Job Title: Data Scientist I
Company: Swiggy
Degree: Bachelor’s or Master’s in a quantitative location
Salary: Competitive, Not Disclosed
Location: Remote (with quarterly visits to the base vicinity)
Experience: 0–2 years
Company Overview: Swiggy, based in Bangalore, India, is a pioneering force inside the meals shipping employer, set up in 2014. The company gained popularity for revolutionizing food delivery with its seamless and man or woman-best platform, providing superb convenience to the masses of customers across the u. S. A . It’s challenge is to elevate the normal level for its clients by making it easy to get right of entry to a huge sort of eating places and food options at their fingertips. Over the years, It has increased its services past food delivery to encompass grocery delivery through Instacart, a skip that underscores its dedication to becoming a comprehensive on-name shipping platform.
At the heart of Swiggy’s success is its progressive use of generation and information technology. The corporation has ingrained data technology and carried out device learning (ML) deeply into its selection-making techniques and product development. This technological prowess lets Swiggy optimize its operations, decorate consumer testimonies, and keep an aggressive side in the market. The statistics generation institution at Swiggy performs an essential feature in constructing and deploying stop-to-prevent statistics merchandise that copes with numerous commercial enterprise challenges, from improving transport instances to personalizing purchaser interactions.
It’s manner of life fosters innovation and collaboration, encouraging employees to think creatively and push the limits of what’s possible. This is obvious in their technique for commercials monetization, wherein the crew is focused on constructing and optimizing ML answers for the whole ad lifecycle. By leveraging advanced ML strategies and constantly mining Swiggy’s large historical facts, the team aims to enhance ad hints and marketing campaign overall performance, in the long run, in the use of higher commercial enterprise results and purchaser satisfaction.
The employer’s ways flung paintings coverage allows personnel the ability to artwork from anywhere, with periodic gatherings at their base place to ensure group cohesion and effective collaboration. This bendy working environment has been particularly beneficial in attracting pinnacle understanding from various backgrounds, further enriching Swiggy’s revolutionary talents.
Key Responsibilities
As a Data Scientist at Swiggy, you will be an essential part of the Ads Monetization Team, responsible for constructing and optimizing system studying (ML) solutions for advert lifecycle management across Food and Instacart industrial employer lines. Your function will include:
Developing ML Solutions: Utilize your expertise in ML, deep getting to know (DL), and statistical strategies to create new and revolutionary ML-based answers geared within the route of improving ad advice and advertising campaign fundamental overall performance.
Data Mining: Extract applicable information from Swiggy’s large ancient records to ideate and select effective solutions to industrial employer and client problems.
Collaborative Development: Work carefully with engineers, product managers (PMs), and analysts to build up specific necessities, layout technical answers, and place into impact give up-to-save-you inference models that can scale with Swiggy’s operations.
Research and Development: Stay updated with the extraordinarily modern-day studies in ML, mainly within the areas of Ads Bidding algorithms and Recommendation Systems, and adapt those upgrades to Swiggy’s problem statements.
Knowledge Sharing: Publish and gift your paintings in each internal and outdoor forum to a entire lot of audiences, from technical experts to laypeople.
Qualifications and Skills
Educational Background: Bachelor’s or Master’s degree in quantitative trouble collectively with Computer Science, Statistics, Mathematics, or associated disciplines.
Experience: 0–2 years of organization or studies lab, enjoy.
Problem-Solving Skills: Excellent hassle-solving talents, capable of deconstructing complex troubles and formulating effective answers from first necessities.
Technical Proficiency:
In-intensity statistics and hands-on enjoy with ML/DL and statistical techniques.
Proficiency in Python, SQL, Spark, and TensorFlow.
Big Data Experience: Preferred experience in jogging with massive datasets and deploying ML/DL models in manufacturing environments.
Communication Skills: Strong verbal and written communication talents.
Industry Knowledge: Experience in the e-exchange and logistics sectors is a substantial advantage.
Why Join Swiggy
Joining Swiggy as a Data Scientist, I offer you a completely specific opportunity to paintings in dynamic and modern-day surroundings in which facts and technological know-how are deeply integrated into desire-making and product development. At Swiggy, you will have the freedom to artwork remotely, with periodic team conferences to foster collaboration and facts sharing. The role offers a platform to apply your ML/DL statistics to actual worldwide problems, notably impacting the patron experience and commercial organization metrics. It emphasis on non-prevent analyzing and improvement manner you’ll typically be endorsed to find out new thoughts, research, and generation.
Summary of Swiggy
It based in Bangalore, India, has hastily grown to turn out to be a first-rate on-call delivery platform, revolutionizing the food shipping landscape in India. With its revolutionary offerings, huge eating place network, and commitment to consumer satisfaction, It has set new benchmarks in consolation and reliability. The organization’s manner of existence of innovation and excellence is pushed with the resource of its committed group of experts who constantly try to beautify and grow its services. It’s use of superior technology and records technological know-how has been a cornerstone of its fulfillment, permitting it to supply fantastic prices to its clients and partners.
How to Apply
To observe for the Data Scientist I role at Swiggy, please go to our careers net web page at careers. Swiggy. Com and position up your utility via the internet portal. Please make sure you offer a complete resume highlighting your qualifications, capabilities, and relevant revel in. We appear beforehand to receive your software and explore the possibility of you becoming a member of our dynamic crew at Company.
By becoming a member of Company, you will be a part of an advance-questioning enterprise that values innovation, collaboration, and patron pleasure. If you have the talents and ardor to make a distinction within the fast-paced global of statistics generation and meals shipping, we encourage you to apply and take the next step in your profession with Company.
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