Data Scientist - R/Python

You will be responsible for managing end-to-end delivery of data science projects, developing and validating predictive models using analytical tools, and collaborating with various teams to deploy analytical solutions. In addition, you will support internal teams in developing in-house products/analytical solutions and build models for descriptive and predictive analytics, including natural language understanding, conversational AI, forecasting, and automation. Your expertise will be crucial in data wrangling, exploratory data analysis, and feature engineering with large data sets. You will also play a key role in supporting the development of proofs of concept to demonstrate the application of analytical capabilities in solving customer problems, aligning the technology solution with business goals. To qualify for this role, you should have a Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or other quantitative fields. Familiarity with Agile methodologies and software development project management is required. Excellent written and verbal communication skills are essential, along with the ability to present complex technical information to non-technical audiences. Demonstrated flexibility, creativity, and patience in adapting to new situations and changing needs are also important qualities. Your skills should include proven ability in translating analytics output into actionable recommendations for key stakeholders, as well as experience in extracting and aggregating data from large datasets. Proficiency in statistical software such as Python, R, SQL, PySpark, or others is necessary. Competence in Excel, PowerPoint, and BI tools like Tableau, PowerBI, etc., is also expected. You will be responsible for assessing the effectiveness and accuracy of new data sources and data gathering techniques, developing custom data models and algorithms, and using predictive modeling to optimize customer experiences, revenue generation, data insights, and other business outcomes. Monitoring and analyzing model performance and data accuracy, partnering with key stakeholders/clients, extracting and understanding data to provide relevant insights, and developing visualizations for a broad audience are among your key responsibilities. Your role will also involve leadership and stakeholder management, requiring a high attention to detail and quality, as well as adaptability to work within a complex environment.,