About the Company:

Datahut is a leader in providing data solutions to companies around the world. We work with companies including Amazon, eBay, and Nielsen, helping them get data for the analytics. We have an opening for two interns in the marketing department. 

We will pay you a fair stipend for the contributions and will guide you in learning new technologies and concepts.

Job Summary:

As a Data Science Intern, you will play a crucial role in extracting and analyzing data from various websites. Your insights will directly contribute to our marketing team’s strategies, helping to enhance our brand visibility and overall market impact.

Key Responsibilities:

• Data Extraction:

  • Extract data from specified websites using automated tools or manual methods.

  • Ensure the accuracy and relevancy of extracted data.

• Data Analysis:

  • Analyze the extracted data using statistical methods.

  • Identify trends, patterns, and insights that can inform marketing strategies.

  • Create visualizations and reports to communicate findings.

  • Create blogs, case studies, and white papers 

• Collaboration:

  • Work closely with the marketing team to understand their data needs.

  • Present findings and recommendations to stakeholders.

  • Contribute to the development of data-driven marketing initiatives.

• Continuous Learning:

  • Stay updated with the latest trends and techniques in data science and marketing.

  • Apply new knowledge to ongoing projects.

Basic Qualifications:

• Completed a degree/diploma in engineering or pure sciences (maths, physics . chemistry)

• Coding skills in Python, particularly in data extraction and analysis libraries (e.g., Pandas, NumPy, BeautifulSoup).

• Basic understanding of statistical analysis and data visualization tools.

• Strong problem-solving skills and attention to detail.

• Excellent communication skills, both written and verbal.

Benefits:

• Opportunity to work in a fast-paced, innovative environment.

• Hands-on experience with real-world data science projects.

• Guidance and mentorship from experienced professionals.

• Potential for future employment opportunities based on performance.