🏢 Company Overview:
Amazon is a global technology and e-commerce leader, leveraging data-driven solutions to enhance customer experiences and business operations worldwide. The company fosters a collaborative and innovative environment where data scientists can work on cutting-edge projects, extracting actionable insights to drive strategic decisions.
💼 Job Details:
- Employment type: Full Time
- Experience: Fresher
- Salary: ₹5,000 – ₹10,000 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 talented Data Scientists to analyze large datasets, develop predictive models, and provide actionable insights to improve business performance. The role involves working with cross-functional teams to solve complex problems using data-driven approaches, machine learning, and statistical analysis.
🔑 Key Responsibilities:
- Collect, process, and analyze large volumes of structured and unstructured data
- Develop predictive models and machine learning algorithms
- Collaborate with business stakeholders to define data requirements and objectives
- Generate insights and visualizations to support decision-making
- Monitor model performance and optimize algorithms for accuracy
- Document methodologies, findings, and processes for team knowledge sharing
- Stay updated with the latest trends in data science, AI, and machine learning
🛠️ Required Skills & Qualifications:
- Strong proficiency in Python, R, or SQL for data analysis
- Experience with machine learning algorithms, data modeling, and statistical analysis
- Knowledge of big data platforms (e.g., AWS, Hadoop, Spark) is a plus
- Strong problem-solving and analytical abilities
- Excellent communication skills and ability to collaborate with cross-functional teams
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field
🌟 Benefits:
- Work on high-impact projects with a global technology leader
- Exposure to advanced analytics, machine learning, and cloud technologies
- Flexible work arrangements including remote and hybrid options
- Professional growth and continuous learning opportunities
- Collaborative and innovative work culture
