Data Science Manager

4 weeks ago


India Vybe Cabs Full time

Company Description:


Vybe Cabs is an innovative urban mobility startup based in India. We are on a mission to redefine transportation by prioritizing safety, community engagement, and cutting-edge technology. Our platform offers unique features such as women-only rides and real-time safety alerts, ensuring the well-being of both drivers and passengers. We are dedicated to providing reliable, secure, and personalized transportation solutions that contribute to community well-being and meet customer needs.


Role Description:


This is a full-time remote role for a Data Science Manager at Vybe Cabs. The Data Science Manager will oversee the day-to-day tasks related to statistical modeling, analytical skills, data science, statistics, and data analytics. They will lead a team of data scientists and analysts, ensuring the accurate analysis and interpretation of data to drive business insights and decision-making.


Key Responsibilities:


  • Analyze large datasets to identify trends, patterns, and insights.
  • Develop and implement statistical models to predict demand, optimize routes, and improve customer satisfaction.
  • Create dashboards and reports to visualize key performance metrics.
  • Conduct A/B testing to evaluate the impact of new features and initiatives.
  • Design and deploy machine learning algorithms to enhance predictive analytics.
  • Implement AI-driven solutions for dynamic pricing, ride allocation, and fraud detection.
  • Work closely with the engineering team to integrate data-driven solutions into the company’s platform.
  • Collaborate with the marketing team to analyze customer behavior and optimize marketing strategies.
  • Ensure data integrity and accuracy by implementing robust data validation processes.


Qualifications:


  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • Proven experience as a Data Scientist or in a similar role, preferably in the transportation or logistics industry.
  • Hands-on experience with data analysis, machine learning, and statistical modeling.
  • Proficiency in programming languages such as Python, R, or SQL.
  • Strong analytical and problem-solving skills.
  • Proficiency with data visualization tools such as Tableau, Power BI, or similar.
  • Experience with big data technologies such as Hadoop, Spark, etc.
  • Excellent communication and teamwork skills.
  • Experience with real-time data processing and streaming analytics.
  • Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.




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