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Machine Learning Solutions Architect
5 days ago
As a data scientist/machine learning engineer at Sigmaindustryeastnorth, your primary responsibilities will include designing solutions for distributed computing to handle large datasets. You will develop domain expertise to better understand business problems and provide relevant solutions for the organization/client. Your other key responsibilities will include creating clear and effective visualizations to present findings through visualizations and reports to non-technical stakeholders; communicating complex findings in a clear and understandable manner. You will collaborate with cross-functional teams, including business analysts, engineers, and decision-makers. You will also adopt an iterative approach to problem-solving, refining models based on feedback. Furthermore, you will understand and adhere to data privacy and ethical considerations.
Requirements:
You must have a Master's degree in Computer Science or Applied Physics/Mathematics. At least five years of professional experience working as a Data Scientist/Machine Learning Engineer is required. You should be proficient in programming languages such as Python or R for data manipulation and analysis; developing predictive models to forecast future trends and outcomes. Additionally, you should have knowledge of data analysis, statistical modeling, hypothesis testing, data cleaning and preprocessing, data wrangling, machine learning and algorithm selection, model evaluation, hyperparameter tuning, big data technologies, SQL and NoSQL databases, and Swedish and English (spoken and written). Familiarity with artificial intelligence is an added advantage.
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