Data Scholar
Purpose of Work: Inqline is an AI company with offices in the United States, Pakistan and the Philippines. We are looking for someone who is inspiring, flexible and able to join our Data Science team. The candidate will serve as a member of the product development team. The eligible nominee must have a reasonable knowledge of at least 4 years of Data Science experience in an open source technology environment.
Inqline is a small company with significant dynamics, and in this first phase, Data Scientist will work in partnership with Product Management and Engineering.
Qualifications and Skills:
Education and Experience
Bachelor’s or degrees in Computer Science / Engineering, Mathematics / Statistics Data Science skills
Experience solving machine learning problems using Python
Knowledge and experience of using a variety of machine learning methods
(supervised / unsupervised, integration, tree-reading, neural networks, etc.) and their real world benefits / barriers / strategies.
Knowledge and experience of using mathematical techniques and advanced ideas (retrospective, distribution structures, mathematical tests, and practical application, etc.) for practical applications. Knowledge and experience in mining and data mining strategies: GLM / Regression, Random Forest, Promotion, Trees, text mining, network analysis analysis, etc.
Information and information on Pandas, Numpy, Sklearn, Featuretools, Auto-sklearn, Matplotlib, Seaborn, etc.
Explore new learning algorithms, OR apply them to real-world business machine learning models in production, and improve their integration or previous basic skills (e.g., predictive web application).
Knowledge and experience in using Data Engineering pipes to the end Understanding and experience by monitoring the production model after production.
Help users discover the Inqline platform and be successful in their use by providing training to users with a variety of backgrounds and skill levels (data data, IT, analysts, managers, etc.)
Responsibilities
- A critical part of the Research and Development team
- Design, develop, and test algorithms and code for feature selection, Feature Engineering, Clustering, and Classification.
- Research and Development of new methods for improved outcomes
- Participate in the Design and Development of Machine Learning Programs and manage appropriate Shipping and Production issues
- Planning Languages / Frames
- Expert in Python data science. Bash writing is compilation.
- Distributed data / computer tools: You should know that Postgresql and others are good to have (such as Map / Reduce, Hadoop, Hive, Spark, Postgresql, etc.)
- Understanding writing / interaction with web APIs, preferably REST / JSON
- Information for various details - Relational, NoSql, document, columnar
System Engineering Skills
Understanding system engineering concepts and operating in a Linux-based environment (OS basics etc.). Ubuntu and CentoOS / RHEL in particular.
High understanding of the natural state of the clouds, working with containers (Docker, etc.). General understanding of SSH concepts, TLS, network connectivity, firewalls, authentication, and authorization, etc. required for any business service construction / solution.
Years of Experience:
A minimum of 4 years of experience is a prerequisite for applying for a position.
Application deadline: 27/09/2021
Type of work: Full-time
Consideration of COVID-19:
1. Check your daily temperature before entering the office
Application Questions:
Do you have field knowledge in Science Data?
How many years have you used Python?
Education:
Title (Required)
Experience:
Data Science: 4 years (Optional)
Language:
English (Preferences)
No comments:
Post a Comment