Data Scientist
2 weeks ago
We are looking for an experienced Data Scientist to join our team. Attractive joining bonuses for developers who can join in 1 week.
Experience: 5+ years
Salary: Competitive salaries based on experience and skill
Expected Notice Period: 2 weeks
Shift: At least 5 hours overlap with GMT
Opportunity Type: Remote
Placement Type: Permanent
What do you need for this opportunity?
Primary Skills:
Python, Statistics, Time Series
Traits:
You should be a strong communicator
Should be able to showcase excellent coding skills and be able to drive tech projects on your own
Have a strong motivation to work for startups or high-growth teams
About the role:
We're seeking an experienced Data Scientist to join our team, specializing in developing and deploying advanced AI models using Python, statistics, and ensemble algorithms. The ideal candidate will have a strong background in data analysis, machine learning, and time series data processing. The successful candidate will design, train, validate, and deploy automated AI models with high accuracy and consistency, utilizing tools like Big Query and Cloud Shell.
Roles & Responsibilities
Responsibilities:
Develop and implement ensemble AI algorithms using Python, focusing on time series data analysis and prediction
Design and train multiple cross-functional AI models, ensuring high accuracy and consistency
Perform data discovery analysis on large datasets, identifying patterns and trends
Work with CSV files, leveraging Big Query and Cloud Shell for data processing and visualization
Apply advanced statistical techniques, including Granger theory, auto-correlation, and auto-seasonality
Deploy and maintain automated AI models in production, ensuring seamless integration and reliability
Collaborate with cross-functional teams to integrate AI models into larger systems and applications
Benefits:
Remote working: Our team is remote and we fully embrace it. With employees located in different time zones, we embrace asynchronous work and ensure that everything we do reflects the hybrid nature of our culture, where everyone feels included.
Flexible working hours: You can choose to start/end your day at any time as long as there is a 5-hour overlap with the wider team.
Training: Learning and development is an important pillars of our culture and there are plenty of opportunities to learn, develop, and grow.
Project Requirements:
Qualifications:
Bachelor's / Master's degree in Computer Science, Engineering, or related field.
5+ years of experience in data engineering, machine learning, or a related field
Strong proficiency in Python, with experience in data science and AI development
Advanced knowledge of statistics, including ensemble methods, time series analysis, and data modeling
Experience with Big Query, Cloud Shell, and other cloud-based data processing tools
Familiarity with Granger theory and other advanced statistical techniques
Proven track record of developing and deploying accurate and consistent AI models
Excellent problem-solving skills, with the ability to work independently and collaboratively
About Magic Factory:
Magic Factory is a start-up for start-ups, enabling world-class funded start-ups to accelerate their product development by 2X. We partner with cutting-edge start-ups across the globe and help them augment their product development teams with world-class remote developers.
We are a start-up in the true sense of the word, built by passionate entrepreneurs and entrepreneurial engineers who have a passion for start-ups.
Come join us and work on solving real-world problems with a talented, passionate, and global team. Get exposure to best-in-class technologies and accelerate your learning curve.
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