Padmi

Data Scientist In Netherlands-New Zealand-Canada-Ireland-Australia-Germany

IndiaPosted 2 months ago
Data Science And StatisticsMid-levelFull Time; Regular
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URGENT HIRING !!! For more information call or whatsapp - +91 8527600240 location's : Netherlands-New Zealand-Canada-Ireland-Australia-Germany ( Not In India ) Benefits : Medical Insurances , Travel allowances , Flight Tickets , Meals , etc Job description:- Collect, clean, and analyze large volumes of structured and unstructured data. Develop predictive models, machine learning algorithms, and statistical models to solve business problems. Identify trends, patterns, and insights to support strategic decision-making. Design and implement data mining and data analysis techniques. Build, test, and optimize machine learning and artificial intelligence (AI) models. Collaborate with business stakeholders to understand data requirements and objectives. Prepare, transform, and validate data from multiple sources for analysis. Develop dashboards, reports, and visualizations to communicate analytical findings. Evaluate model performance and continuously improve prediction accuracy. Perform exploratory data analysis (EDA) to identify opportunities and risks. Work with data engineers to develop and maintain scalable data pipelines. Apply statistical methods to solve complex business and operational challenges. Document data models, methodologies, and technical processes. Ensure data quality, integrity, security, and compliance with data governance policies. Deploy machine learning models into production environments and monitor their performance. Research and implement new data science techniques, tools, and technologies. Support business forecasting, customer analytics, risk assessment, and optimization initiatives. Collaborate with cross-functional teams including software developers, analysts, and product managers. Present analytical insights and recommendations to technical and non-technical stakeholders. Stay updated with advancements in data science, artificial intelligence, machine learning, and big data technologies.

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