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Main Responsibilities: 

• Work with stakeholders to understand their needs and translate them into technical requirements: This includes understanding the business goals of the stakeholders, and identifying the data that is needed to achieve those goals. 
• Develop and implement data science solutions: This includes using statistical and machine learning techniques to extract insights from data and develop models that can be used to predict future outcomes or prescribe actions. 
• Evaluate the performance of data science solutions: This includes tracking the accuracy of predictions and the effectiveness of recommendations. 
• Perform advanced data analysis and develop sophisticated predictive and prescriptive models: This includes using statistical and machine learning techniques to extract insights from data and develop models that can be used to predict future outcomes or prescribe actions. 
• Explore and preprocess data to ensure data quality and suitability for analysis: This includes cleaning, formatting, and transforming data to make it ready for analysis. 
• Develop and deploy machine learning models into production environments: This includes making sure that machine learning models are working properly and that they can be used to make predictions or recommendations in real time. 
• Mentor and guide data scientists and promote knowledge sharing: This includes sharing knowledge and expertise with other data scientists, and helping them develop their skills and knowledge. 
• Deliver measurable business value through data-driven insights and recommendations: This includes using data science to identify opportunities to improve the business, and developing and implementing solutions that can help the business achieve its goals. 
• Conducting data analysis 
• Developing data visualizations 
• Integrating data with other applications 
• Troubleshooting data problems 
• Stay abreast of the latest data science advancements and industry trends 
• Writing data documentation 
• Promote the use of data science within the organization

Qualifications, Experience, and Skills: 

• Bachelor's degree in computer science, statistics, mathematics or a related field (preferred) 
• Minimum 3+ years of experience in the relevant field. 
• Proven experience in ETL/ELT, Oracle Data Integrator (ODI) is preferred. 
• Strong analytical thinking and problem-solving capabilities 
• Effective communication and interpersonal skills 
• Strong SQL queries, data modelling concepts are mandatory. 
• Data mining through state-of-the-art methods. 
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. 

Skills:

Models Evaluation, DL Frameworks, SQL, Python Knowledge,