Swiggy is hiring for a Data Scientist-1

Position:

Data Scientist - I

Swiggy

India

Full-time

Remote

[Not Provided]

< 1 year [Even internship experience works]

Swiggy is India's premier on-demand delivery platform, with a primary focus on logistics and meeting consumer demands through technological innovation.
Operating in 500 cities across India, Swiggy partners with hundreds of thousands of restaurants to ensure vast coverage.
The company boasts a substantial employee base exceeding 5,000 individuals.
Supported by over 200,000 independent Delivery Executives, Swiggy ensures unparalleled convenience and service.
Utilizing robust machine learning technology and processing terabytes of data daily, Swiggy delivers a fast, seamless, and reliable experience for millions of customers.
Since its inception as a hyperlocal food delivery service in 2014, Swiggy has evolved into a logistics hub, providing swift deliveries and fulfilling work experiences for its employees.
Recent ventures include Swiggy Instamart, Genie, Dineout, and Minis, reflecting the company's ongoing innovation and market influence.
Swiggy is committed to being an equal opportunity employer, valuing diversity and inclusivity in its hiring practices.

Role: As a Data Scientist - I, you will engage in significant projects that impact the consumer experience, focusing on areas such as Fraud Detection, Location Intelligence, and Catalog Enrichments.
Responsibilities:
- Addressing complex, high-impact problems using machine learning, data mining, and statistical analysis.
- Demonstrating strong problem-solving abilities and developing solutions from fundamental principles.
- Assisting in data collection, cleaning, preprocessing, and conducting exploratory data analysis to identify trends and insights.
- Developing and deploying machine learning models on large-scale datasets.
- Collaborating with cross-functional teams to translate business requirements into actionable data science solutions.
- Staying informed on the latest trends and advancements in data science and machine learning techniques.
Opportunities: This role is ideal for fresh graduates or individuals with less than one year of experience who are eager to kickstart their careers in data science.

Educational Background:
- Bachelor's degree or higher in Applied Mathematics, Statistics, Computer Science, or a related field.
Experience:
- Less than one year of hands-on experience in an industry or research lab setting (even intern experience works)
- Previous internships in startup or product-based consumer/internet companies are preferred.
Skills:
- Strong expertise in machine learning algorithms and statistical methods.
- Excellent analytical and problem-solving skills.
- Proficiency in Python programming.
- Ability to learn quickly and adapt to new technologies and tools.
- Excellent communication and collaboration skills, capable of working effectively within a team environment.
- Experience in deep learning is an added advantage.

Remote Work: Employees have the flexibility to work remotely year-round, with quarterly meetups at their base location.
Team Collaboration: Emphasis on cross-functional teamwork to develop and implement data-driven solutions.
Learning and Development: Continuous opportunities to stay updated on the latest advancements in data science.
Company Values: Commitment to innovation, diversity, and equal opportunity employment, fostering an inclusive workplace environment.