Are you a recent college graduate who has a strong interest in machine learning and data science? Data Scientists are needed for Swiggy, one of the top meal delivery services in India, starting in 2024. In addition to competitive salary and the flexibility to work remotely, this career provides an exciting opportunity to address large-scale real-world challenges.
About Swiggy:
After completely changing the Indian meal delivery market, Swiggy is currently searching for bright Data Scientists to help them streamline their corporate processes. Working with large datasets and state-of-the-art machine learning (ML) techniques, you’ll be able to enhance user experience and ad targeting, among other things, in this position.
Job Role: Data Scientist
As a data scientist at Swiggy, you will be responsible for developing and optimizing models using machine learning that power Swiggy’s marketing, consumer recommendations, and more. This is a work-from-home role that allows you to work remotely while meeting with the team once a quarter at the base location.
Job Details:
- Company Name: Swiggy
- Job Title: Data Scientist
- Work Mode: Work From Home (Meet in office once a quarter)
- Qualification: Bachelor’s Degree
- Experience: 0-2 years
- Salary: Rs. 92,000 per month
Key Responsibilities:
In this role, you will:
- Collaborate closely with engineers, product managers, and analysts to define specific requirements, create technical designs, and deliver end-to-end machine learning solutions.
- Present your work in internal and external venues, explaining technical and non-technical issues to a variety of audiences.
- Analyze Swiggy’s enormous historical data to gain valuable insights that can help solve business problems and improve customer experiences.
- Stay up to date on the newest ML research, particularly in areas such as Ads Bidding algorithms and recommendation systems, so that Swiggy can apply the most advanced solutions.
Job Requirements:
To be successful in this role, you’ll need:
- Excellent problem-solving abilities to address complicated commercial and technical concerns.
- Hands-on expertise with big data and deploying ML/DL models in production settings.
- Proficiency with Python, SQL, and Spark.
- Strong written and oral communication skills are required to convey difficult topics to both technical and non-technical audiences.
Why Should You Apply?
- Work From Home: Enjoy the flexibility of remote work while contributing to a large-scale enterprise.
- Competitive compensation: With a monthly compensation of Rs. 92,000, this is an excellent opportunity for recent graduates and those with up to two years’ experience.
- Growth Opportunities: Swiggy is a food delivery industry leader, giving you the opportunity to work on real-world problems and advance your career in data analytics.
- Cutting-Edge Technology: Work with enormous datasets and stay up to date on the latest developments in machine learning and artificial intelligence.
How to Apply:
Interested in this exciting opportunity? Here’s how you can apply:
- Click on the Apply Now link on the job listing page.
- Fill in your personal details, academic background, and work experience.
- Upload the required documents such as your resume.
- Review the information and submit your application.
- Double-check that your contact information is correct and your qualifications are well-presented.
Top 10 Interview Questions for Swiggy’s Data Scientist Position:
Preparing for the interview? Here are 10 common questions you might face during the process, along with brief answer tips:
- What experience do you have with machine learning and data science?
- Answer Tip: Highlight any projects in which you created and deployed ML models. Mention related tools, such as Python and Spark.
- How do you approach solving a complex problem?
- Answer Tip: Walk the interviewer through your problem-solving steps, from understanding the problem to implementing the solution.
- Can you explain a machine learning project you’ve worked on?
- Answer Tip: Describe the challenge, your method, the algorithms you employed, and the results.
- How do you handle large datasets in production environments?
- Answer Tip: Share your experience with large data management and analysis tools such as Spark and Python.
- What are your favorite Python libraries for data science, and why?
- Answer Tip: Mention famous libraries like as Pandas, NumPy, and Scikit-learn and describe how they’ve helped you with your projects.
- Can you explain a time when your analysis led to a significant business impact?
- Answer Tip: Give a specific example of how your data analysis or ML model enhanced performance or resolved a business problem.
- How do you stay updated with the latest trends in ML and data science?
- Answer Tip: Mention following research papers, attending webinars, and reading machine learning-related blogs.
- What techniques do you use to validate your machine learning models?
- Answer Tip: To maintain model accuracy, consider strategies such as cross-validation, confusion matrix, and A/B testing.
- How do you ensure collaboration while working remotely?
- Answer Tip: Discuss the value of communication tools like Slack, regular check-ins, and collaboration sites like GitHub.
- Why do you want to work at Swiggy as a Data Scientist?
- Answer Tip: Share your enthusiasm for Swiggy’s groundbreaking work in machine learning and how you want to help improve customer experience and business processes.
Swiggy’s Recruitment for Data Scientists is an excellent chance for recent graduates seeking to enter the data science area. Apply today to take advantage of this opportunity to work from home for one of India’s premier technology businesses!