligent suggestions, automate repetitive tasks, and assist developers in writing code more effectively. This can help reduce coding errors, improve productivity, and accelerate the development process.

The pattern recognition is particularly relevant in the context of coding. Neural networks, especially deep learning models, are commonly employed for pattern detection and classification tasks. These models simulate human decision-making and can identify patterns in data, making them well-suited for tasks like code analysis and generation.

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$61.0K - $75.0K/yr (Outscal est.)

$68.0K/yr avg.

Worldwide

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