Data Scientist

• Analyze large, complex datasets to identify trends, patterns, and insights relevant to IT applications.
• Develop, validate, and deploy statistical models and machine learning algorithms to address business challenges.
• Design and execute experiments to test hypotheses and measure the impact of product changes.
• Collaborate closely with engineering, product, and business teams to integrate data solutions and provide actionable recommendations.
• Build and maintain robust data pipelines to support model development and deployment.
• Communicate complex findings and recommendations clearly and effectively to technical and non-technical stakeholders.
• Monitor and evaluate the performance of deployed models, implementing iterative improvements as needed.
• Contribute to the continuous improvement of data science practices and tools within the organization.

• B.Tech. degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
• 2-9 years of professional experience in a Data Scientist, Machine Learning Engineer, or similar analytical role.
• Proven proficiency in statistical analysis, experimental design, and machine learning techniques.
• Strong programming skills in languages such as Python or R, with experience in relevant data science libraries.
• Expertise in SQL for data extraction, manipulation, and analysis.
• Experience with data visualization tools and techniques to present insights effectively.
• Solid understanding of data structures, data warehousing, and ETL processes.
• Demonstrated ability to tackle complex problems with data-driven approaches.

Preferred Qualifications

• Advanced degree (Master’s or Ph.D.) in a quantitative discipline.
• Experience with big data technologies (e.g., Apache Spark, Hadoop).
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) for data storage and processing.
• Prior experience in the IT App Development industry or related technology sector.
• Excellent communication, presentation, and interpersonal skills.

• Comprehensive health, dental, and vision insurance coverage.
• Retirement savings plan with company contribution options.
• Generous paid time off, including vacation, sick leave, and holidays.
• Opportunities for professional development and continuous learning.
• A collaborative, inclusive, and innovative work environment.
• Access to cutting-edge tools and technologies.