About Company:
Swiggy, India’s top tech-driven on-demand delivery service, was founded in 2014 with the goal of improving urban consumers’ quality of life by providing unmatched convenience. The network is designed to link hundreds of thousands of eateries and shops in more than 500 locations with millions of customers. Our remarkable expansion has been fueled by excellent technology, amazing creativity, and wise decision-making.
- Job Description: I am a Data Scientist
- Required Degree: B.E., B.Tech, M.E., M.Tech, B.Sc., or M.Sc.
- Pay/CTC: Top of the Industry
- Workplace: All throughout India
Regarding the job
- Remote work: Throughout the year, employees will be able to work from anywhere. Once every quarter, these workers, who make up the vast majority, will gather for a week at their base site.
- Swiggy’s Data Science: Data science and applied At Swiggy, machine learning is a fundamental part of both product development and decision-making. From developing the business challenge in mathematical/ML terms to refining ML/DL techniques to bringing them to production, our data scientists collaborate closely with cross-functional teams to deliver end-to-end data products.
- We are the owners or co-owners of a number of initiatives that directly affect company KPIs and customer experience.
- We also support publication both internally and outside, as well as the free exchange of ideas.
Concerning the Ads Monetization Group:
- From finding the best set of ads to pricing them and targeting them using multi-objective, tailored user-response models, this team is in charge of developing and refining machine learning solutions for the whole ad lifecycle across the Food and Instamart business lines.
- In addition to having one of Swiggy’s fastest throughput and lowest latency systems for ads, we are obsessively committed to providing workable and expandable solutions.
What you’re going to do:
- Your solid foundation in machine learning, deep learning, and statistics will be put to use as you develop innovative and cutting-edge ML-based solutions to enhance the caliber of ad recommendations.
- You will sort through Swiggy’s extensive historical data and extract relevant information to aid in brainstorming and problem-solving for business and customer experience challenges.
- You will remain up to date on the most recent machine learning research in areas linked to recommendation systems and ads bidding algorithms, and assist in adapting it to Swiggy’s problem statements.
- In internal and external forums, you will present and discuss your work with audiences who are both technical and non-technical.
Requirements:
- a quantitative bachelor’s or master’s degree and 0–2 years of experience working in a lab or industry
Needed:
- Outstanding problem-solving abilities, including the capacity to dissect and develop solutions from first principles
- Thorough and practical experience with statistical and machine learning techniques to solve business problems is necessary.
- Favorite: Strong command of Python, SQL, Spark, and Tensorflow is necessary, as is prior experience dealing with “big data” and delivering ML/DL models to production.
- Strong communication abilities, both in writing and speaking, are necessary.
- A huge plus: experience in the logistics and e-commerce industries.
FAQs :
1. What roles are available for freshers in Swiggy’s Data Science team?
Swiggy is hiring freshers for entry-level Data Scientist roles, where candidates will work on data-driven insights, machine learning models, and analysis to optimize Swiggy’s operations and enhance user experience.
2. What qualifications are required to apply for a Data Scientist role at Swiggy?
Fresh graduates with a bachelor’s, master’s, or Ph.D. in fields like Computer Science, Data Science, Statistics, Mathematics, or related fields are eligible. Candidates should also have a strong foundation in data analysis, statistics, and machine learning.
3. What technical skills are preferred for Swiggy’s Data Scientist positions?
Proficiency in programming languages like Python or R, experience with data analysis libraries (e.g., Pandas, NumPy), machine learning frameworks (e.g., TensorFlow, Scikit-Learn), and familiarity with SQL and data visualization tools are highly valued.
4. How can freshers apply for the Data Scientist position at Swiggy?
Applications can be submitted through the Swiggy Careers website or various job portals. Freshers need to create a profile, upload their resume, and complete any additional application steps listed in the job posting.
