for Fresh Candidates
for intermediate Candidates
for Experienced Candidates
Average Salary
Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related fields
A Data Scientist is responsible for analyzing complex datasets to extract insights, identify patterns, and support decision-making. The role involves using statistical methods, machine learning algorithms, and data visualization tools to interpret data, build predictive models, and provide actionable recommendations. Data Scientists work in industries such as finance, healthcare, IT, e-commerce, and manufacturing to optimize processes and drive business growth.
40 hours per week (standard full-time schedule)
Monday to Friday
Typical shift: 9:00 AM – 6:00 PM
Overtime may be required depending on project deadlines
Proficiency in programming languages such as Python, R, SQL, or Java
Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn
Knowledge of data visualization tools such as Tableau, Power BI, or Matplotlib
Strong analytical, statistical, and problem-solving skills
Understanding of big data technologies like Hadoop or Spark
Communication skills for presenting insights to stakeholders
Ability to work in a team-oriented environment
Collect, clean, and process structured and unstructured datasets
Develop predictive and prescriptive models to support business decisions
Analyze patterns and trends in large datasets
Collaborate with business teams to define data requirements and objectives
Present data insights and visualizations to stakeholders
Monitor and improve machine learning models
Ensure data security and compliance with privacy regulations
Maintain documentation of datasets, models, and analysis
Health insurance
Paid annual leave and public holidays
Transportation allowance
Overtime pay for extra working hours
Pension and retirement plans
Training programs and support for professional certifications
Flexible working hours or remote work options
Career growth opportunities in AI, machine learning, data engineering, or IT management