Data Science Professional

NeoSOFT Technologies is looking for Data Science Professional to join our dynamic team and embark on a rewarding career journey

• Data Exploration and Analysis:Explore and analyze large datasets to identify trends, patterns, and correlations
• Utilize statistical methods and machine learning algorithms to derive actionable insights
• Model Development:Design, develop, and implement predictive models and machine learning algorithms
• Collaborate with cross-functional teams to integrate models into business processes
• Feature Engineering:Engineer features from raw data to improve model performance and accuracy
• Work on optimizing feature selection and extraction techniques
• Data Preprocessing:Cleanse and preprocess raw data to ensure data quality and consistency
• Handle missing data, outliers, and other data-related challenges
• Model Evaluation and Validation:Evaluate model performance using appropriate metrics and validation techniques
• Fine-tune models to improve accuracy, precision, and recall
• Collaboration:Collaborate with data engineers, business analysts, and stakeholders to understand project objectives and requirements
• Communicate findings and insights to non-technical stakeholders in a clear and understandable manner
• Deployment and Integration:Collaborate with IT teams to deploy models into production environments
• Integrate models into existing systems and workflows
• Continuous Learning:Stay current with industry trends, advancements in data science, and emerging technologies
• Implement new methodologies and technologies to enhance data science capabilities