Swiggy hires exciting Data Science job in Bangalore 2024.

Swiggy is hiring for a Data Science job in Bangalore 2024. Both Freshers and Experienced candidates must apply for this position and Grab this opportunity.

Hello Data Folks, This is the great opportunity for all the individuals who have interest in Data Science domain, must start a job at Swiggy for the position of Data Scientist in Bangalore. If you are someone who is interested in this Job role must read there all responsibilities and requirements. And If you are someone who is looking for Data Science Jobs in India or some other opportunities in Data Sector, must Subscribe to our Web Notification or follow us on other social media handles.

About Company

Swiggy is an Indian online food ordering and delivery company founded in 2014 by Sriharsha Majety, Nandan Reddy, and Rahul Jaimini. Headquartered in Bangalore, Swiggy operates in over 580 cities across India. Besides food delivery, Swiggy has diversified its services to include quick commerce through Swiggy Instamart and same-day package deliveries with Swiggy Genie. The company has grown rapidly, becoming one of India’s largest and most valuable food delivery platforms.

About Job Role

Data Science and applied ML is ingrained deeply in decision making and product development at Swiggy. Our data scientists work closely with cross-functional teams to ship end-to-end data products, from formulating the business problem in mathematical/ML terms to iterating on ML/DL methods to taking them to production. We own or co-own several initiatives with a direct line of sight to impact on customer experience as well as business metrics. We also encourage open sharing of ideas and publishing in internal and external avenues.

Responsibilities

• 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.

Requirements

• 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.

About the Ads Monetization Team

This team is responsible for building and optimizing ML solutions for the full lifecycle of ads across both Food and Instamart Business lines, everything from sourcing the right set of ads to pricing them to targeting them via personalized and multi-objective-optimized user-response models. Ads being one of the highest throughput and lowest latency systems at Swiggy, we are also maniacally focused about delivering pragmatic and scalable solutions.

Why Join Swiggy?

• With regard to food ordering services in India, Swiggy leads from the front owing to the fact that data science and ML are at the heart of the business strategy as well as customer service.
• North America Swiggy’s data science team closely interacts with product managers, engineers, as well as analysts in order to develop innovative algorithms and products based on data; this makes it a suitable candidate for the individuals who seek to play a significant role in the sector.
• As a data scientist on Swiggy’s Ads Monetization team, you’ll be part of high-impact projects that shape user experiences through advanced ML solutions, from ad sourcing and pricing to precision targeting, all designed for scalability and efficiency in both the Food and Instamart business lines.
• Apart from offering a competitive data scientist salary, Swiggy believes in maintaining a work-life balance and offers the option of a remote data science job.
• Swiggy promotes a never-ending learning and knowledge transfer culture by motivating their data scientists to keep abreast of the current ML trends, such as the recommendation systems and ad bidding algorithm, thus making it ideal for those who love technology.
• Delving into Swiggy is transforming into a purposeful organization with a significantly more prominent concern for innovation, satisfaction inclusive of opportunities for growth, which all alignment’s and focuses on the growth of a data scientist’s aspirations in their careers.

Career Growth and Opportunities

• At Swiggy, data scientists can thrive and indeed should, especially if they enjoy tackling problems which are large in scale and difficult in nature.
• As a Data Scientist in the Ads Monetization team, you be responsible for generating revenue using machine learning techniques and data analytics to improve ad quality and focus on how well the ads fit into the overall Swiggy experience.
• This work from home data science job does not only involve working in silos but it also collaborates a lot with other teams, which gives an opportunity to work on the entire data science life cycle – from defining a business problem for an ML task to delivering and maintaining the solution in production.
• From this reason one can say that Swiggy lays down so much emphasis on learning that it is the best organization to nurture one’s career.
• Practicing and using new tools and cutting-edge research further on a daily basis will enable one to keep practicing currently-needed skills in ML and data science paving the way for the advancement of a data scientist in future.
• The environment is characterized with impressed rotation of ideas because of the internal and external platforms and their interactions.
• For those aiming to grow as data scientists, Swiggy offers a highly supportive space to expand technical skills in Python, TensorFlow, and big data technologies while actively engaging with meaningful projects that influence the customer experience.
• Because of the vision at Swiggy for scaling and optimization of ads, this position mixes all the components that favor growth, learning and great work thereby placing one on a rewarding data science career path within the fast evolving technology space.

Industry Impact of the Role

• As a Data Scientist at Swiggy, you’ll contribute significantly to shaping the future of personalized advertising in the food and grocery delivery sector.
• Swiggy’s Ads Monetization Team is at the forefront of creating dynamic, scalable ML solutions that drive the ads lifecycle across both its Food and Instamart businesses.
• Working on this team places you at the intersection of data science, machine learning, and real-world business impact, where you’ll use advanced ML techniques to optimize ads targeting and bidding, improving both user experience and business outcomes.
• By building high-throughput, low-latency solutions, you will enhance the performance of campaigns, shaping ad interactions for millions of Swiggy users.
• This remote data science job offers an opportunity not only to gain competitive experience in applied ML but also to directly influence an industry that’s innovating rapidly.
• The skills and expertise you develop here are in high demand, translating to promising career advancement and competitive data scientist salary prospects within the tech-driven e-commerce and delivery landscape.

Learning and Development Opportunities

• At Swiggy, learning and development are core to the experience of being a data scientist.
• There is a cultural aspect within the company that encourages the employees to enhance their skills and tackle real world problems which makes the company ideal for entry level data scientists who wish to develop their careers further.
• At Swiggy, the data scientists are also exposed to rich machine learning (ML) and deep learning (DL) application ecosystems in areas such as ads recommendations, campaigns management and user responses predictions.
• This position is a remote data science job; hence, it affords the employee some degree of freedom and an opportunity to work in a cutting-edge and dynamic environment with a highly professional team.
• Beyond daily work, Swiggy encourages sharing insights and innovations both internally and externally, offering opportunities to publish findings and discuss projects with technical and broader audiences.
• With a competitive data scientist salary and access to advanced tools like Python, TensorFlow, and Spark, team members are well-supported in advancing their expertise in ML, big data, and analytics. This supportive setting enables data scientists to continuously refine their skills while making a tangible impact on Swiggy’s business and customer experience.

Application Tips and Common Mistakes

• Before applying to the job post, make sure that your resume serves its purpose by showcasing relevant skills including Python, SQL, Spark, Tensorflow is crucial.
• Make sure that you should customize your resume before applying particular job role and also add the relevant skills mentioned in Job description without any failure.
• Finally, always remember that your resume fulfills the expectations of the job description and also showcase your project work very well in your resume.

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🔴 Note : ⤵️

• Read all criteria and information carefully and make changes in resume according to that by adding relevant keywords so that their are more changes to get an interview call, otherwise you will lose an opportunity.
• So make sure that read all the info and then proceed to apply.
• This all the job description we are taken from company’s official Page, so do check it.
• Check salary(given salaries are according to Glassdoor & Ambition-box), qualification and other details on the company’s official website as well.
• Before applying check once the company’s profile and what company actually do and which role they are hiring.

✅Best of luck👍 and have a Great future ahead.✨

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👨‍💼About the Author ⤵️

Rishikesh Deshmukh

I am working with a dedicated team of experts committed to helping job seekers find a right job opportunities in Data Domain Sectors. We aim to match job seekers with latest job openings in Data Domain.