Data Scientist

2 weeks ago


Kolkata, West Bengal, India Risk Resources LLP Full time
Job Title: Data Scientist

Job Summary:
At Risk Resources LLP, we are seeking a highly skilled Data Scientist to join our team. As a Data Scientist, you will play a crucial role in analyzing web data to extract valuable insights and optimize online user experiences.

Key Responsibilities:
• Develop and maintain web analytics infrastructure and reporting systems.
• Monitor and analyze web traffic, user behavior, and conversion rates.
• Utilize statistical and machine learning techniques to uncover patterns and correlations in web data.
• Collaborate with cross-functional teams to understand business requirements and translate them into actionable analytics solutions.
• Design and implement A/B and multivariate testing to optimize website and marketing performance.
• Create dashboards and visualizations to communicate key insights to stakeholders.
• Identify opportunities for improving user experience, website performance, and digital marketing effectiveness.
• Conduct deep-dive analysis on specific user segments and behavior patterns.
• Implement tracking mechanisms and tags for web and digital marketing campaigns.
• Stay current with industry best practices and emerging trends in web analytics.
• Translate data findings into actionable recommendations and strategies.
• Collaborate with software and web development teams to implement tracking and data collection processes.
• Perform ad-hoc analysis and report generation as necessary.
• Communicate findings and recommendations to stakeholders at various levels of the organization.
• Ensure data accuracy, reliability, and consistency.

Requirements:
• Bachelor's or advanced degree in Data Science, Statistics, Computer Science, or a related field.
• Proven experience in web analytics and digital marketing analysis.
• Proficiency in Python, R, or other statistical analysis software.
• Expertise in using web analytics platforms such as Google Analytics, Adobe Analytics, or similar tools.
• Strong SQL skills for data extraction and manipulation.
• Experience with data visualization tools such as Tableau, Power BI, or similar.
• Understanding of statistical analysis, experimental design, and A/B testing methodologies.
• Ability to work with large data sets and databases.
• Excellent communication and presentation skills.
• Keen attention to detail and problem-solving abilities.
• Familiarity with digital marketing concepts and strategies.
• Knowledge of web development and tagging implementations.
• Ability to work independently and as part of a collaborative team.
• Strong analytical and critical thinking skills.
• Understanding of machine learning and predictive modeling is a plus.
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