Senior Data Scientist at Swiggy

📋 Job Details at a Glance 📍 Location Bangalore, Karnataka, India 🏢 Company Swiggy 👥 Experience 6-9 years 🎓 Qualification Bachelor’s, Master’s, or Ph.D. in Computer Science, Data Science, Statistics, or a related technical field 📅 Eligible Batch 2023, 2024, 2025 📄 Job Type Full Time 💰 Salary ₹32 – ₹50 LPA (varies based on technical depth and experience) 🏢 Industry Technology 🛠 Key Skills AI Data Science Machine Learning Deep Learning Large-scale Search Recommendation Systems NLP Generative AI Multi-agent workflows Senior Data Scientist at Swiggy — Full Details & How to Apply Swiggy is on the lookout for a talented Senior Data Scientist to join its innovative team in Bangalore, Karnataka . This role offers the chance to shape the future of food delivery through advanced data analytics and AI technologies, making it a pivotal position in the fast-paced food tech industry. The role of a Senior Data Scientist is increasingly vital in today's technology landscape, especially as businesses like Swiggy leverage data to enhance customer satisfaction and operational efficiency. With the rapid evolution of AI and machine learning, organizations are seeking professionals who can translate complex data into actionable insights. In the realm of food delivery, where consumer preferences shift rapidly, the ability to optimize recommendation systems and large-scale search functionalities is not just beneficial but essential for maintaining a competitive edge. Swiggy stands out as a leader in the food delivery market, renowned for its commitment to innovation and technology. The company’s culture fosters creativity and collaboration, allowing data scientists to work on cutting-edge projects that directly impact user experiences. With a focus on leveraging advanced technologies such as generative AI and multi-agent workflows , Swiggy provides an environment where your contributions can lead to significant advancements in the industry. This role is ideal for both freshers and candidates with up to 9 years of experience . Candidates must hold a Bachelor’s, Master’s, or Ph.D. in Computer Science, Data Science, Statistics, or a related technical field . Eligible batches include 2023, 2024, 2025, and 2026 graduates, making this an excellent opportunity for those looking to launch or advance their careers in data science. As a Senior Data Scientist at Swiggy , you will gain invaluable experience in AI , machine learning , and deep learning . You will work with large datasets to enhance recommendation systems and optimize large-scale search functionalities. This role will also allow you to hone your skills in natural language processing (NLP) and explore the latest advancements in cloud architecture and Agile workflows , positioning you at the forefront of technology in the food delivery sector. NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting, ensuring you have the most accurate and relevant information to apply online for this Senior Data Scientist position at Swiggy . Job Role & Responsibilities The role of Senior Data Scientist at Swiggy is pivotal in enhancing the company's data-driven decision-making processes. This position focuses on leveraging advanced machine learning techniques to improve user experiences through personalized recommendations. Design and implement advanced machine learning models to enhance Swiggy's recommendation systems, ensuring personalized user experiences. Utilize tools such as Python , TensorFlow , and SQL to analyze large datasets, driving actionable insights that inform business decisions. Collaborate with cross-functional teams , including product managers and software engineers, to integrate data-driven solutions into Swiggy's platform. Measure and report on the effectiveness of data models and algorithms, using metrics to refine and optimize performance continuously. Take ownership of projects from conception to deployment, fostering a culture of innovation and continuous improvement within the data science team. Document methodologies and findings clearly, ensuring knowledge transfer and alignment across teams for future projects. Identify and solve complex problems using innovative data science techniques, contributing to Swiggy's mission of redefining food delivery. Conduct experiments to validate hypotheses and improve model accuracy, ensuring that Swiggy remains at the forefront of data science innovation. In this role, you will take significant ownership of projects, contributing to a culture that values innovation and continuous improvement, ultimately impacting Swiggy's growth trajectory. Required Skills & Technical Competencies The ideal candidate for the Senior Data Scientist role at Swiggy should possess a robust skill profile that combines technical expertise with analytical prowess. This blend is essential for driving impactful data-driven initiatives. Technical Skills AI (Expert) — essential for developing intelligent systems that enhance user engagement. Machine Learning (Advanced) — proficiency in algorithms that improve the accuracy of Swiggy's recommendations. Deep Learning (Advanced) — experience with frameworks like TensorFlow to tackle complex data challenges. Natural Language Processing (NLP) — skills in enhancing user interactions through intuitive language processing. Large-scale Search — ability to optimize search algorithms for improved user experience. Recommendation Systems — expertise in designing systems that personalize user experiences effectively. Apache Spark — familiarity with this tool is advantageous for managing large-scale data processing. Cloud Platforms (AWS, GCP) — essential for deploying scalable data solutions. Soft Skills & Professional Competencies Analytical thinking — capability to dissect complex data sets to derive actionable insights. Problem-solving — adeptness in addressing intricate challenges with innovative solutions. Effective communication skills — ability to convey complex data insights to non-technical stakeholders. Collaboration — working seamlessly with cross-functional teams to achieve common goals. Good to Have (Bonus) Generative AI — knowledge in this area can enhance creative solutions for user engagement. Multi-agent workflows — experience in this domain can improve system efficiencies. Data Visualization Tools — familiarity with tools like Tableau or Power BI is a plus. To effectively showcase these skills in your resume or during an interview for the Senior Data Scientist position at Swiggy , focus on specific projects and outcomes that demonstrate your expertise and innovative thinking in data science. Eligibility Criteria This role is designed for