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Job Overview

Functional Area


Work preferred

Work from Office


Min Experience

1 Years

Max Experience

3 Years


We are looking for an outstanding data scientist to be a part of our team as a Data Analyst. In this role, you will be responsible for leveraging data-driven insights and advanced analytics techniques to drive marketing strategies and optimize our product offerings. If you are someone who is data enthusiastic and loves to work within Data Science, Artificial Intelligence, and Statistics, this role is for you!


  • Collaborate with product management teams to prioritize product roadmap initiatives based on data-driven insights and market demand.
  • Develop metrics and dashboards to monitor product performance, customer engagement, and conversion rates, and provide insights for continuous improvement.
  • Partner with internal stakeholders including Operations, Finance, Product, and the Channel team to develop paid marketing strategies and budget decisions based on data insights
  • Synthesizer business insights and collaborate with measurement applied scientists to find opportunities to improve the current paid marketing measurement framework


  • M. S., or Bachelors degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields.
  • Knowledge of underlying mathematical foundations of statistics, optimization, economics, and analytics. Knowledge of experimental design and analysis.
  • 1+ years of Strong experience in data analysis, statistical modeling, and machine learning techniques, with a proven track record of solving complex business problems
  • Meticulous attention to detail and thorough data quality assessment to drive accurate and reliable insights
  • Excellent interpersonal skills and stakeholder management
  • Advanced SQL expertise with a strong focus on time and space optimization
  • Proficiency in Python, and experience working with data manipulation and analysis libraries (e. g., Pandas, NumPy, sci-kit-learn).
  • Strong knowledge of big data frameworks (e. g. Hadoop, Spark) and prior experience in building long-running/stable data pipelines
  • Solid understanding of data virtualization principles and experience with visualization tools (e. g., Tableau, Looker) to optimally communicate insights.
  • Excellent judgment, critical thinking, and decision-making skills

This job was posted by Nikita Sharma from Uber.


AnalyticsArtificial IntelligenceContinuous ImprovementDashboardsData AnalysisData AnalystData ManipulationData QualityData ScienceFinanceMachine LearningOperationsProduct ManagementPythonQualityResearchSqlStatistical ModelingStatisticsTableauVisualization