Data Scientist

• At least a Bachelor’s degree in Computer Science, Statistics, Applied Math, or a related field.
• Minimum 1 year of experience in a Data Scientist role, preferably with exposure to technology sectors such as AI or Data Analytics.
• Strong problem-solving skills with an emphasis on product development.
• Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
• Knowledge of a variety of machine learning techniques Experience with advanced statistical techniques, concepts and experience with applications.
• Experience in data handling libraries: Pandas, Numpy, SciPy, etc.
• Experience in data visualization libraries: Matplotlib, Seaborn, Plotly, etc.
• Experience in data visualization applications: Tableau, Power BI, Google Data Studio, etc.
• Experience with data visualization tools like; panda, seaborn, powerbi, etc. 
• Experience with big data technologies and cloud services (AWS, GCP, Azure) 

• Extract valuable data from various sources implement advanced data mining techniques ensuring a rich dataset for analysis.
• Utilize machine learning tools for feature selection and to develop, optimize, and validate classifiers that are pivotal for predictive modeling.
• Conduct preprocessing of both structured and unstructured data to prepare it for analysis, ensuring data quality and usability.
• Improve data collection procedures to capture all necessary information for an effective analytic system, focusing on comprehensiveness and quality.
• Manage data processing, cleansing, and validation to ensure the integrity and reliability of data used in analysis.
• Analyze vast datasets to discover underlying patterns and insights that can inform business strategies and operational improvements.
• Design and implement prediction systems and machine learning algorithms to forecast future trends and behaviors, enhancing decision-making processes.
• Communicate complex analytical results clearly and effectively, enabling stakeholders to understand the findings and their implications.
• Propose innovative solutions and strategies to address business challenges, leveraging data-driven insights to guide decision-making.
• Work closely with Business and IT teams to integrate data science insights into business processes and IT systems, fostering a collaborative environment for continuous improvement.

We are looking for a Data Scientist, having expertise in data science and a deep understanding of business processes with the ability to communicate complex concepts to non-technical stakeholders. He/She will be responsible for extracting data from multiple sources, using machine learning tools to organize data, process, clean, and validate the data, for information and patterns, develop prediction systems, present the data in a clear manner, and propose solutions and strategies.