May 7, 2024
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New York, NY, United States
May 7, 2024
Apply NowJob description
This is a remote position.
Data Scientist Engineer- Remote Job, 1+ Year Experience
Annual Income: $60K - $65K
A valid work permit is necessary in the US/Canada
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.
Responsibilities
We are seeking a talented Remote Data Scientist to join our team. As a Data Scientist, you will play a key role in analyzing complex datasets to extract insights and drive data-driven decision-making. Your responsibilities will include:
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.
Data Scientist Engineer- Remote Job, 1+ Year Experience
Annual Income: $60K - $65K
A valid work permit is necessary in the US/Canada
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.
Responsibilities
We are seeking a talented Remote Data Scientist to join our team. As a Data Scientist, you will play a key role in analyzing complex datasets to extract insights and drive data-driven decision-making. Your responsibilities will include:
- Utilizing statistical analysis, data mining, and data visualization techniques to extract insights from complex datasets.
- Demonstrating strong programming skills in languages such as Python, R, or SQL, and using libraries and frameworks for data manipulation and analysis.
- Applying machine learning algorithms and techniques for predictive modeling, classification, clustering, and recommendation systems.
- Cleaning, preprocessing, and transforming raw data into usable formats for analysis, including handling missing values, outliers, and inconsistencies.
- Understanding the business domain or industry context to interpret results and generate actionable insights.
- Effectively communicating complex technical findings and insights to non-technical stakeholders through reports, presentations, and visualizations.
- Identifying and framing business problems, formulating hypotheses, and designing experiments to validate solutions.
- Implementing experimental design principles and A/B testing methodologies to conduct experiments and measure the impact of changes or interventions.
- Using data visualization tools and techniques to create informative and visually appealing charts, graphs, and dashboards for communicating insights.
- Maintaining awareness of ethical considerations and privacy concerns related to handling sensitive data, and adhering to best practices and regulatory requirements.
- Staying updated with the latest developments in data science, machine learning, and related technologies through self-learning, training, and professional development activities.
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.
