Position:
Data Scientist - I
Company:
Swiggy
Location:
India
Job Type:
Full-time
Job Mode:
Remote
Job Requisition ID:
[Not Provided]
Years of Experience:
< 1 year [Even internship experience works]
Company Description:
- 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.
Profile Overview:
- 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.
Qualifications:
- 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.
- Less than one year of hands-on experience in an industry or research lab setting (even intern experience works)
- 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.
Additional Info:
- 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.
Please click here to apply.
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