🏢 Company Overview:
Amazon is a global leader in e-commerce, cloud computing, and technology innovation. The company leverages advanced data analytics and machine learning to deliver exceptional customer experiences. Amazon offers a collaborative and dynamic work environment where professionals can drive business impact and develop their careers in data science and analytics.
💼 Job Details:
- Employment type: Full Time
- Experience: Intern
- Salary: ₹55,000 – ₹80,000 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 an Associate Manager in Data Science to lead data-driven projects and teams. The ideal candidate will have expertise in statistical modeling, machine learning, and analytics to generate actionable insights that support strategic decision-making. This role involves managing data science initiatives, collaborating with cross-functional teams, and mentoring junior data scientists.
🔑 Key Responsibilities:
- Lead data science projects and ensure delivery of actionable insights
- Design, develop, and deploy statistical models and machine learning algorithms
- Collaborate with business stakeholders to understand requirements and define analytics solutions
- Mentor and guide junior data scientists in methodologies, best practices, and tools
- Analyze large datasets to uncover trends, patterns, and opportunities
- Communicate findings effectively to both technical and non-technical audiences
- Ensure data quality, integrity, and compliance with privacy standards
🛠️ Required Skills & Qualifications:
- Strong experience in Python, R, SQL, and data visualization tools
- Expertise in machine learning, statistical modeling, and predictive analytics
- Experience with cloud platforms (AWS preferred)
- Excellent problem-solving, analytical, and communication skills
- Leadership and team management experience
- Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field
🌟 Benefits:
- Opportunity to lead data-driven projects at a global technology leader
- Exposure to cutting-edge tools, machine learning frameworks, and cloud technologies
- Collaborative and innovative work environment
- Career growth and professional development opportunities
- Flexible work arrangements including remote and hybrid options
