Swiggy Hiring Drive 2024: Swiggy Hiring Drive 2024 for its Data Scientist – I. Swiggy Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor’s degree or higher in Applied Mathematics, Statistics, Computer Science, or a related field. if you are interested, please apply as soon as possible.
Company Name: Swiggy
Role: Data Scientist – I
Location: Remote
Experience: 1 years
Qualification: Bachelor’s degree or higher in Applied Mathematics, Statistics, Computer Science, or a related field.
Batch: Any
Job Type: Full Time
Salary: 20.7 LPA (Expected)
Swiggy Hiring Drive 2024
Job Description:
- We seek enthusiastic individuals to join our Data Science team, focusing on multiple key areas like Fraud Detection, Location Intelligence and Catalog enrichments.
- This entry-level position offers an exciting opportunity for fresh graduates or those with less than one year of experience to kickstart their career in data science
- As a Data Scientist – 1, you will play a crucial role in enhancing our systems through the application of advanced mathematics, machine learning, statistics, and operations research techniques.
Requirements:
- Bachelor’s degree or higher in Applied Mathematics, Statistics, Computer Science, or a related field.
- 1 years of hands-on experience in industry or research lab settings.
- Strong expertise in machine learning algorithms and statistical methods.
- Strong analytical and problem-solving skills.
- Proficiency in Python.
- Ability to learn quickly and adapt to new technologies and tools.
- Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
- Previous experience in deep learning and internships in startup or product-based consumer/internet companies is preferred.
Responsibility:
- Responsible for solving non-trivial, high-impact problems impacting consumer experience using machine/deep learning, data mining, statistical analysis, and related techniques
- Showcase excellent problem-solving skills, and ability to deconstruct and formulate solutions from first-principles
- Assist in collecting, cleaning, and preprocessing data for analysis and conduct exploratory data analysis to uncover insights and trends.
- Develop and deploy machine learning models on large-scale datasets.
- Collaborate with cross-functional teams to understand business requirements and translate them into actionable data science solutions.
- Stay updated on the latest trends and advancements in data science and machine learning techniques.
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