Join Today: Data Science Intern

Position at a Glance:

• Location: Remote
• Position: Data Science Intern
• Company: Workwarp
• Compensation: a competitive salary
• Start Date: Immediate openings available

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About us:

Ecowiser, a part of ThrivingZen (OPC) Private Limited is an organization focused on making sustainable living hassle-free and affordable. Ecowiser provides sustainable product recommendations across fashion, food, cosmetics, and household products. Our team members have experience working at Google and top-tier business schools such as INSEAD.

Responsibilities:

1. Scraping, Cleaning, and Manipulating Data: Assist in gathering data from different sources, such as websites and databases. Help clean and preprocess data to ensure its accuracy and consistency.

2. Utilizing APIs to Manage Databases: Learn how to use APIs to access and retrieve data from external sources.

3. Developing Scripts for Data Extraction and Manipulation: Assist in developing scripts and tools to automate the process of extracting, transforming, and loading data.

4. Writing Code to Rate Brands and Products: Contribute to designing and implementing algorithms to assess and rate brands and products based on various criteria and data points.

5. Data Analysis and Visualization: Learn how to conduct exploratory data analysis to identify patterns, trends, and correlations within the data.

6. Collaborating with the Team: Work closely with the data science team and other cross-functional teams to understand data requirements, contribute to solution development, and deliver actionable insights.

Requirements: • Prior Internship/Job experience of 3-6 months is preferred • Knowledge of Data Analytics, Database Testing, Deep Learning, Python, etc. • Available for the work-from-home internship for 6 months • Have relevant skills and interests • Passionate about working towards a greener world!

Perks:
• Flexible working hours
• True startup experience and high growth potential
• Competitive stipend
• Certificate of completion and a letter of recommendation Apply Job!

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Simple Application Process

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