Swiggy Hiring Data Scientist, for its Ads Monetization Team. The function involves developing ML/DL-based total answers to optimize ad guidelines, pricing, and client-centered on. You’ll collaborate with move-useful teams to lay out surrender-to-prevent answers with the use of massive statistics. Proficiency in Python, SQL, Spark, and TensorFlow is needed, with arms-on enjoy in ML and statistical strategies. The position offers far-flung paintings with quarterly meetups. You’ll live up to date on ML research and assist clear up commercial enterprise issues. Candidates with zero years of enjoyment and a sturdy problem-fixing mindset are endorsed to use.
Role: Data Scientist
Company: Swiggy
Location: India
Work Type: Full–time
Swiggy Hiring Data Scientist
Swiggy is hiring for the vicinity of Data Scientist – I with a remote working model in which employees can artwork from anywhere and meet quarterly. This position is a part of the Ads Monetization Team, centered on optimizing advertisements during Swiggy’s systems, together with Food and Instamart. The group works on system learning (ML) and deep getting-to-know (DL) answers to enhance ad tips, pricing, and user focus The facts scientist will mine Swiggy’s massive historical statistics, collaborate with engineers and product managers, and stay updated with the trendy ML research to improve marketing campaign average overall performance.
About Company
Swiggy is searching for a Data Scientist – I to sign up for its Ads Monetization Team, running remotely with quarterly in-individual meetups. The function entails developing revolutionary tool reading solutions for enhancing ad suggestions, pricing, and person targeting, with a robust emphasis on massive statistics and ML/DL strategies. Candidates will collaborate intently with engineers, analysts, and product managers to construct scalable structures. Ideal candidates with personal talent in Python, SQL, Spark, and TensorFlow, with great problem-fixing talents. The function is suitable for smooth graduates or people with zero years of enjoyment.
Job Responsibilities:
Develop next-era ML solutions for advert guidelines, leveraging optimization techniques for better campaign results.
Analyze Swiggy’s massive datasets to discover insights and offer solutions to the corporation and customer revel in (CX) demanding situations.
Collaborate carefully with engineers, product managers, and analysts to lay and enforce prevent-to-cease ML answers at Swiggy’s scale.
Stay updated on current ML studies, specifically in Ads Bidding and Recommendation Systems, and study new methodologies for Swiggy’s worrying situations.
Present findings and answers to technical and non-technical audiences, each internally and externally.
Qualifications:
Bachelor’s/Master’s degree in a quantitative concern (zero-2 years of experience).
Excellent problem-fixing abilities and the capability to deconstruct problems from first standards.
Experience in applying ML/DL and statistical strategies to remedy organizational challenges.
Hands-on proficiency with Python, SQL, Spark, and TensorFlow.
Strong written and spoken verbal exchange abilities.
Preferred: Experience strolling with huge statistics and deploying models to production.
Bonus: Experience in e-exchange or logistics.
About Sw iggy’s Ads Monetization Team:
The Ads Monetization Team is accountable for designing, developing, and optimizing ML answers for advert lifecycles, starting from sourcing to pricing and custom design. They manage high-throughput, low-latency systems, delivering scalable solutions with a direct effect on purchaser enjoyment and business metrics.
Benefits at Swiggy
Flexible Remote Work: Swiggy gives a remote-first artwork way of life, allowing employees to artwork from any vicinity with quarterly meetups.
Learning and Development: Swiggy affords enough opportunities for expertise enhancement, including entry into online publications, workshops, and mentoring packages.
Competitive Compensation: Employees maintain aggressive profits collectively with normal performance-based total bonuses and equity options.
Health and Wellness: Comprehensive medical health insurance for employees and their families, which encompasses highbrow health help and fitness packages.
Career Growth Opportunities: Swiggy encourages inner mobility, supplying clear paths for professional development and boom throughout departments.
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