DATA SCIENTIST

Job Description

- Proactively explore datasets to identify hidden patterns, emerging trends, and key insights
- Employ data mining techniques to extract relevant features from raw data, creating new variables that improve the performance of analytical models and uncover hidden patterns.
- Use segmentation and clustering algorithms to identify distinct customer groups or market segments, enabling targeted marketing campaigns and personalized customer experiences.
- Apply predictive modeling techniques to uncover patterns and trends, validate model performance, and translate complex modeling output into clear, actionable recommendations for business improvement.
- Implement rigorous data quality checks and validation processes to ensure the accuracy, completeness, and integrity of data used for analysis and reporting, maintaining the reliability of insights and recommendations.
- Create BI/Visualization dashboards using Power BI/Qlik/other to visualize insights, trends and patterns
- Collaborate with technical stakeholders such as data architects, data modelers, enterprise architects, project managers, and platform architects to implement the large-scale data analytics and BI solution.
- Drive resolution of issues and ensure alignment across stakeholders, contributing to the overall data-driven culture of the organization.
- Bachelor's degree in Data Science, Data Analytics, Computer Science, Statistics, Economics or a related field.
- 3+ years writing complex SQL Queries, Python, R, Dynamic queries, and database objects such as Stored Procedures, Functions, Packages, and triggers as well as working with large data sets.
- 2+ years experience in Google Big Query and Google Cloud Platform.
- 1+ year experience on BI solutions using Power BI/Looker /Looker Studio/Qlik
- Experience in engaging in discussions focused on analytics implementation, customization, and automation of data collection processes.
- Excellent problem-solving and analytical skills.
- Detailed oriented with strong communication and collaboration skills.
- Ability to work independently and as part of a team.
- Must be able to manage time effectively within a complex environment, and always remain composed in the event of conflicting priorities.
- Proactively explore datasets to identify hidden patterns, emerging trends, and key insights
- Employ data mining techniques to extract relevant features from raw data, creating new variables that improve the performance of analytical models and uncover hidden patterns.
- Use segmentation and clustering algorithms to identify distinct customer groups or market segments, enabling targeted marketing campaigns and personalized customer experiences.
- Apply predictive modeling techniques to uncover patterns and trends, validate model performance, and translate complex modeling output into clear, actionable recommendations for business improvement.
- Implement rigorous data quality checks and validation processes to ensure the accuracy, completeness, and integrity of data used for analysis and reporting, maintaining the reliability of insights and recommendations.
- Create BI/Visualization dashboards using Power BI/Qlik/other to visualize insights, trends and patterns
- Collaborate with technical stakeholders such as data architects, data modelers, enterprise architects, project managers, and platform architects to implement the large-scale data analytics and BI solution.
- Drive resolution of issues and ensure alignment across stakeholders, contributing to the overall data-driven culture of the organization.