🏢 Company Overview:
Confidential is a progressive organization focused on leveraging data-driven solutions to support strategic decision-making. We specialize in analytics, data modeling, and business intelligence to help clients maximize performance and achieve operational excellence. Our team values innovation, precision, and continuous learning, making it an ideal environment for individuals passionate about data science.
💼 Job Details:
- Employment type: Part Time
- Experience: 5 to 7 Years
- Salary: ₹55,000 – ₹75,000 monthly
- Location: Work For Home
- Work timing: 9:45 AM to 6:45 PM
- Working Days: 5 Days
- Education: Any Degree
📝 Job Description:
We are seeking a motivated part-time Data Science professional to assist in analyzing datasets, building predictive models, and generating valuable insights. This role is ideal for students, early-career professionals, or individuals looking to enhance their expertise in data science while working flexible hours. You will collaborate with the analytics team, contribute to ongoing projects, and support the development of data solutions for various business needs.
🔑 Key Responsibilities:
- Analyze structured and unstructured datasets to extract insights
- Build and test predictive and statistical models
- Assist in preparing data visualizations and reports
- Clean, preprocess, and validate data for analysis
- Collaborate with team members to improve existing analytics workflows
- Support the development of dashboards and data presentations
🛠️ Required Skills & Qualifications:
- Basic knowledge of Python, R, or SQL
- Understanding of machine learning algorithms and data analysis techniques
- Familiarity with visualization tools such as Power BI, Tableau, or matplotlib
- Strong analytical and problem-solving skills
- Ability to work independently and manage time effectively
- Students, freshers, or early learners in Data Science or related fields are welcome
🌟 Benefits:
- Hands-on experience in real-world data science projects
- Flexible part-time working hours
- Opportunity to learn from experienced data professionals
- Skill-building environment with exposure to modern tools & technologies
