Swiggy off campus Drive 2024- Data Scientist – I – Apply Now!
Swiggy off campus Drive 2024- Information Scientist – I Position. Candidates can undergo the small print and apply utilizing the hyperlink offered on the backside of the Submit.
Swiggy off campus Drive 2024- Information Scientist – I
Firm identify | Swiggy |
Web site | www.Swiggy.com |
Job Position | Information Scientist – I |
Work Location | Bangalore, Karnataka |
Job Sort | Full Time |
Expertise | 0-2 years |
Qualification | Bachelors or Masters diploma in a quantitative subject with 0-2 years of trade/analysis lab expertise |
Batch | Not Talked about |
Bundle | As much as INR 19 LPA(Anticipated) |
Job Description
Swiggy off campus Drive 2024- Information Scientist – I
Tasks
- Apply your experience in machine studying (ML), deep studying (DL), and statistical strategies to develop cutting-edge options that improve the accuracy of advert suggestions and optimize marketing campaign efficiency by superior optimization strategies.
- Analyze Swiggy’s in depth historic information to extract insights and generate modern concepts to handle enterprise and buyer expertise challenges.
- Collaborate with engineers, product managers, and analysts to outline detailed necessities, design technical options, and implement end-to-end inference programs at scale.
- Keep up to date with the newest developments in ML analysis, notably in advert bidding algorithms and suggestion programs, and adapt these developments to handle Swiggy’s distinctive challenges.
- Share your work by shows and discussions in inner and exterior boards, catering to each technical and non-technical audiences.
{Qualifications}
- Bachelor’s or Grasp’s diploma in a quantitative subject with 0–2 years of expertise within the trade or analysis labs.
- Important: Distinctive problem-solving talents with the potential to interrupt down advanced points and construct options from first ideas.
- Important: Sensible expertise in making use of ML/DL strategies and statistical strategies to resolve real-world enterprise issues.
- Fascinating: Fingers-on expertise with massive information applied sciences and deploying ML/DL fashions in manufacturing environments.
- Important: Proficiency in Python, SQL, Spark, and TensorFlow.
- Important: Sturdy verbal and written communication abilities.
- Advantageous: Familiarity with the e-commerce or logistics sector.
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The way to Apply?
- To use for a job, learn by all info offered on the job itemizing web page fastidiously.
- Search for the apply hyperlink on the job itemizing web page, normally positioned someplace on the web page.
- Clicking on the apply hyperlink will take you to the corporate’s utility portal.
- Enter your private particulars and every other info requested by the corporate within the utility portal.
- Pay shut consideration to the directions offered and fill out all mandatory fields precisely and fully.
- Double-check all the knowledge offered earlier than submitting the appliance.
- Be certain that your contact info is appropriate and up-to-date, and precisely mirror your {qualifications} and expertise.
- Submitting an utility with incorrect or incomplete info might hurt your possibilities of being chosen for an interview.
About Swiggy
Swiggy, a number one on-line meals supply platform headquartered in Bangalore, India, has revolutionized the way in which folks expertise meals supply providers. Based in 2014, Swiggy has quickly expanded its presence throughout main cities in India, offering a handy and environment friendly platform for customers to order meals from a various vary of native eating places. The corporate’s user-friendly app and web site allow prospects to discover quite a lot of cuisines and luxuriate in doorstep supply with swift and dependable service. With a dedication to making sure a seamless and pleasant eating expertise, Swiggy has grow to be a family identify, synonymous with comfort and high quality within the meals supply trade. By its modern method and customer-centric focus, Swiggy continues to play a big position in shaping the fashionable eating panorama in India.