Job highlights

- Expertise in full-stack development with skills in React.js, Node.js, REST APIs, and database management
- Design, develop, and maintain responsive web applications; integrate APIs; ensure security; perform testing and deployment

Job Title: Data Scientist Department: Data Science & Analytics

Employment Type: Full-Time

Experience: 03 Years

Work Location: As per company requirements

Reporting To: Data Science Lead / Analytics Manager

Job Summary

We are looking for a motivated and analytical Data Scientist to collect, process, and analyze complex datasets to generate actionable business insights. The ideal candidate should have knowledge of statistics, programming, machine learning, and data visualization to support data-driven decision-making.

Key Responsibilities

- Collect, clean, and preprocess structured and unstructured data.
- Analyze large datasets to identify trends, patterns, and business opportunities.
- Develop and evaluate statistical models and machine learning algorithms.
- Build predictive models to support business planning and decision-making.
- Use Python and SQL for data analysis and data manipulation.
- Create dashboards, reports, and visualizations to communicate findings.
- Perform exploratory data analysis (EDA) and feature engineering.
- Evaluate model performance and improve accuracy where appropriate.
- Collaborate with software engineers, business analysts, and other teams.
- Maintain data quality, documentation, and analytical workflows.
- Follow data privacy, security, and responsible AI practices.

Educational Qualifications




- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field preferred.
- Relevant academic projects, internships, or practical experience are an advantage.

Required Technical Skills
- Programming: Python or R.
- Data Analysis: Pandas, NumPy, and exploratory data analysis.
- Database: SQL and relational databases.
- Statistics: Probability, statistical testing, and regression analysis.
- Machine Learning: Scikit-learn and fundamental ML algorithms.
- Visualization: Power BI, Tableau, Matplotlib, or Seaborn.
- Data Processing: Data cleaning, transformation, and feature engineering.
- Tools: Jupyter Notebook, Git, and related development tools.

Required Skills
- Strong analytical and problem-solving abilities.
- Attention to detail and data accuracy.
- Ability to interpret complex information.
- Valuable written and verbal communication.
- Teamwork and time-management skills.
- Willingness to learn new tools, techniques, and technologies.

Preferred Qualifications
- Experience with real-world data science projects.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
- Basic knowledge of deep learning and natural language processing.
- Understanding of big-data technologies and model deployment.

How to Apply Interested candidates may submit their updated CV/resume, relevant project portfolio, GitHub profile (if available), and educational details through the company's authorized recruitment channel.

Regards,

Human Resources Department

Data Science & Analytics Recruitment Team

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