Data scientist Internship in Delhi NCR at Datanstats

Key Responsibilities:

• Data Analysis & Modeling: Analyze large datasets to extract meaningful insights and patterns. Develop and implement statistical models and machine learning algorithms to solve complex business problems.
• Data Collection & Preprocessing: Gather, clean, and preprocess data from various sources. Ensure data quality and integrity.
• Data Visualization: Create and maintain dashboards, reports, and visualizations to communicate findings to stakeholders.
• Collaboration: Work with cross-functional teams, including product, engineering, marketing, and finance, to understand business needs and translate them into data-driven solutions.
• Experimentation: Design and conduct A/B tests and other experiments to optimize business processes and product features.
• Continuous Improvement: Stay updated with the latest industry trends, tools, and technologies in data science and machine learning. Continuously improve existing models and processes.

Qualifications:

• Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

Technical Skills:

• Proficiency in programming languages such as Python, R, SQL, etc.
• Experience with data visualization tools like Tableau, Power BI, or similar.
• Familiarity with machine learning frameworks (e.g., TensorFlow, Scikit-learn, PyTorch).
• Strong understanding of statistical analysis and predictive modeling techniques.

Soft Skills:

• Excellent communication and presentation skills.
• Strong problem-solving and critical-thinking abilities.
• Ability to work independently and as part of a team.
• Detail-oriented with a focus on data accuracy.

Preferred Qualifications:

• Experience in [specific industry or domain].
• Knowledge of big data technologies (e.g., Hadoop, Spark).
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).

Our customizable and modular solutions make us the product of choice for large and small-scale enterprises throughout the globe.