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DATA SCIENTIST

3-8 Years
Quick Apply
  • Posted 9 hours ago
  • Over 100 applicants have applied

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.

About Company

Job ID: 114194871

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