🏢 Company Overview:
WhatJobs Direct is a leading global job search and recruitment platform dedicated to connecting job seekers with the right opportunities across various industries. We focus on creating a seamless hiring experience for both employers and candidates by offering high-quality job listings, expert career insights, and personalized job-matching services. With a strong presence across India, WhatJobs Direct supports fresh talent and helps them step confidently into the ever-growing tech world.
💼 Job Details:
- Position: Entry Level Data Scientist
- Location: Himachal Pradesh, India
- Employment Type: Full-time / Entry Level
📝 Job Description:
WhatJobs Direct is seeking enthusiastic and curious entry-level candidates who are eager to begin their career in Data Science. As a member of our data team, you will assist in analyzing datasets, generating insights, building basic models, and supporting data-driven decision-making. This role is ideal for fresh graduates with strong analytical thinking and a passion for data.
🔑 Key Responsibilities:
- Collect, clean, and organize structured and unstructured datasets
- Assist in performing exploratory data analysis (EDA)
- Support in building basic machine-learning models
- Work with senior data professionals on real-time projects
- Create data visualizations and reports for internal teams
- Document processes and maintain data accuracy
- Stay updated with data science tools, technologies, and best practices
🛠️ Required Skills & Qualifications:
- Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field
- Basic knowledge of Python, R, or SQL
- Understanding of machine learning concepts and algorithms
- Familiarity with data visualization tools like Power BI, Tableau, or Matplotlib
- Strong analytical, problem-solving, and critical-thinking skills
- Excellent communication and willingness to learn
- Freshers or recent graduates are welcome
🌟 Benefits:
- Opportunity to gain hands-on experience in data science projects
- Mentorship and learning support from experienced data professionals
- Exposure to real-world datasets and analytical tools
- Flexible and collaborative work environment
- Strong career-growth opportunities in the data domain
