🏢 Company Overview:
Morgan Stanley is a world-renowned global financial services firm offering a wide range of investment banking, securities, wealth management, and technology solutions. With a strong focus on innovation and data-driven decision-making, Morgan Stanley integrates advanced analytics, AI, and digital technologies to enhance business performance. The company is committed to nurturing talent, fostering innovation, and building the next generation of data science professionals.
💼 Job Details:
- Employment type: Full Time
- Experience: 2 to 4 Years
- Salary: ₹25,000 – ₹45,000 monthly
- Location: Work For Home
- Work timing: 9:45 AM to 6:45 PM
- Working Days: 5 Days
- Education: Any Degree
📝 Job Description:
Morgan Stanley is looking for talented individuals with a passion for data science, analytics, and web-based technologies. As a Web Data Science Associate, you will work on extracting insights from complex datasets, building analytical models, and supporting data-driven strategies across digital platforms. This role is ideal for candidates who are analytical thinkers, eager to explore the intersection of web technologies and data science.
🔑 Key Responsibilities:
- Collect, clean, and analyze large web-based datasets
- Develop models and algorithms to support data-driven initiatives
- Work with cross-functional teams to create dashboards and visualizations
- Assist in automating data workflows and reporting tools
- Support web analytics, user behavior tracking, and performance measurement
- Document processes and present insights to stakeholders
🛠️ Required Skills & Qualifications:
- Bachelor’s degree in Data Science, Computer Science, Statistics, or related fields
- Strong knowledge of Python, R, SQL, or other analytics tools
- Familiarity with web analytics tools (Google Analytics, Adobe Analytics)
- Understanding of machine learning models and statistical methods
- Ability to communicate complex findings clearly
- Strong problem-solving and critical-thinking skills
- Freshers or entry-level applicants are welcome
🌟 Benefits:
- Opportunity to work with a globally recognized organization
- Hands-on exposure to advanced data science tools and technologies
- Professional development through training and mentorship
- Collaborative, inclusive, and innovation-driven work culture
- Real-world data projects that enhance career growth
