🏢 Company Overview:
Cloudside is a forward-thinking technology company specializing in data-driven solutions, cloud computing, and AI-based services. We help businesses transform complex data into meaningful insights that drive growth and innovation. At Cloudside, we believe in empowering young talent by offering opportunities to learn, experiment, and build strong careers in data science and analytics.
💼 Job Details:
- Position: Entry Level Data Scientist
- Location: Odisha, India
- Employment Type: Full-time / Internship
📝 Job Description:
Cloudside is looking for ambitious and analytical freshers to join our data science team. As an entry-level data scientist, you will work with experienced professionals to collect, process, analyze, and visualize data for real-world business problems. This role is an excellent opportunity for recent graduates who want to start their career in data science, machine learning, or analytics.
🔑 Key Responsibilities:
- Assist in collecting, cleaning, and organizing datasets
- Work with the team to build basic analytics models and machine learning algorithms
- Support in developing dashboards, data visualizations, and reports
- Help analyze patterns and trends to provide actionable insights
- Collaborate with cross-functional teams on data-related tasks
- Document processes, findings, and methodology clearly
🛠️ Required Skills & Qualifications:
- Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or related field
- Basic understanding of Python, R, or SQL
- Familiarity with data visualization tools such as Tableau, Power BI, or Matplotlib
- Strong analytical and problem-solving skills
- Ability to learn quickly and work collaboratively in a team
- Freshers or recent graduates are encouraged to apply
🌟 Benefits:
- Hands-on training from experienced data scientists
- Exposure to real-world data projects and industry tools
- Growth opportunities in analytics and machine learning
- Supportive and collaborative work environment
- Skill-building through workshops and internal training programs
