🏢 Company Overview:
Amazon is a global leader in technology, e-commerce, and cloud computing, delivering innovative solutions to millions of customers worldwide. The company emphasizes data-driven decision-making, advanced analytics, and machine learning to enhance operational efficiency and customer experience. Working at Amazon provides an opportunity to work on cutting-edge technologies in a collaborative and growth-oriented environment.
💼 Job Details:
- Employment type: Full Time
- Experience: 3 to 5 Years
- Salary: ₹55,000 – ₹70,000 monthly
- Location: Work For Home
- Work timing: 9:45 AM to 6:45 PM
- Working Days: 5 Days
- Education: Any Degree
📝 Job Description:
Amazon is seeking a highly skilled Senior Data Science Professional to lead analytics projects, build predictive models, and deliver actionable insights to drive business decisions. The ideal candidate will work with large datasets, implement machine learning algorithms, and collaborate with cross-functional teams to optimize processes and solutions.
🔑 Key Responsibilities:
- Develop and deploy machine learning models and predictive analytics solutions
- Analyze large-scale structured and unstructured datasets to identify trends and patterns
- Design and implement statistical models and algorithms to support business objectives
- Collaborate with product, engineering, and operations teams to translate business problems into analytical solutions
- Create dashboards, visualizations, and reports to communicate findings to stakeholders
- Mentor junior data scientists and support team skill development
- Ensure data quality, accuracy, and integrity across all analyses
🛠️ Required Skills & Qualifications:
- Strong proficiency in Python, R, SQL, and data analysis tools
- Experience with machine learning, AI, and statistical modeling
- Familiarity with cloud platforms such as AWS
- Strong analytical, problem-solving, and communication skills
- Ability to manage multiple projects and meet deadlines
- Advanced degree (Master’s or PhD) in Data Science, Statistics, Computer Science, or a related field preferred
🌟 Benefits:
- Opportunity to work on global, high-impact data projects
- Exposure to advanced analytics, AI, and machine learning technologies
- Flexible work arrangements including remote and hybrid options
- Professional development and continuous learning opportunities
- Collaborative and innovative work environment
