Job Overview
| Details | Description |
|---|---|
| Company Name | Swiggy |
| Job Title | Data Scientist – I |
| Job Location | Swiggy Bengaluru, Karnataka, India |
| Employment Type | Full-time |
| Industry | Online food ordering Q-commerce |
| Application Deadline | [31/12/2003] |
Key Responsibilities
- What you will do
- You will leverage your strong ML/DL/Statistics background to build new and next generation of ML based solutions to improve the quality of ads recommendation and leverage various optimization techniques to improve the campaign performance.
- You will mine and extract relevant information from Swiggy’s massive historical data to help ideate and identify solutions to business and CX problems.
- You will work closely with engineers/PMs/analysts on detailed requirements, technical designs, and implementation of end-to-end inference solutions at Swiggy scale.
- You will stay abreast with the latest in ML research for Ads Bidding algorithms, Recommendation Systems related areas and help adapt it to Swiggy’s problem statements.
- You will publish and talk about your work in internal and external forums to both technical and layman audiences.
Eligibility Criteria
| Criteria | Description |
|---|---|
| Education | Graduation |
| Experience | 1-2 Years Experienced |
| Skills | Strong spoken English |
| Excellent problem solving skills | |
| Depth and hands-on experience in applying ML/DL |
Qualifications
- Bachelors or Masters degree in a quantitative field with 0-2 years of industry/research lab experience
- Required: Excellent problem solving skills, ability to deconstruct and formulate solutions from first-principles
- Required: Depth and hands-on experience in applying ML/DL, statistical techniques to business problems
- Preferred: Experience working with ‘big data’ and shipping ML/DL models to production
- Required: Strong proficiency in Python, SQL, Spark, Tensorflow
- Required: Strong spoken and written communication skills
- Big plus: Experience in the space of ecommerce and logistics.
Application Process
- Visit the official website: [Apply Link].
- Create an account or log in.
- Fill out the application form.
- Submit your resume and cover letter.
- Await confirmation.
Important Notes
- Make sure to double-check all your application details before submission.
- Only shortlisted candidates will be contacted.