candidates who are passionate about data science and have a strong academic and professional background. Ideal candidates will have a blend of experience and educational qualifications that align with the demands of the Senior Data Scientist position at Swiggy . Candidates must hold a Bachelor’s, Master’s, or Ph.D. in Computer Science , Data Science , Statistics , or a related technical field. Eligible batches include 2023, 2024, and 2025 graduates. Minimum 7.5 CGPA is preferred, reflecting a strong academic background. Candidates should possess 6-9 years of experience in data science or related fields. Prior internship or hands-on project experience is a strong advantage. Demonstrated ability to work on large-scale data projects is beneficial. Documentation & Portfolio Requirements Prepare a well-structured resume that highlights your relevant experience and skills. Include links to your GitHub or portfolio showcasing projects that demonstrate your data science capabilities. Relevant certifications in data science or machine learning will also strengthen your application. Pro Tip: Tailor your resume to emphasize your experience with machine learning and data analysis , as these are crucial for the Senior Data Scientist role at Swiggy . Salary & Benefits 💰 Compensation ₹32 – ₹50 LPA (varies based on technical depth and experience) The compensation philosophy at Swiggy for the role of Senior Data Scientist is designed to attract and retain top talent in the competitive technology industry. The salary for this role ranges from ₹32 – ₹50 LPA (varies based on technical depth and experience) , reflecting the candidate's technical depth and experience. What Your CTC Could Include Health Insurance — comprehensive coverage for employee and family worth ₹5 lakh annually Retirement Benefits — contributions to Provident Fund and Gratuity schemes Performance Bonus — annual bonuses based on individual and company performance Stock Options — eligibility for employee stock ownership plans, enhancing long-term financial growth Flexible Work Hours — options for remote work and flexible scheduling to promote work-life balance Additional Perks & Benefits Annual Learning Budget — up to ₹25,000 per year for certifications, courses, and conferences Free Meals — complimentary meals at the office to promote a healthy work environment Transportation Allowance — support for commuting costs to ensure convenience Wellness Programs — access to mental health resources and fitness initiatives Team Retreats — opportunities for team-building activities and outings Career Progression & Salary Growth At Swiggy , career growth is a priority, with structured promotion timelines and annual performance appraisals. Employees can expect raise percentages typical for the industry, which can range from 10% to 20% based on performance. The company supports rapid career advancement through internal mobility opportunities. NexisGrow.com tip: When negotiating your salary, consider highlighting your unique skills in data science and any specialized projects that demonstrate your value to Swiggy . Selection Process The hiring philosophy at Swiggy emphasizes finding candidates who not only possess the necessary technical skills but also align with the company's culture and values. The selection process for the Senior Data Scientist role is designed to evaluate both technical and interpersonal capabilities. 1 Round 1: Initial Screening — Review of applications and resumes focusing on relevant experience and skills. 2 Round 2: Technical Interview — Assessment of problem-solving abilities and knowledge of data science concepts through practical scenarios. 3 Round 3: Behavioral Interview — Evaluation of cultural fit and teamwork capabilities, often involving situational questions. 4 Final Offer Stage — Includes a background check and discussions regarding compensation and benefits. What Each Round Tests Round 1 focuses on your resume and relevant experience. Round 2 tests your technical skills in data science, while Round 3 assesses your communication skills and teamwork abilities. Timeline & Expectations The entire selection process typically takes 3-4 weeks from application submission to final offer. Candidates can expect timely communication from Swiggy regarding their application status. Interview Prep Tip: Familiarize yourself with Swiggy's products and data-driven decision-making processes to excel in your interviews. Frequently Asked Questions Interview · Role · Salary · Growth ? What are the eligibility criteria for the Senior Data Scientist role at Swiggy? Eligibility Tap to expand + Answer Candidates must have a relevant degree and 6-9 years of experience, with a preference for recent graduates from the 2023-2025 batches. ? What is the interview process for Senior Data Scientist at Swiggy? Interview Tap to expand + Answer The interview process includes a resume screening, technical interview, and behavioral interview, focusing on both skills and cultural fit. ? What technologies and tools will I work with? Tech Stack Tap to expand + Answer You will primarily work with Python, TensorFlow, SQL, and tools for large-scale data processing like Apache Spark. ? What is the salary and compensation for this role? Salary Tap to expand + Answer The salary ranges from ₹32 – ₹50 LPA, with opportunities for performance bonuses and growth based on contributions. ? Is this role work from home, hybrid, or onsite? Work Mode Tap to expand + Answer This role is primarily onsite in Bangalore, with potential for hybrid work arrangements depending on team needs. ? What is the career growth path after joining Swiggy as a Senior Data Scientist? Growth Tap to expand + Answer You can expect a structured growth path with opportunities for promotions and internal mobility within 6-12 months. ? How should I prepare for the Senior Data Scientist interview at Swiggy? Preparation Tap to expand + Answer Focus on brushing up on machine learning concepts, data analysis techniques, and prepare to discuss your past projects in detail. ? How do I apply and what documents are needed? Application Tap to expand + Answer Apply through the official link and submit your resume, highlighting relevant experiences and projects. ? Is there a probation period and what does it involve? Probation Tap to expand + Answer Yes, there is typically a 3-month probation period where performance and fit within the team are evaluated. ? What is the work culture like at Swiggy? Culture Tap to expand + Answer Swiggy promotes a collaborative and innovative culture, emphasizing diversity, continuous learning, and team support. Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com