Highlights
Collaborate on impactful projects, publish research findings, hands-on experience with big data.
Description
Job Summary
pWe are seeking a skilled Data Scientist to join our team at Swiggy. This role involves applying advanced machine learning and statistical techniques to solve complex business problems, from formulating mathematical models to deploying solutions in production.
Responsibilities
- Develop and implement ML/DL models for ad recommendation and campaign optimization.
- Analyze massive historical data to derive actionable insights for product improvements.
- Collaborate with cross-functional teams to design, develop, and deploy end-to-end data products.
- Stay updated with the latest advancements in ML research and apply them to real-world problems.
- Publish research findings and present at internal forums to share knowledge.
Required Skills
- Python
- SQL
- TensorFlow
- Data Analysis
- Machine Learning
Required Skills Explained
- Excellent problem-solving skills to deconstruct and formulate solutions from first-principles.
- Depth and hands-on experience applying ML/DL, statistical techniques to business problems.
- Strong proficiency in Python, SQL, Spark, Tensorflow.
- Experience working with 'big data' and shipping ML/DL models to production.
- Strong spoken and written communication skills for clear technical and non-technical communication.
Who is this for
pWe are looking for individuals with a strong quantitative background, who can think critically and solve complex problems. Ideal candidates have experience in building and deploying ML models at scale.
Why This Job is a Good Opportunity
ulliOpportunity to work on impactful projects in the logistics domain, contributing directly to customer experience and business metrics.liCollaborative environment where you can share ideas and publish work both internally and externally.liChallenging tasks that involve developing and deploying machine learning models at scale.liPotential for growth within a company deeply committed to data-driven decision-making.
Interview Preparation Tips
- Prepare examples of how you have applied ML/DL techniques to solve complex business problems in the past.
- Highlight your proficiency in Python, SQL, Spark, and Tensorflow by providing relevant project experiences.
- Practice explaining technical concepts in simple terms for non-technical stakeholders.
- Research Swiggy's logistics operations and current projects to understand potential areas of contribution.
Career Growth in This Role
pThis role offers opportunities for growth both technically and professionally. As a Data Scientist at Swiggy, you can deepen your expertise in machine learning and data science while taking on more complex projects that have a direct impact on the business. You will also have chances to collaborate with various teams, which can broaden your skill set and knowledge base. Additionally, the company's commitment to sharing ideas and publishing work provides platforms for personal and professional development.
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Skills
Frequently Asked Questions
What are the essential qualifications for this role?A bachelor's or master's degree in a quantitative field, 1-3 years of industry experience, strong Python, SQL, and TensorFlow skills.
Are there any specific domains I need to have experience in?Experience in ecommerce and logistics is preferred but not mandatory. Generative AI and NLP are also beneficial.
What kind of projects will I be working on?You’ll work on challenging projects like improving ad recommendations, optimizing campaigns, and developing data products that directly impact customer experience.
