Data Scientist

Company Overview

Note: Company details have not been provided.

Job Summary

The Data Scientist will play a crucial role in analyzing complex data sets to help drive business decisions. This position involves developing models, algorithms, and reporting tools that provide insights to various stakeholders within the organization.

Responsibilities

• Develop and implement predictive models and algorithms to solve business problems.
• Analyze large sets of structured and unstructured data to identify trends and patterns.
• Collaborate with cross-functional teams to understand data needs and provide analytical support.
• Create and maintain dashboards and visualizations to communicate findings to non-technical stakeholders.
• Conduct experiments and suggest improvements based on data-driven insights.
• Document processes and maintain a repository of data sources and models.

Qualifications

• Education: Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field.
• Experience: 2-4 years of experience in data analysis or data science.
• Technical Skills:
  • Proficiency in programming languages such as Python or R.
  • Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy).
  • Knowledge of machine learning techniques and frameworks (e.g., Scikit-learn, TensorFlow).
  • Familiarity with SQL and database management systems.
  • Understanding of data visualization tools (e.g., Tableau, Power BI).
• Soft Skills:
  • Strong analytical and problem-solving abilities.
  • Excellent communication skills for presenting findings.
  • Ability to work collaboratively in a team-oriented environment.

Preferred Skills

• Familiarity with big data technologies (e.g., Hadoop, Spark).
• Experience in cloud platforms (e.g., AWS, Azure).
• Knowledge of statistical analysis and methodologies.

Experience

• 2-4 years of relevant experience in a data science or analytics role.

Environment

The position is based in Noida, Sector 6. The typical work setting includes a standard office environment with collaboration among team members.

Salary

Note: Salary details have not been provided.

Growth Opportunities

Note: Potential career advancement opportunities have not been specified.

Benefits

Note: Benefits details have not been provided.